-
8/12/2019 SA_FAQ's(130)
1/49
1: Architecture (Infrastructure & Applications)
Siebel Analytics Architecture
Is made up of five main components:
Clients
Siebel Analytics Web Server
Siebel Analytics Server
Siebel Analytics Scheduler
Data Sources
Clients Provides access to analytics via Web browser
Siebel Dashboards
Siebel Answers
Siebel Delivers
Siebel Analytics Web Administration
Siebel Answers
Provides a self-service analysis platform
Is rendered from information in the Siebel Server ad Siebel
Analytics Web Server
Siebel Delivers
Client application that
Is used to create iBots
Delivers alerts to subscribed users
Is interated with Dashboards and Answers
!ob identifies what information to filter" when it should run
and who to send alerts to#
Siebel Analytics Web Administration
Is used to access administrative functions of Siebel analytics
web and view information aboutthe installed system Siebel Analytics
Web Server
Provides the processin to visuali$e the information for client
consumption
Is implemented as an e%tension to a web server
&ses the web catalo file '#webcat( to store aspects of the
application#
)eceives data data from the Siebel Analytics Server and provides
it to the client thatre*uested it#
Siebel Analytics Web Catalo (!"ebcat)
-
8/12/2019 SA_FAQ's(130)
2/49
Stores the application dashboards" re*uest definitions" paes and
filters
Contains information reardin permissions and accessibility of
the dashboards by roupsand users#
Is created when the Web server starts
Is specified in the reistry of the machine runnin the Web
Server
Is administered usin Siebel Analytics Catalo +anaer
Siebel Analytics Server
Provides efficient processin to intelliently access the physical
data sources and structuresthe information#
&ses metadata to direct processin
,enerates dynamic S. to *uery data in the data sources#
Connects natively or via /DBC to the )DB+S
Structures results to satisfy re*uests
+eres results when it enerates multiple *ueries#
Calculates measures on result sets when necessary#
Provides the data to the Siebel Analytics Web Server#
Siebel Analytics Server details
Several important components are used by the Siebel Analytics
Server
)epository file '#rpd(
Cache
0SConfi#ini
DB1eatres#ini
.o files
#epository $ile (!rpd)
Contains metadata that represents the analytical model#
Is created usin the Siebel Analytics Administration 2ool#
Is divided into three layers
Physical 3 represents the data sources#
Business 3 models the data sources into facts and
dimensions#
Presentation 3 specifies the user4s view of the model5 rendered
in Siebel Answers#
-
8/12/2019 SA_FAQ's(130)
3/49
Cache
Contains results of *ueries
Is used to eliminate redundant *ueries to database
Speeds up results processin
uery cachin is optional
Can be disabled
%SConfi!ini
Is a confiuration file used by the Siebel Analytics Server at
start up#
Specifies values that control processin" such as :
Definin the repository '#rpd( to load#
6nablin or disablin cachin of results#
Settin server performance parameters#
D'$eatures!ini
Is a confiuration file used by the Siebel Analytics Server#
Specifies values that control S. eneration
Defines the features supported by each database#
o files
0Server#lo records Siebel Analytics Server messaes#
0uery#lo records information about *uery re*uests#
Siebel Analytics Scheduler
+anaes and e%ecutes 7obs re*uestin data analysis#
Schedules reports to be delivered to users at specified
times#
In Windows" the scheduler runs as a service#
Data Sources
Contain the business data users want to analy$e#
Are accessed by the Siebel Analytics Server#
Can be in any format" such as
)elational databases
/nline Analytical Processin databases
-
8/12/2019 SA_FAQ's(130)
4/49
1lat files
Spreadsheets or other /DBC data sources
8+.
: Components ('I Server* Delivers Server* 'I Web* 'I Cluster*
+pen Intellience Interface)
o Siebel intellience Dashboards
o Siebel Answers
o Siebel Delivers
o Siebel Analytics Server and Siebel Analytics Web
o Siebel )elationship +anaement Warehouse 'S)+W(
o Siebel Analytics Administration 2ool
,: Cachin (uery* Web Server* Seed Cache* Siebel Analytic Server
Cache))
Cachin uery #esults
o uery e%ecution sometimes re*uires lare amounts of database
processin
o Siebel analytics server saves *uery results in cache files
o A *uery is evaluated to determine is it *ualifies for a cache
hit
o 1ulfillin a user4s *uery from e%istin results stored in the
cache instead of bein satisfied by the
database
o Cache files are stored in location as defined in the
0SConfi#ini file
Cachin Advantaes
o 6liminates redundant *ueries run on the database
o uery performance
o &sin cached results eliminates havin to access
database
o 1rees up database server to perform other tas9s
o 1aster response time when fulfillin a *uery from the cache
versus searchin throuh the
database
o 0etwor9
o Conserves networ9 resources by avoidin connection to the
database server
uery Cache
o .ocation where results are stored
-
8/12/2019 SA_FAQ's(130)
5/49
o 6ach cache file stores metadata and results of the re*uest
o Cache metadata is evaluated to determine if new *uery can:
o &se stored results" referred to as a cache hit or
o &se database for new results
Confiurin uery Cache
o 6nable and confiure cache storae in 0SConfi#ini file
o Specify directory for *uery cache storae
o Should be local" hih-performance" hih-reliability storae
device
Cache $iles
o Always produce the same results" even after database has been
updated
o
Issues with retainin cache files may arise
o 0ot purin outdated caches" 9nown as stale caches" can
potentially return inaccurate results
over time
o Si$eable consumption of dis9 space
o Can be manaed by definin the ma%imum rows cache entry and
ma%imum number of cache
entries in 0SConfi#ini
Cache -anaement .echni/ues
o &se cache manaement techni*ues to monitor and manae the
cache by:
o Confiurin cache parameters
o )estrictin tables as non-cacheable
o &sin Cache +anaer
o +odifyin column display
o Inspectin cache entries
o Purin cache entries
o Inspectin *uery S. usin event pollin tables
Confiurin Cache 0arameters
o In the 0S Confi file" specify the *uery volume" si$e of the
*uery result" and dis9 space
allocated for cachin
o When dis9 space has reached its limit" entries least recently
used '.)&( are discarded to ma9e
space for new entries
o )estrictin 2ables as 0on-Cacheable
-
8/12/2019 SA_FAQ's(130)
6/49
o By default" all tables in the database are cacheable
o Cache entry is created in the table has been *ueried
aainst
sin Cache -aner
o +onitors the entire *uery cache
o Administrators can view cache entries by cateory ' for e%ample
repository" sub7ect area" and
user(
o Allows administrators to manually pure entries by user or by
physical table
o Active in online mode only
-odifyin Column Display
o Administrators can modify columns displayed in the Cache
+anaer
o &nchec9 a column to remove it from display
o Promote or demote the order in which a column displays
o Select 6dit /ptions
Inspectin Cache #eport
o Provides administrators with performance information about the
system
o Select Action Show info from the Cache +anaer window
0urin Cache 2ntries
o Allows administrators to manually pure selected entries or the
entire *uery cache
o &se the C2). 9ey to specify certain cache entries
o Select 6dit Select all to select entire cache
Inspectin uery S
o Is useful in development or troubleshootin a potential
issue
o &seful in evaluatin cache statistics
Seed Cache:when ur publishin an iBot in the dashboard the cache
information reardin the report issaved in the cache file when aain
ur sendin this iBot to an e%ternal device the cache information
isrefreshed for that particular report but actually iBot doesn4t
contain any information reardin the cache#
3: SA -etadata Administration (0hysical ayer* oical ayer*
0resentation ayer)
Siebel Analytics #epository
Stores the metadata used by the Siebel analytics Server
Is accessed and e%posed usin the Analytics Administrator
2ool
-
8/12/2019 SA_FAQ's(130)
7/49
Is created by the architect who:
Imports metadata from databases and other data sources
Simplifies and reorani$es the metadata into business models
Structures the business model for presentation to users for
re*uestin information
Analytics Administration .ool
6%pose the Analytics )epository into three separate panes"
called layers
Physical layer
Business model and mappin layer
Presentation layer
0hysical ayer
Contains ob7ects representin the physical data sources to which
Siebel Analytics Server submits*ueries
2here can be multiple data sources
0hysical ayer +b4ects
6%pand a database ob7ect to display the ob7ects it contains"
such as:
Connection Pool /b7ect-specifies the connection between the
Siebel Analytics Server and a datasource
Schema 1older-contains the physical schemas of the tables and
columns of a data source
6ach ob7ect has a set of properties associated with it
'usiness -odel and -appin ayer
Is where the physical schemas are simplified and reorani$ed to
form the basis of the users viewof the data
'usiness -odel
Brea9s down a business into several loical components
Dimension are descriptive attributes" such as products and time
periods
1acts are business measures" such as dollars and units sold
'usiness -odel +b4ects
6%pand the Business +odel ob7ect to display the ob7ects it
contains
.oical 2able ob7ects contain loical columns and have one or more
data sources from thephysical layer
.oical Column ob7ects can have one or more table sources from
the physical layer
-
8/12/2019 SA_FAQ's(130)
8/49
'usiness -odel Sources +b4ect
6%pand the Sources folder to display the table and column
sources from the Physical layer
0resentation ayer
Contains Presentation Catalo ob7ects that provide a customi$ed
view of a business model to
users
Is the view of the data seen by users
5: 'uild* Deploy and 6eneratin #e/uests (Ans"ers* Interactive
Dashboards* Delivers* WebCatalo
Siebel Intellience Dashboards
Web user interface to analytics information
Siebel Ans"ers
/n-demand user interface to analytics information
Provides a self-service analysis platform
Is rendered from information in the Siebel Server ad Siebel
Analytics Web Server
Siebel Delivers
Platform to launch 7obs and proactively deliver results to
users
Clients application that:
Is used to create
Client application that
Is used to create iBots
Delivers alerts to subscribed users
Is interated with Dashboards and Answers
!ob identifies what information to filter" when it should run
and who to send alerts to#
Scheduled intellience 'ots (i'ots)
Proactive delivery of real-time "personali$ed" and actionable
intellience via Web" wireless"mobile" and voice
Capabilities content tailored to the device
Siebel Analytics Web Catalo (!"ebcat)
Stores the application dashboards" re*uest definitions" paes and
filters
-
8/12/2019 SA_FAQ's(130)
9/49
Contains information reardin permissions and accessibility of
the dashboards by roups andusers#
Is created when the Web server starts
Is specified in the reistry of the machine runnin the Web
Server
Is administered usin Siebel Analytics Catalo +anaer
7: S 8oins: I%%2# 8+I%s* +.2# 8+I%s* C#+SS 8+I%s! +.2# 8+I%s are
further classified as
I%%2# 8+I%:is used to retrieve rows those r havin matchin values
between the tables and is classifiedinto t"otypes
1# Inner 6*ui 7oin
# Inner 0on-6*ui 7oin#
If the relationship between columns of different tables is
established usin an;
-
8/12/2019 SA_FAQ's(130)
10/49
2he many-to-many relationship is that for each patient
admission" there can be multiple
dianoses# 1or e%ample" a patient can be dianosed with the flu
and with a bro9en wrist# 2he bride table
then needs to have a weiht factor column in it so that all of
the dianoses for a sinle admission add up
to a value of # 2he weiht factor has to be calculated as part of
the process of buildin the data# 1or the
case of the patient dianosed with the flu and a bro9en wrist"
there would be one record in the Admission
)ecords table" two records in the Dianosis )ecord table" and two
records in the Dianosis table
;: +b4ects can be Imported in 0hysical ayer (tables* vie"s*
Aliases* synonyms* system .ables*: Dimension ?ierarchy (Drill
-
8/12/2019 SA_FAQ's(130)
11/49
ou can use the Preferred Drill Path tab to identify the drill
path to use when Siebel Analytics
Web users drill down in their data re*uests# ou should use this
feature only to specify a drill path that is
outside the normal drill path defined by the dimensional level
hierarchy# 2his feature is most commonly
used to drill from one dimension to another# ou can delete a
loical level from a drill path or reorder a
loical level in the drill path
Drill 9ey is the 9ey throuh which we drill down from one
hierarchy to another hierarchy# And this
drill 9ey also used for eliminatin the duplicates
1@: 'usiness -odel Comple9 8oins (0lace holder) and hardcode
forein =ey
If the data is from the multiple physical sources then we have
to o for comple% 7oins and
comple% 7oins r also used to define relation between columns
that r not havin primary and forein 9ey
relationship#
And we can ive the column level relationship in comple% 7oins
and also we can mention the
cardinality of columns and also the type of 7oin and we can also
mention the drivin table which is on the
riht side of the 7oin condition which is the master table and
consists of less records in order to eliminate
the overhead of e%ecution time#
If there is no forein 9ey in the tables and doesn4t have any
primary 9ey and forein 9ey
relationships then v can o for the comple% 7oin#
11: 0hysical model Connection 0ool (shared oon and -a9imum
connections and $I$+)
2he ma%imum no oEf connections is E by default" this value
should be determined by thedatabase ma9e and model and the
confiuration of the hardware bo% on which the database runs as
well
as the number of concurrent users who re*uire access#
Select the Shared loon chec9 bo% if you want all users whose
*ueries use the connection pool to
access the underlyin database usin the same user name and
password#
If this option is selected" then all connections to the database
that use the connection pool will
use the user name and password specified in the connection pool"
even if the Siebel Analytics user has
specified a database user name and password in the DS0 'or in
the Siebel user confiuration(#
If this option is not selected" connections throuh the
connection pool use the database user ID
and password specified in the DS0 or in the Siebel user
profile
1: Shared loon in 0hysical layer of the #0D ho" it "or=s and
"hats the use of it
-
8/12/2019 SA_FAQ's(130)
12/49
Select the Shared loon chec9 bo% if you want all users whose
*ueries use the connection pool to
access the underlyin database usin the same user name and
password#
If this option is selected" then all connections to the database
that use the connection pool will
use the user name and password specified in the connection pool"
even if the Siebel Analytics user has
specified a database user name and password in the DS0 'or in
the Siebel user confiuration(#
If this option is not selected" connections throuh the
connection pool use the database user ID
and password specified in the DS0 or in the Siebel user
profile
1,: 6lobal 0rompt and $ilters* $ilter (is 0rompted) in SA
!5!,
,lobal prompt is nothin but a dashboard prompt which reflects on
the roup of paes that r
publishes in a dashboard" where a filter is used to restricts
the amount of data displayed in the report# If u
wants to reflect the chanes for a particular reports then this
can b done by ta9in as is prompted in the1ilter condition or in any
dashboard prompt also#
13: Dashboard +b4ects (content* reports* section* 0ae* Dashboard
and $older)
2he dashboard contains the followin ob7ects#
1! Sections
! ?tml
,! $olders
3! 2mbedded content
5! in= or imae
7! 6uided naviation lin=
! 'riefinboo= lin=s
15: Admin pae (Sessions* 0rivilees* Analytics Catalo* Web 6roups
and uses)
2he admin paeis used to do some administrative functions
li9e
1) -anae catalo roups and users: creates" edit" delete catalo
roups as well as remove catalousers
) manae presentation catalo: delete or rename set permissions
and view the properties of items inthe presentation catalo
-
8/12/2019 SA_FAQ's(130)
13/49
,) -anae interactive dashboards: create delete interactive
dashboards and control which users canaccess them
3) -anae sessions: view oracle business intellience session
information includin active users and*ueries
5) -anaed advance reportin: manae advanced reportin users
permissions 7obs files and folders
7) -anae privilees: manae privilees and rihts to users and
roups
) -anae device types: create edit" view or delete device
types
17: 2vent 0ollin (ho" event pollin is done and also 0urin)
(#epeated)
2vent pollintables store information about updates in
understandin databases
o Analytics Server polls table at set intervals and invalidates
any cache entries correspondin to
updated tables
o Can be sole method of cache manaement or be used with other
cache manaement techni*ues
o Caution: 2here will always be a pollin interval in which the
cache is not completely up to date
o )esult: Potential for stale data in cache
0urin Cache 2ntries
o Allows administrators to manually pure selected entries or the
entire *uery cache
o &se the C2). 9ey to specify certain cache entries
o Select 6dit Select all to select entire cache
2he purin can also b done by writin a script file by usin the
commands allsapurecash and
n*cmd command and pure the cache#
1: Slo"ly chanin Dimension (type1* .ype* type,)
Slowly Chanin Dimension @elps u to capture the chanes over a
particular period of time#
2he three types of scdsare
.ype1:A type dimension 9eeps the most recent data and it doesn4t
maintain the history#
.ype:A type dimension 9eeps the full history in the taret for
every chane it inserts the new record
In the taret###
.ype ,:A typeF dimension 9eeps the current and previous
information i#e# it maintains the partial history#
-
8/12/2019 SA_FAQ's(130)
14/49
1;: Associative 2ntity (Data -odelin)
An associative entityis an element of the 6ntity-relationship
model# 2he database relational
model doesn>t offer direct support to many-to-many
relationships" even thouh such relationships happen
fre*uently in normal usae# 2he solution to this problem is the
creation of another table to hold the
necessary information for this relationship# 2his new table is
called an associative entity#
1>: truncate and Delete (Auto commit on truncate)
.#%CA.2 is a DD command whereas D22.2 is a D- command# @ence
D6.626
operation can be rolled bac9" but 2)&0CA26 operation cannot
be rolled bac9# W@6)6 clause can be
used with D6.626 and not with 2)&0CA26#
@! .ypes of inde9es In +racle ('B* ' tree* clustered)
An indexis a performance-tunin method of allowin faster
retrieval of records# An inde% creates
an entry for each value that appears in the inde%ed columns# By
default" /racle creates B-tree inde%es
'tree inde9:A Btree is a binary tree# ,eneral all-round inde%
and common in /.2P systems# An /racle
Btree inde% has three layers" the first two are branch node
layers and the third" the lowest" contains leaf
nodes# 2he branch nodes contain pointers to the lower level
branch or leaf node# .eaf nodes contain
inde% column values plus a )/WID pointer to the table row# 2he
branch and leaf nodes are optimally
arraned in the tree such that each branch will contain an e*ual
number of branch or leaf nodes#
Clusters:Partial mere of inde% and data spaces" ordered by an
inde%" not necessarily the primary 9ey#
A cluster is similar to an inde% orani$ed table e%cept that it
can be built on a 7oin 'more than a sinle
table(# Clusters can be ordered usin binary tree structures or
hashin alorithms# A cluster could also be
viewed as a table as well as an inde% since clusterin partially
meres inde% and data spaces#
1: Areate %aviation* $ramentation* Initialiation 'loc=s and
ariables ()
Areate tables store precomputed results" that are measures that
have been areated
'typically summed( over a set of dimensional attributes#
&sin areate tables is a very popular
techni*ue for speedin up *uery response times in decision
support systems# 2his section includes a
description of how you can use areate naviation and provides
setup instructions#
If you are writin S. *ueries or usin a tool that only
understands what physical tables e%ist
'and not their meanin(" ta9in advantae of areate tables and
puttin them to ood use becomes
more difficult as the number of areate tables increases# 2he
areate naviation capability of the
-
8/12/2019 SA_FAQ's(130)
15/49
Siebel Analytics Server" however" allows *ueries to use the
information stored in areate tables
automatically" without *uery authors or *uery tools havin to
specify areate tables in their *ueries#
2he Siebel Analytics Server allows you to concentrate on as9in
the riht business *uestion5 the server
decides which tables provide the fastest answers#
1or the Siebel Analytics Server to have enouh information to
naviate to areate tables" you need
to confiure certain metadata in the repository#
Specify the Areate .evels for 6ach Source
Create Dimension Sources for 6ach .evel of Areated 1act Data
Specify 1ramentation Content
Areate 2able 1raments
$ramentation is nothin but dividin the data into small
dimensions based on some conditions for
increasin the performance of Siebel analytics server for
eneratin the reports in a faster way and with in
less amount of time#
Initialiation 'loc=s ():
Are used to initiali$e session variables and Dynamic repository
variables#
Specify S. to be run to populate one or more variables by
accessin data Sources#
Are invo9ed at Siebel Analytics server startup and periodically
return to refresh values for
dynamic variables accordin to an established schedule Gariables:
if u want to use a value that is
returned by the select statement in the repository level or ui
level we ma9e use of two types of variables
eep on 'Persist( from the time Siebel Analytics Server is
started until it is shutdown#
Gariables can be used instead of literals or constants in
e%pression builders in Admin 2ool#
Siebel Analytics Server wills substitute the value of the
repository variable for the variable itself in
the metadata#
types +f #epository ariables:
# Statics )epository Gariables
H# Dynamic )epository Gariables
1! Static #epository ariables
-
8/12/2019 SA_FAQ's(130)
16/49
Are )epository variables whose values are constant and do not
chane while Siebel analytics
server is runnin# Galues are initiali$ed in the variable dialo
bo%
! Dynamic #epository ariables:
2hese are the variables whose values chanes accordin to refresh
schedule values are
initiali$ed and refreshed usin an initiali$ation bo%#
2hey r the repository variables and the session variables
2he repository variables r classified into static and
dynamic
Static variables r used instead of literals or constants if a
value is constant for a particular report
for abt years then we ma9e use of static repository variables if
u want to chane the value dynamically we
use dynamic repository variables#
session variablesr classified as system session variablesand no
system session variables
System session variables
Predefined session variables that are used by Siebel Analytics
Server for Specific Purpose# @ave
reserved names" which cannot be used for other 9ind of
variables#
29:&S6) hold value of user entered for loon name#
%on System Session variable:
Application Specific variable that are created by implementation
team#
29:Capture users )eion and limit records the user sees to only
those for the )eion
: Star and Sno" fla=e Schema
Star Schema consists of one or more fact table and one or more
dimension table that are related
to forein 9eys# Dimension tables are De-normali$ed" fact
table-normali$ed advantaes: .ess databasespace# Snowfla9e schema is
a set of tables comprised of a sinle" central fact table surrounded
by
normali$ed dimension hierarchies# 6ach dimension level is
represented in a table# Snowfla9e schema
implements dimensional data structures with fully normali$ed
dimensions# Star schemas are an
alternative to snowfla9e schema
-
8/12/2019 SA_FAQ's(130)
17/49
Snow fla9e schema is a normali$e dimensions to eliminate the
redundancy# 2he dimension data
has been rouped into one lare table# Both dimension and fact
tables normali$ed# Snowfla9e model is
the result of decomposin one or more of the dimensions" which
sometimes have hierarchies themselves#
We can define the many-to-one relationships amon members within
a dimension table as a separate
dimension table" formin a hierarchy
,: S#-W .ables ($act tables* Dim .ables* mini Dim .ables* Subset
dim .ables*
2he table in the dataware house r classified into two types they
r the dimension tables and the
other is fact tables dimension tables contain vital information
used for analy$in the business and
dimension tablecontains more no of columns less no of records
most often the dimension tables
contains descriptive data and dimension table contain
information that *ualify facts#
Fact tablescontain measures used for measurin the business the
fact table contains less no of
columns and more no of rows and the fact table contain fact
information at the lowest level of ranularity
2he subset dimension tables r a part of dimension tables that r
created usin the select statement
and the where clause#
3: Circular 8oin* $act less $act
Circular joinis nothin but a closed loop with 7oin conditions if
we consider this in the repository the
Siebel analytics server will not enerate the correct physical
*uery leadin to incorrect results so in order
to avoid this we r brea9in the loop by creatin a new table with
alias name for the same table and
performin the 7oin operation between the tables
A fact less fact tableis nothin but a table without any facts
that means it has only descriptive data no
numeric data#
5: ie"s (%arrative* Static* ie" Selector* Compound layout*
charts and other ie"s)
Compound ayout: &se the compound layout view to assemble
different views for display on a
dashboard#
.itle:&se the title view to add a title" a subtitle" a loo"
a lin9 to a custom online help pae" and
timestamps to the results#
.able:&se the table view to show results in a standard
table# &sers can naviate and drill down in the
results
Chart:&se the chart view to dra and drop columns to a layout
chart# ou can customi$e the title" leend
location" a%is titles" and data labels# ou can customi$e the
si$e and scale of the chart" and control colors
-
8/12/2019 SA_FAQ's(130)
18/49
usin a style sheet# /racle BI Answers supports a variety of
standard chart types" includin bar charts"
column charts" line charts" area charts" pie charts" and scatter
charts# Custom chart subtypes include two-
and-three-dimensional" absolute" clustered" stac9ed"
combination" and custom
0ivot table:&se the pivot table view to ta9e row" column"
and section headins and swap them around to
obtain different perspectives# ou can dra and drop headins to
pivot results" preview them" and apply
the settins
6aue:&se the aue view to show results as aues" such as dial"
bar" and bulb-style aues#
$ilters:&se the filters view to show the filters in effect
for a re*uest# 1ilters allow you to constrain a
re*uest to obtain results that answer a particular *uestion#
Column Selector:&se the column selector view to permit users
to dynamically chane which columns
appear in results# 2his allows users to analy$e data alon
several dimensions# By chanin the facts"
users can dynamically alter the content of the results#
ie" Selector:&se the Giew Selector view to select a specific
view of the results from amon the saved
views
eend:&se the .eend view to document the meanin of special
formattin used in results" such as the
meanin of custom colors applied to aues
$unnel Chart:&se the funnel chart view to show a
three-dimensional chart that represents taret and
actual values usin volume" level" and color# It is useful for
depictin taret values that decline over time"
such as a sales pipeline#
%arrative:&se the narrative view to show the results as one
or more pararaphs of te%t# ou can type in
a sentence with placeholders for each column in the results" and
specify how rows should be separated
.ic=er:&se the tic9er view to show the results of the
re*uest as a tic9er or mar*uee" similar in style to the
stoc9 tic9ers that run across many financial and news sites on
the Internet
Static .e9t:&se the static te%t view to include static te%t
in the results# ou can use @2+. to add
banners" tic9ers" Active8 ob7ects" !ava applets" lin9s"
instructions" descriptions" raphics" and so on" in
the results#
%o #esults:the 0o results view allows you to specify e%planatory
te%t to appear if the re*uest does not
return any results#
-
8/12/2019 SA_FAQ's(130)
19/49
oical S:&se the loical S. view to show the S. enerated for
the re*uest
Create Sement:2he create sement view is for users of the
/racle>s Siebel +ar9etin Gersion # 'or
hiher( operational application# &se it to display a Create
Sement lin9 in the results# &sers can clic9 this
lin9 to create a sement in their /racle Siebel +ar9etin
operational application" based on the results
data
Create .aret ist:2he create taret list view is for users of
/racle>s Siebel .ife Sciences operational
application interated with /racle>s Siebel .ife Sciences
Analytics applications# &se it to create a Create
2aret .ist lin9 in the results
7: Difference bet"een .able and 0ivot .able ie"E
Table viewis used to show the result in a standard table
format#&sers can naviate and drill
down in the results#
Pivot tableis used to interchane rows into columns and vice
versa# In pivot we can display
result in section and pae wise# We can e%cluded whenever we
don4t want to display a column in report
: Aliases in Siebel Analytics 0hysical ayer
When there is case of havin two 7oin conditions between the
dimension and fact tables we ma9e
use of alias and in order to avoid the circular loop we brea9
the loop by usin the alias#
;: Creation of #eports* 0rompts and filters
Creation of reports when we ever we want to show output we will
send it in the form of reports in Siebel
analytics# &sin answers we can create reports usin sub7ect
area# We can save those reports in catalo
with e%tension usin #webcat
0rompts:Aprompt is a dynamic filter# Before e%ecutin the report
we can pass values to the reports# We
can use prompts dynamically# 2he end user can chane the values
dynamically#
Prompts are cateori$ed into H types# 2hey are
! "e#ort level #rom#t: we can provide dynamic filters for a
particular report
H# $as% board #rom#t: we can provide dynamic filters for roup of
reports# Dash board prompt is divided
into H types#
&! Pa'e level if all reports are published in a sinle pae"
then we can use pae level prompt
-
8/12/2019 SA_FAQ's(130)
20/49
(! $as% board levelif all reports are published in different
paes in dash board then we can use dash
board level
Filters filter is nothin but a condition# Whenever we want to
use any condition in answers we will use
flters#filters use static values
>: +nline and +ffline mode in #epository
+penin a #epository in +ffline -ode:
o &se offline mode to view and modify a repository while it
is not loaded into the Siebel Analytics
Server#
o If you attempt to open a repository in offline mode while it
is loaded into the Analytics server" the
repository opens in read-only mode#
o /nly one Administration 2ool session at a time can edit a
repository in offline mode#
+penin a #epository in +nline -ode:
o &se online mode to view and modify a repository while it
is loaded into the Siebel Analytics
Server#
o 2here are certain thins you can do in online mode that you
cannot do in offline mode#
In online mode* you can:
+anae scheduled 7obs
+anae user sessions
+anae the *uery cache
+anae clustered servers
Stop the Siebel Analytics Server
,@: ie" and synonym "here to use "hich scenarios in the 0hysical
layer of the #0D
Physical table is an ob7ect in the Physical layer of the
Administration 2ool that corresponds to a
table in a physical database# Physical tables are usually
imported from a database or another data source
and they provide the metadata necessary for the Siebel Analytics
Server to access the tables with S.
re*uests#
In addition to importin physical tables" you can create virtual
physical tables in the Physical
layer" usin the /b7ect 2ype option in the Physical 2able dialo
bo%# A virtual physical table can be an
alias" a stored procedure" or a Select statement# Girtual
physical tables have several uses# 'ou can use
-
8/12/2019 SA_FAQ's(130)
21/49
them to create the e*uivalent of a database view5 that is" the
virtual table enerated by some *uery
e%pression# ou can use them to behave li9e a synonym5 that is" a
table identical to another table but with
a different name# (
,1: .riers in +racle
A piece of loic that is e%ecuted at or triered by a S. Jforms
event# A trier is a piece of loics that is
fired at a particular point of time#
1!0aviational 2riers#
!2ransaction 2riers#
$unction
-
8/12/2019 SA_FAQ's(130)
22/49
$ull load: Initially" a full load is performed to e%tract all
re*uired data and load all tables in the Siebel)elationship
+anaement Warehouse 'S)+W(#
L 2he pre-load chane data capture steps 'DAC tas9 MChane Capture
1or Siebel /.2P4( for a full load
Incremental oad: /nce a full load is successfully run"
subse*uent loads to the S)+W are ;incremental= loads" meanin
that only data that has chaned in the source since the last run
is loaded to the S)+W# Durin an
incremental load" the 62. processes e%tracts this chaned data by
usin the views on the /.2P that 7oin
the base SN tables with their correspondin ;I= imae tables#
L ;Prune Days= refers to ;how far bac9 in time= the customer
wants to o in order to e%tract the chaned
data# 2he settin ensures that the /.2P rows that have a lastNupd
date older than the start dateOtime of
the prior load 'A##A# lastNrefreshNdate( are not missed# It is
determined by customer and setup in the
DAC client#
,: D' 6ro"th and sie of the Database after 2.
Depends on the data that is populated
,;: -appin of ne" areate .able in the 'usiness ayer
2o map e%istin loical columns to areate columns and set areation
content we have to
map loical columns to new sources by drain columns from the
physical layer correspondin columns
in the business model and mappin layer and in the content tab we
have to set the detail level for the
areation table below this the server hits the fact table and
above the server hits the Areation table#
,>: ?o" to have a ne" column in Siebel ans"ers if the column
is not available in -etadata
We can create a new column by modifyin the e%istin column and
the necessary calculations
can b implemented in the edit formula bar#
3@: DAC and 2.
$AC and )nformatica Server
o Data warehouse Application Console 'DAC(
o &sed to schedule " monitor" confiure" and customi$e S)+W
e%traction" transformation" and load
o Accesses metadata about 62. mappins and dependencies in the
DAC repository
o DAC Server
o /rani$es 62. re*uests for processin
-
8/12/2019 SA_FAQ's(130)
23/49
o 2hird party Informatica Server populates the S)+W from the
Siebel eBusiness Application
Database 'Siebel /.2P(
o &ses e%tract "transform" and load '62.( routines
)nformatica Server ET*
o &ses source dependent 6%traction 'SD6( routines to e%tract
data
o .oads data into stain tables within the S)+W
o &ses source independent loadin 'SI.( routines to transform
data into stars within the S)+W
31: function of Connection 0ool in the physical layer
Connection 0ools:
2he connection pool is an ob7ect in the Physical layer that
describes access to the data source#
It contains information about the connection between the Siebel
Analytics Server and that data
source# 2he Physical layer in the Administration 2ool contains
at least one connection pool for each
database#
Connection pools allow multiple concurrent data source re*uests
'*ueries( to share a sinle
database connection" reducin the overhead of connectin to a
database
After this limit is reached" the Analytics Server routes all
other connection re*uests to another
connection pool or" if no other connection pools e%ist" the
connection re*uest waits until a connection
becomes available#
3: Different user authentication methods available in Siebel
Analytics
2he different user authentication methods available in the
Siebel analytics r
o 0S type of authentication
o Bypass type 0S type of authentication
o Database type of authentication
2hrouh .DAP servers we can import the users form other oltp
sources and also the lowest
restrictin permissions or overridden by the hihest restrictin
permissions
In database type of authentication the when u loin in to the ui
application the Siebel analytics will
try to connect to the database by usin this username and
password and loin into the ui application
In 0S type of authentication the users r created in the
repository itself and in the Bypass 0S
type of authentication throuh 6%ternal table authentication we r
loin into the &I Application in the
e%ternal table we r maintainin the username and passwd this
e%ternal table is available in the database#
-
8/12/2019 SA_FAQ's(130)
24/49
3,: SA column selector "hats it it and ho" it can be used
If u wants to chane the column names dynamically we ma9e use
column selector view multiple
columns can b attached to a sinle column#
33: Servers installed after r Installation of Siebel
Analytics
Siebel analytics web server" Siebel analytics server" Siebel
analytics scheduler server"
35: Action in=s in Siebel application
A Conditional* DataGDriven Action in=
CAS6 Column A
W@60 < 2@60 >Action .in9 >
W@60 < H 2@60 >Action .in9 H>6.S6 >Action .in9
F>
60D
With a standard action lin9" normally F elements are provided in
the custom data format: Giew"
Applet and )ow Id# In this case" you will provide all F elements
as one strin from column B and amend
the data format slihtly#
2he strin will need to be correctly >escaped> for both
Analytics to reconi$e it as a strin" but also
for it to resolve correctly usin the !avaScript function
0SW60av" referenced when creatin action
lin9s#
- Char'FK( : S. escape character for sinle *uotes
- : double pipes used by analytics here to concatenate
strins
- " : commas separate the F aruments normally used in action
lin9s
Char'FK(>/rder 6ntry - .ine Items Giew
'Sales(>Char'FK(>">Char'FK(>/rder 6ntry - /rder
1orm Applet>Char'FK(>">Char'FK(/rder#Q)ow IdQ
Char'FK(
0otice you>re addin H sinle *uotes each time" the st one will
be removed by the analytics
server leavin the second one when usin the !avaScript function#
Add this strin after the >2@60> portion
of your CAS6 statement# 1or each different condition in the CAS6
statement add the action lin9
functionality usin this synta% replacin the view" applet and row
id aruments each time#
37: Siebel delivers Automatic population of Devices and profiles
for users
http://www.linkedin.com/in/justintownsendhttp://www.linkedin.com/in/justintownsend
-
8/12/2019 SA_FAQ's(130)
25/49
/racle Business Intellience Delivers 'Delivers( is the interface
used to create alerts based on
/racle Business Intellience Answers 'Answers( results# Answers
are an e%tremely powerful" ad hoc data
*uery tool that enables you to perform multidimensional analysis
in a pure Web architecture# ou can use
Delivers to detect specific results and notify the appropriate
person or roup throuh Web" wireless"
mobile" and other voice communication channels#
Delivers wor9s in tandem with /racle Business Intellience
Scheduler 'Scheduler(# IBots deliver
reports and alerts to end users# IBots are confiured and
submitted for e%ecution usin Delivers#
Scheduler is an e%tensible application and server that manaes
and schedules 7obs# /racle BI Scheduler
supports two 9inds of 7obs:
Scripted 8obs: Scripted 7obs are set up and submitted" usin the
!ob +anaer feature of the /racle
Business Intellience Server Administration 2ool# 1or e%ample" a
scripted 7ob can periodically load /racle
BI Server usae statistics into a bac9-end database# 1or scripted
7obs" /racle BI Scheduler
communicates with /racle BI Server#
nscripted 8obs&nscripted 7obs are called i+ots# iBots
deliver reports and alerts to end users# iBots
are confiured and submitted for e%ecution" usin /racle Business
Intellience Delivers# /racle BI
Scheduler communicates with /racle Business Intellience
Presentation Services for unscripted 7obs and
must be installed and confiured to deliver iBots#
3: Security evels in Siebel Analytics
# 2he two levels of security available in Siebel analytics are
the Data level security which is
implemented in the bmm layer and ob7ect level security which is
implemented in the presentation layer i#e
restrictin a particular column for a particular user providin
access to a particular dashboard# 2he
security can also done in the ui level by the manae catalo
option#
H# Within Siebel Analytics there are two basic types of
security" Data .evel and /b7ect .evel#
Data level is about controllin the data i#e# the facts that a
user can see" typically this is because
manaers don>t want fisticuffs in the office5 so preventin
everyone from seein how much commission
the sales team et is enerally a ood idea# Also" you may be
familiar with 2+I" 2oo +uch Information" if
li9e me you>re a nosey par9er than everyone else>s data is
far more interestin than your own and youcan>t resist havin a
loo9 should the opportunity present its self# ,ivin all your staff
this opportunity can
have a dramatic effect on productivity#
3;: +A0 and +.0
/.AP stands for /nline Analytical Processin# It uses database
tables 'fact and dimension
tables( to enable multidimensional viewin" analysis and *ueryin
of lare amounts of data# 6## /.AP
-
8/12/2019 SA_FAQ's(130)
26/49
technoloy could provide manaement with fast answers to comple%
*ueries on their operational data or
enable them to analy$e their company>s historical data for
trends and patterns#
/.2P stands for /nline 2ransaction Processin# /.2P uses
normali$ed tables to *uic9ly record
lare amounts of transactions while ma9in sure that these updates
of data occur in as few places as
possible# Conse*uently /.2P database are desined for recordin
the daily operations and transactions
of a business# 6## a timecard system that supports a lare
production environment must record
successfully a lare number of updates durin critical periods
li9e lunch hour" brea9s" startup and close of
wor9
3>: star and sno" fla=e schema! Where sno" fla=s can be used
and "hich uses "hat schema(+A0 and +.0)
Snowfla9e schema is used when the datawraehouse is most of the
time used as a source for one
more rather hih end datawarehouse than for direct analysis the
ma7or difference between star and
snowfla9e is star schema is hihly denormali$ed where as
snowfla9e schema is partially normali$ed#
5@: Imae 0rompt and column 0rompt in Siebel ans"ers
Criteria 0rompt
o Criteria prompt uides users in ma9in selections for individual
re*uests#
o 2here are two 9inds of criteria prompts"
o Column 1ilter prompts
o Imae prompts
Addin a Column 0rompt
o A column filter prompt allows users to select values to filter
a column in a re*uest#
o Siebel Answers Criteria tab Prompts tab Create Prompt Column
1ilter Prompt or Imae
Prompt
o Select the Column 1ilter Prompt
o Addin a Column Prompt continued
o 2he Column 1ilter Prompt Properties dialo bo% appears#
Addin a Imae 0rompt
o An imae prompt provides an imae that users clic9 to select
their re*uest criteria# 1or e%ample"
from an imae that shows products" users can clic9 a product#
o Imae prompts appear on the Prompts tab in Siebel Answers#
Addin an Imae 0rompt continued
-
8/12/2019 SA_FAQ's(130)
27/49
o In Siebel Answers" display a re*uest to which you want to add
an imae prompt" and then clic9
the Prompts tab#
o 1rom the Create 1ilter drop-down list" select Imae Prompt
51: ?o" a loical re/uest "or=s in Siebel Analytics
Sample #e/uest 0rocessin
&ser views a dashboard or submits an Answers re*uest
2he Siebel Analytics Web Server ma9es a re*uest to the Siebel
Analytics to retrieve the re*uested
data
2he Siebel Analytics Server usin the #rpd file" optimi$es
functions to re*uest the data from the data
sources
2he Siebel Analytics Server receives the data from the data
sources and processes as necessary
2he Siebel Analytics Server passes the data to the Siebel
Analytics Web Server
2he Siebel Analytics Web Server formats the data and sends it to
client
5: Siebel analytics clusterin ho" fail over reconies the other
server
Clusterin Siebel Analytics Servers
Cluster Server $eature
Allows up to R Siebel Analytics Servers in a networ9 domain to
act as a sinle server
Server in cluster share re*uests from multiple Siebel Analytics
clients" includin Siebel Analytics
Answers and Siebel Analytics Delivers
Cluster Controller is primary Component of the cluster Server
feature
+onitors status of resources in a cluster and performs session
assinment as resources chane
Supports detection of server failures and failover for /DBC
clients of failed servers
5,: properties of connection pool* multiple connection pools to
the same Database
es there can b multiple connection pools for the same
database#
53: %arrative ie" and Styles applied to charts and different
vie" available in analytics
About ie"s
Giews use the presentation capabilities of Siebel Analytics Web
to help you loo9 at results in
meaninful" intuitive ways#
-
8/12/2019 SA_FAQ's(130)
28/49
When you run a new re*uest" Siebel Analytics initially displays
results in a table" with a title
precedin the table#
Giews are available for selection on the )esults tab in Siebel
Answers#
ie"s Continued
2he followin are the views available in Siebel Analytics
Compound ayout
.itle
.able
Chart
0ivot .able
$ilters
Column Selector
$unnel chart
%arrative
.ic=er
Static .e9t
%o #esults
oical S
Create Sement
Create .aret ist
Compound ayout ie"s
We use the compound layout view to assemble different views for
display on a dashboard#
/n the Criteria tab" you can clic9 the followin button to access
the compound layout view#
0erformin Common .as=s
Savin a Siebel Analytics Giew
We can save the view with which you are wor9in at any time#
Choose a personal or shared folder in which to save the
view#
Clic9 /#
-
8/12/2019 SA_FAQ's(130)
29/49
0rintin a Siebel Analytics ie"
Clic9 the followin button near the top of the wor9space#
Choose @2+. or PD1#
1or @2+." a new window shows the selected item#
Choose 1ile Print on the browser menu#
1or PD1" an Adobe PD1 window shows the selected item#
&se the options available in the Adobe PD1 window to save or
print the file#
-a=in a Copy of a Siebel Analytics ie"
We can duplicate a view to create a copy of it# Duplicatin a
view is useful when you want to
ma9e chanes to it while preservin the oriinal view" or when you
want create a new view based on an
e%istin view#
2he duplicated view name has the numeral H appended to it# ou
can chane the name when
you save the view#
.o previe" a Siebel Analytics vie" as it "ill appear on a
dashboard#
Clic9 the followin button to near the top of the wor9space
Clic9 the Display )esults lin9 to view the results#
Deletin a Siebel Analytics vie"
Clic9 the followin button near the top of the wor9space
Choose Delete Giew from the list#
Creatin a %e" #e/uest
ou can create a new re*uest while you are wor9in with a view for
the current re*uest#
Clic9 the followin button near the top of the wor9space#
Clic9 a sub7ect area in the list to select it#
2he wor9space displays the Criteria tab" where you can create
the new re*uest#
+pen a saved Siebel Analytics re/uest
Clic9 the followin button near the top of the wor9space#
-
8/12/2019 SA_FAQ's(130)
30/49
In the /pen dialo bo%" naviate to the re*uest and clic9 /#
2he wor9space displays the Criteria tab" where you can modify
the new re*uest#
Assemblin vie"s for display on Dashboard
2his section provides the procedure to access the compound
layout view and use it to assemble
different views for display on a dashboard#
In Siebel Answers" create or modify the re*uest with which you
want to wor9#
Addin" Deletin" and )earranin Siebel Analytics )esult Giews in
Siebel Answers
2o add a new Siebel Analytics view
Select a view from the list#
2o delete a Siebel Analytics view
2o rearrane a Siebel Analytics view
6ditin the Properties of a Siebel Analytics Giew
Addin .itles
We use the title view to add a title" a subtitle" a loo" a lin9
to a custom online help pae" and
timestamps to the results#
A title view is always added to the results" as the first
view#
Siebel Answers )esults 2ab Compound .ayout Add Giew 2itle
2o edit an e%istin title view" clic9 the )esults tab" choose
Compound .ayout from the views
drop-down list" and then clic9 the 6dit Giew button for the
title view#
Addin .ables
&se the table view to show results in a standard table#
&sers can naviate and drill down in the
results# ou can add a rand total and column totals specify
custom table and column headins" and
chane the formula or areation rule for a column#
Siebel Answers )esults 2ab Compound .ayout Add Giew 2able
2o edit an e%istin table view" clic9 the )esults tab" choose
Compound .ayout from the views
drop-down list" and then clic9 the 6dit Giew button for the
table view#
2he wor9space shows the options and settins for the view#
2o view the buttons for wor9in with each column individually"
select the option to show headertoolbars#
2o add custom headins or edit the formula for a column" clic9
the 6dit 1ormula button#
-
8/12/2019 SA_FAQ's(130)
31/49
Sho"in Charts
We use the chart view to position columns on a chart" and to
customi$e the title" leend location"
a%is titles" data labels" si$e" and scale# We can select the
chart raph" such as a line chart or a bar chart5
the chart subtype" such as two-dimensional5 and the style for
columns" such as the shape and fill pattern#
ou can also set borders and colors" and control other chart
characteristics#
Chart raph choices include area charts" bar charts" bubble
charts" line charts" and other types#
Chart subtypes include HD" FD" absolute" clustered" stac9ed"
combination" and custom
2he buttons at the top of the chart view pae provide access to
various chart settins or ,eneral
Chart Properties#
0ivot .ables
2he pivot table view is an interactive view that allows you to
rotate the rows" columns" and section
headins to obtain different perspectives of the data# Pivot
tables are naviable and drillable" and are
especially useful for trend reports#
2o add a new pivot table view" clic9 the )esults tab and choose
Pivot 2able from the views drop-
down list#
Dra and drop the re*uest columns" which appear as elements in
the pivot table" to the desired
positions in the pivot table template#
Sho"in filters applied to results
We use the filters view to show the filters in effect for a
re*uest#
2o add a new filters view" clic9 the )esults tab and choose
1ilters from the views drop-down list#
Column Selector ie"
We use the column selector view to allow users to dynamically
chane which columns appear in
a re*uest# /ne column selector can be attached to each column in
a specific re*uest" and multiple
columns 'attributes( can be attached to each column
selector#
2he wor9space shows the options and settins for the view#
Select the Include Selector option for each column that you want
a column selector to appear#
Sho"in results in a $unnel Charts
We use the 1unnel Chart view to show results as a
three-dimensional chart that represents taret
and actual values and levels by color# 2ypically" funnel charts
are used to raphically represent data that
-
8/12/2019 SA_FAQ's(130)
32/49
chanes over different periods or staes# 1or e%ample" funnel
charts are often used to represent the
volume of sales over a *uarter#
1unnel charts are well suited for showin actual compared to
tarets for data where the taret is
9nown to decrease 'or increase( sinificantly per stae" such as a
sales pipeline#
2o add a new funnel chart view" clic9 the )esults tab and choose
/ther Giews 1unnel Chart
from the views drop-down list#
2o edit an e%istin funnel chart view" clic9 the )esults tab"
choose Compound .ayout from the
views drop-down list" and then clic9 the 6dit Giew button for
the funnel chart view#
+a9e your selections for the fields in the wor9space#
Addin %arrative .e9t
We use the narrative view to add one or more pararaphs of te%t
to appear with the results#
0arrative te%t is useful for providin information such as
conte%t" e%planatory te%t" or e%tended
descriptions#
2o add a new narrative view" clic9 the )esults tab and choose
/ther Giews 0arrative from the
views drop-down list#
2o edit a narrative view" clic9 the )esults tab" choose Compound
.ayout from the views drop-
down list" and then clic9 the 6dit Giew button for the narrative
view#
ou can type a sentence with placeholders for each column in the
results and specify how rows
should be separated#
.ic=er ie"
A tic9er displays the results of a re*uest as a mar*uee 'movin
results that scroll across thepae(#
ou can customi$e the si$e of the scroll area" the speed and
direction in which the results scroll"
and other display settins#
2o add a new tic9er view" clic9 the )esults tab and choose /ther
Giews 2ic9er from the views
drop-down list#
2o edit an e%istin tic9er view" clic9 the )esults tab" choose
Compound .ayout from the views
drop-down list" and then clic9 the 6dit Giew button for the
tic9er view#
2he wor9space shows the options and settins for the view#
Static .e9t ie"
-
8/12/2019 SA_FAQ's(130)
33/49
We use the static te%t view to add or edit mar9up te%t to appear
with the results#
We can add mar9up te%t that contains formatted te%t" Active8
controls or !avaScript4s" sound
bites" animation" speciali$ed loos" and so on#
2he mar9up te%t may contain anythin that is supported by your
browser#
2o add a new static te%t view" clic9 the )esults tab and choose
/ther Giews Static 2e%t from
the views drop-down list#
2o edit an e%istin static te%t view" clic9 the )esults tab"
choose Compound .ayout from the
views drop-down list" and then clic9 the 6dit Giew button for
the static te%t view#
2he wor9space shows the static te%t view#
%o #esults ie"
We use the no results view to specify e%planatory te%t to appear
if the re*uest does not returnany results#
2he te%t can help users understand that there was no data#
2o add a new no results view" clic9 the )esults tab and choose
/ther Giews 0o )esults from
the views drop-down list#
2o edit an e%istin no results view" clic9 the )esults tab"
choose Compound .ayout from the
views drop-down list" and then clic9 the 6dit Giew button for
the no results view#
2he wor9space shows the no results view#
2ype e%planatory te%t into the @eadline and 2e%t bo%es#
oical S ie"
We use the loical S. view to show the S. enerated for the
re*uest#
2his view is useful for trainers and administrators" and is
usually not included in results for typicalusers#
2o add a new loical S. view" clic9 the )esults tab and choose
/ther Giews .oical S. from
the views drop-down list#
2o edit an e%istin loical S. view" clic9 the )esults tab" choose
Compound .ayout from theviews drop-down list" and then clic9 the
6dit Giew button for the loical S. view#
2he wor9space shows the loical S. view#
Sement ie"
We use the create sement view to display a Create Sement lin9 in
the results#
-
8/12/2019 SA_FAQ's(130)
34/49
&sers can clic9 this lin9 to create a sement in their Siebel
+ar9etin operational application"
based on the results data#
2he create sement view is for users of the Siebel +ar9etin
operational application" interated
with Siebel Analytics#
.aret ist vie"
2he create taret list view is for users of Siebel Industry
Applications" interated with SiebelAnalytics#
It allows automatic interation of lists of contacts and accounts
into these Siebel operational
applications" both networ9-based and disconnected" based on the
results of a Siebel Analytics re*uest#
1or e%ample" users of Siebel Pharma Sales can create a taret
list in the operational application
and use it in their Siebel Pharma 1ield Analytics disconnected
application#
When you add a create taret list view" a lin9 named Create 2aret
.ist appears in a Siebel
Analytics report that appears on a user4s Analytics
dashboard#
2he user can clic9 this lin9 to populate or refresh a list of
contacts or accounts in the Siebel
operation application#
55: Disconnected "ho uses it and steps in confiurin disconnected
application
Siebel Disconnected Analytics offers the ability to use Siebel
Analytics dashboards while
disconnected from the corporate networ9# A Disconnected
Analytics application is a pac9ae of Siebel
Analytics dashboards with supportin data and metadata#
Disconnected Analytics applications are usually orani$ed
accordin to business areas#
$or 29ample*
our Siebel Analytics administrator miht ma9e one application
coverin sales and another
coverin mar9etin campains# ou can 9eep more than one
Disconnected Analytics application on your
.aptop" althouh only one application can be active and runnin at
one time#
&sin the Disconnected Analytics Application +anaer" you can
update and administer the
Disconnected Analytics applications on your laptop#
Components of Disconnected Analytics Applications
A Disconnected Analytics application is a local version of the
Siebel Analytics platform runnin on
your laptop# It includes the followin components:
A personalied version of Siebel Analytics dashboards
ou can access your personal Siebel Intellience Dashboards as you
would if you were loed
on to the Siebel Analytics Web# 2he dashboards may include your
own versions of the enterprise level
dashboards" with any special data filters you may add#
-
8/12/2019 SA_FAQ's(130)
35/49
0ersonalied and secure data from the Siebel Analytics enterprise
database
ou can download data from the networ9 to your laptop and save
reports you have created
separately from roup data and reports#
Disconnected Analytics Application -anaer
2his utility allows you to use and manae Disconnected Analytics
applications on your laptop
while disconnected from the networ9# It also allows you to
synchroni$e the data for Disconnected
Analytics applications with data on the networ9# /nce installed"
you can access the Disconnected
Analytics Application +anaer from the Windows Start menu#
2hese components are included in the installation file sent to
you by your Siebel Analytics
administrator#
In technical terms* "hat the installation file sets up are:
H .he local (that is* the laptop) repository
Contains metadata about the data tables available in the local
application# 0ote that this
repository is not a subset of the server repository5 it is
created independently# A Disconnected Analyticsapplication has only
one repository#
H the local Web Catalo
Contains metadata about the reports available in the local
application# 2his Web Catalo is not a
subset of the server Web Catalo5 it is created independently# A
Disconnected Analytics application has
only one Web Catalo#
.o install the Siebel Analytics Disconnected Client
&Access the installation files" and run the proram
Setup#e%e#
( 2he installation wi$ard window appears and prompts you throuh
each screen" as shown in 2able HK#
2o continue to the ne%t screen" clic9 0e%t# If you need to
return to a previous screen" clic9 Bac9# 2able HK#
Siebel Analytics Installation Wi$ard Screens for Disconnected
Client /nlyScreen ,our Action
Welcome Clic9 0e%t#
.icense Areement Select# I accept#### and clic9 0e%t#
.icense 1ile 2he .icense file is an 8+. file correspondin to the
installation type you are licensed for#
2his file is emailed to you" or installed on your corporate
server#
Select the appropriate 8+. file in the .icense 1ile screen 'for
e%ample" @ori$ontalDisc#%ml(# Clic9 0e%t#
Installation Directories 2o chane the default installation drive
'recommended(" clic9 browse and establish
the installation path" then clic9 0e%t#
CA.I+%:Do not install the Disconnected Client on the same
machine with Siebel Analytics# Install them
on two separate machines#
Setup 2ype Choose the option Disconnected Client# Clic9
0e%t#
Selection 6rror
+essae .anuae
-
8/12/2019 SA_FAQ's(130)
36/49
2he error messaes from the Siebel Analytics Server are in one
lanuae only# 2ypically" these are bac9-
end server side messaes only#
2he Siebel Analytics Administrator can choose which lanuae to
display these messaes in# 2he default
is 6nlish# Clic9 0e%t#
Wait Placeholder screen appearin while the installer accepts all
the choices you have made# Clic9 0e%t#
Summary Information
(0reinstallation)
A list of the Disconnected Client components and the directory
where they are to be installed# Confirm
that this information is correct# Clic9 0e%t#
Installin Placeholder screen that appears while the installer
installs all the features you have selected#
Clic9 ne%t when done#
"unnin' $isconnected Client in Silent ode
After you install Siebel Analytics Disconnected Client" you can
ma9e it run automatically in silent mode 'inthe bac9round(# In
order to run Disconnected Client in silent mode easily" you should
Create a new Start
menu shortcut" as shown in the followin procedure#
.o create a Start menu shortcut for Disconnected Client silent
mode
& )iht-clic9 Start and select 6%plore# Start +enu should be
hihlihted#
( In the riht pane" double-clic9 Prorams#
. In the riht pane" double-clic9 Siebel Analytics#
/ )iht-clic9 Siebel Disconnected Analytics and select Create
Shortcut#
0 )ename the new shortcut to Siebel Disconnected Analytics
Silent +ode#
1 )iht-clic9 Siebel Disconnected Analytics Silent +ode and
select Properties#
a In the Shortcut tab .aret field* at the end of the e9istin
path* add the follo"in:
Os Be sure to include the leadin space#
b Clic9 Apply and close the window#
2o start Disconnected Client in silent mode" naviate to Start
Prorams Siebel Analytics Siebel
Disconnected Analytics Silent +ode#
Summary Information
(post installation)
Ac9nowledement that the installation wi$ard has finished
installin Siebel Analytics# Clic9 0e%t#
)estart Computer Choose whether or not to immediately restart
your computer and clic9 1inish#
If you clic9 es ###" the computer shuts down and restarts#
If you clic9 0o###" you need to restart the computer before you
use Siebel Analytics#
Confiurin Siebel 0harma $ield
Analytics Client 2$+C $SN
-
8/12/2019 SA_FAQ's(130)
37/49
Siebel Pharma 1ield Analytics Client is the Disconnected
Analytics client for the Siebel Pharma
application# Whenever a Pharma 1ield Analytics user los on to
Disconnected Analytics" the user name
and password are authenticated usin S. Anywhere aainst a Siebel
transactional database table# In
order for Pharma 1ield Analytics to wor9 in an interated
environment" you must confiure SI6B6.N/.2P
'the /DBC Data Source 0ame or DS0( on the client machine# 2he
followin confiuration provides
connectivity between the Pharma 1ield Analytics application and
the mobile client Siebel transactional
database#
.o confiure the Siebel 0harma $ield Analytics client SI2'2+.0
DS%
& 0aviate to Start Prorams Administrative 2ools Data Sources
'/DBC(#Clic9 System DS0 tab#
( Clic9 Add button#
. Select Adaptive Server Anywhere T#E# Clic9 1inish#
/ In Data source name field" enter SI6B6.N/.2P#
%+.2 +a9e sure the user has appropriate Analytics
responsibilities chec9ed#
0 Clic9 Database tab" and then clic9 Browse#In the Database file
field" point to the local database on the client machine#
1 Clic9 / to e%it the Administrative 2ool#
57: ?o" to 'ypass the #epository Authentication
Another option is to bypass Siebel Analytics Server security and
rely on the security provided by
issuin user-specific database loons and passwords when the
Siebel Analytics Server submits *ueries
to databases# 2he databases can then determine whether the *uery
will be performed for the user#
2he Siebel Analytics Server issues *ueries to databases in one
of the followin ways:
By usin the user IDs and passwords confiured in connection pools
when the connection pool
property Shared .oin has been chec9ed#
With database-specific user IDs and passwords that are specific
to each user# Confiure the
database user IDs and passwords in the user>s profile in the
Siebel Analytics Server repository#
If you are usin database-specific loin information" connection
poolin needs to be set up
without the Shared .oin property" allowin it to accept
database-specific user IDs and
passwords#
1or more information on connection pools" see Settin up
Connection Pools#
'ypass Siebel Analytics Server security by settin the
authentication type in the %SConfi!I%Ifile: A&2@602ICA2I/0N2P6
< BPASSN0S5
-
8/12/2019 SA_FAQ's(130)
38/49
5: Correlated sub /uery* Derived .ables
Correlated subquery In S." a sub*uery in which processin the
inner *uery depends on data from
the outer *uery
$erived Tablesa derived table is a select *uery that is used in
place of a table# '/r( S.-data consists
entirely of table variables" called base tables# An operation
that references $ero or more base tables and
returns a table is called a *uery# 2he result of a *uery is
called a derived table.
5;: %ormaliation and five normal forms
%ormaliation: normali$ation is nothin but splittin the structure
of the table into H or more tables so that
redundancy is reduced and transactions in the form of inserts"
deletes can be easily implemented#
$irst %ormal $orm:An entity is in 1irst 0ormal 1orm '01( when
all tables are two-dimensional with no
repeatin roup#
A row is in first normal form '01( if all underlyin domains
contain atomic values only# 01
eliminates repeatin roups by puttin each into a separate table
and connectin them with a one-to-
many relationship# +a9e a separate table for each set of related
attributes and uni*uely identify each
record with a primary 9ey# 6liminate duplicative columns from
the same table# Create separate tables for each roup of related
data and identify each row with a uni*ue column
or set of columns 'the primary 9ey(#Second %ormal $orm:An entity
is in Second 0ormal 1orm 'H01( when it meets the re*uirement of
bein in 1irst 0ormal 1orm '01( and additionally: Does not have a
composite primary 9ey# +eanin that the primary 9ey cannot be
subdivided into
separate loical entities# All the non-9ey columns are
functionally dependent on the entire primary 9ey# A row is in
second normal form if" and only if" it is in first normal form and
every non-9ey attribute
is fully dependent on the 9ey# H01 eliminates functional
dependencies on a partial 9ey by puttin the fields in a separate
table
from those that are dependent on the whole 9ey# An e%ample is
resolvin many many
relationships usin an intersectin entity#
.hird %ormal $orm:An entity is in 2hird 0ormal 1orm 'F01( when
it meets the re*uirement of bein in
Second 0ormal 1orm 'H01( and additionally: 1unctional
dependencies on non-9ey fields are eliminated by puttin them in a
separate table# At
this level" all non-9ey fields are dependent on the primary
9ey#
-
8/12/2019 SA_FAQ's(130)
39/49
A row is in third normal form if and only if it is in second
normal form and if attributes that do not
contribute to a description of the primary 9ey are move into a
separate table# An e%ample is
creatin loo9-up tables#'oyceGCodd %ormal $orm:Boyce Codd 0ormal
1orm 'BC01( is a further refinement of F01# In his later
writins Codd refers to BC01 as F01# A row is in Boyce Codd
normal form if" and only if" every
determinant is a candidate 9ey# +ost entities in F01 are already
in BC01#
BC01 covers very specific situations where F01 misses
inter-dependencies between non-9ey 'but
candidate 9ey( attributes# 2ypically" any relation that is in
F01 is also in BC01# @owever" a F01 relation
won>t be in BC01 if 'a( there are multiple candidate 9eys"
'b( the 9eys are composed of multiple
attributes" and 'c( there are common attributes between the
9eys#
$ourth %ormal $orm:An entity is in 1ourth 0ormal 1orm 'U01( when
it meets the re*uirement of bein
in 2hird 0ormal 1orm 'F01( and additionally: @ave no multiple
sets of multi-valued dependencies# In other words" U01 states that
no entity can
have more than a sinle one-to-many relationship within an entity
if the one-to-many attributes
are independent of each other# +any: many relationships are
resolved independently#
$ifth %ormal $orm:An entity is in 1ifth 0ormal 1orm 'V01( if"
and only if" it is in U01 and every 7oin
dependency for the entity is a conse*uence of its candidate
9eys#
5>: What are the primary =ey* forein =ey* alternate =ey*
composite =ey and candidate =eyE
0rimary =ey: a primary 9ey is a column or a roup of columns that
can uni*uely identify any row in atable#
it must uni*uely identify each row in a table
it must contains uni*ue values
it cannot be a null field
It should contain a minimum number of fields necessary to be
called uni*ue#
It cannot be a multi-part field
Its value cannot be modified e%cept in very rare cases#
$orein =ey: A forein 9ey is a field 'or fields( that points to
the primary 9ey of another table# 2he
purpose of the forein 9ey is to ensure referential interity of
the data# In other words" only values that are
supposed to appear in the database are permitted
Alternate =ey:An alternate 9ey 'or secondary 9ey( is any
candidate 9ey which is not selected to be the
primary 9ey 'P(
-
8/12/2019 SA_FAQ's(130)
40/49
Composite =ey:A com#osite 3eyis a primary 9ey that consists of
more than one column# Also 9nown
as a concatenated 3eyor a''re'ate 3ey#
Candidate =ey: A candidate 9ey is a combination of attributes
that can be uni*uely used to identify a
database record without any e%traneous data# 6ach table may have
one or more candidate 9eys# /ne of
these candidate 9eys is selected as the table primary 9ey#
7@: -eta data (do "e actually have database or is data stored in
-eta data
+eta data is the bride between Dataware house and decision
support application it answers
*uestions as ;What does this field mean in business terms= which
bossiness4 process does this set of
*ueries support= and so onX
+eta data is data about data# +eta data will be used by those
who are oin to administer and
maintain the data warehouse as well as by those who are oin to
use the information stored in the data
warehouse# 2here are two 9inds of metadata that will come alon
with a data warehouse# 2hey aretechnical metadata and business
metadata# People who administer and maintain the data warehouse
will
use technical metadata and those who are oin to use the data
warehouse will use business metadata#
71: -eta data (do "e actually have database or is data stored in
meta data )
+etadata is the bride between the data warehouse and the
decision support system"
/r metadata is data about data that is the column name" data
type and width
/r metadata is data about data
/r metadata is user4s data and user4s table data
Actually we r dealin only with the structure of data when we
*ueryin the data the *uery hits the
database# 2he data is present in the database itself#
7: ?o" to Create the report and "hat are the standards follo"ed
to do the same
Accessin the Standalone Siebel Ans"ers
2o access stand-alone Siebel Analytics" you use a &)." a
user ID" and a password provided by
your orani$ation#
Select the lanuae in which you want to wor9 from the drop-down
list#
0erformin Common tas=s
29istin from Siebel Analytics
Giewin Descriptions of Siebel Analytics Dashboards and Saved
)e*uests
-
8/12/2019 SA_FAQ's(130)
41/49
Printin a Siebel Analytics Dashboard or Saved )e*uest
6mailin a Siebel Analytics Dashboard Pae or )e*uest
Downloadin Siebel Analytics )esults
29istin from Siebel Analytics
1rom any Siebel Analytics screen" clic9 the .o /ut lin9#
Do not close the browser window to e%it from Siebel
Analytics#
ie"in Descriptions of Siebel Analytics Dashboards
Descriptions are supplied when a dashboard or re*uest is saved
in the Web Catalo#
Pause the cursor over the title of the saved re*uest in the
selection pane in Siebel Answers#
Pause the cursor over the name of the dashboard in Siebel
Intellience Dashboards#
0rintin a Siebel Analytics Dashboard or Saved #e/uest
Siebel Analytics allows you to display printer-friendly versions
of e%istin dashboards andre*uests#
ou can print usin
@2+.
PD1
A new window shows the selected item without the e%traneous
lin9s#
2mailin a Siebel Analytics Dashboard 0ae or #e/uest
We can email a dashboard pae or a re*uest as a Web archive
'#mht( file#
Clic9 the Printer 1riendly lin9#
A new browser window opens that contains the dashboard pae or
the re*uest#
Select 2oolbar" choose 1ile Save As#
Save the file to the desired location" with a file type of Web
Archive" Sinle 1ile 'J#mht(#
Send the saved #mht attachment usin an email application#
Do"nloadin Siebel Analytics #esults
Siebel Analytics provides options for downloadin results#
Download to 6%cel
Download Data
Download Web Pae '+@2+.(
-
8/12/2019 SA_FAQ's(130)
42/49
7,! ?ierarchy of the Siebel Analytics Web components!
Delivers" answers" admin" loout" disconnected" dashboard" my
account" cataloue file withe%tension of #webcat
73: ?o" comfortable in Siebel tools to et the understandin of
the .ables and 4oins
By usin the 7oin manaer
75: Data -odelin $undamentals and Concepts Different .ypes of
Data modelin (0hysical &dimensional)
2he types of data modelinr conceptual loical" physical
modelin
2he datamodellin is completely a desin approach for desinin the
datawarehouse
In conceptual modelin a database architect need to understand
the re*uirements very clearly"
once the re*uirements are very clear he needs to identify the
lowest level rains" identify the entities and
attributes for each entity
In loical modelin once the entities Y attributes are identified
desin the dimension tables with
the lowest ranularity" desin the fact table with 9ey performance
indicators" and establish the relationship
between dimension table and fact table usin primary Y forein
9eys the desin of the database loo9s li9e
a star #In physical modelin once the loical schema is ready move
the structures to e%ist physically in the
database#
77: Advanced $ormattin in analytics (Conditional $ormattin of
#eports)
Based on a particular condition we r formatting the data of
report with custom colours and fontsetc..
Applyin Conditional $ormattin to Column Content in +racle 'I
Ans"ers
In tables and pivot tables" conditional formattin helps direct
attention to a data element if it meets
a certain condition# 1or e%ample" you can show below-*uota sales
fiures in a certain color" or display an
imae such as a trophy ne%t to the name of each salesperson who
e%ceeds *uota by a certain percent#
ou do this by selectin one or more columns in the re*uest to
use" specifyin the condition to
meet" and then ma9in selections for font" cell" border" and
style sheet options to apply when thecondition is met# 2he
conditional formats can include colors" fonts" imaes" and so on"
for the data and for
the table cell that contains the data# 2he steps to specify a
condition are very similar to those used to
create filters#
ou can add multiple conditions so that the data and the table
cell are displayed in one of several
formats" based upon the value of the data# 1or e%ample"
below-*uota sales can be displayed in one color"
and above-*uota sales can be displayed in another color#
-
8/12/2019 SA_FAQ's(130)
43/49
+ption sae %otes
Default Displays any imaes in the default position" which is
usually to the left of the column data or
headin#
Imaes .eft Displays any imaes to the left of the column data or
headin#
Imaes )iht Displays any imaes to the riht of the column data or
headin#
Imaes /nly Displays only the imae" and not the column data or
headin#
Several subtle conditional formattin differences e%ist between
traditional tables and pivot tables#
Conditional formats that format one column based on the value of
another column are not reflected in a
pivot table" but are reflected in a standard table# 1or e%ample"
settin the color of a reion name based on
the sales in that reion has no effect in a pivot table# @owever"
settin the color of the sales data based
on the value of the sales data is reflected in a pivot table" as
is settin the color of the reion name based
on the actual name5 for e%ample" displayin a value of 6astern
)eion in bold colored te%t#
N2TE In pivot tables" conditions are evaluated aainst the values
as calculated or areated by the
pivot table# Conditional formattin is applied based on the
underlyin value" even if you choose the ShowAs options to show the
data as percents or inde%es#
our selections apply only to the contents of the column for the
re*uest with which you are wor9in#
.o add conditional formattin to a column in a re/uest
& In /racle BI Answers" clic9 the Properties button for a
column to open the Column Properties dialo
bo%" and then clic9 the Conditional 1ormat tab#
( Clic9 the Add Condition button and select the desired column
in the re*uest for use in constructin the
condition#
2he CreateO6dit 1ilter dialo bo% opens#
N2TE When you access the CreateO6dit 1ilter dialo bo% from the
Conditional 1ormat tab" the dialo bo%
shows only the options that apply to conditional formats# 1or
e%ample" the /perator drop-down list shows
the subset of operators that are used in conditional formats"
and you can only apply presentation
variables#
1or information about usin the CreateO6dit 1ilter dialo bo%" see
;&sin Column 1ilters in an /racle BI
)e*uest= on pae U#
When you clic9 / at the CreateO6dit 1ilter dialo bo%" the 6dit
1ormat dialo bo% appears#
. +a9e your choices for font" cell" border" imae" and advanced
style formattin options# 1or more
information" see ;1ormattin Column Content In /racle BI Answers=
on pae #
N2TE If you specify an imae as part of the conditional
formattin" it appears conditionally in the results#
/ Clic9 / when you are done to return to the Column Properties
dialo bo%#
0 Clic9 / if you are done" or specify another condition to
include#
2he Column Properties dialo bo% shows the condition" and the
conditional formattin to apply# Columns
are evaluated in the order that they are listed#
1 2o reorder a column" clic9 the +ove &p or +ove Down
buttons#
-
8/12/2019 SA_FAQ's(130)
44/49
4 2o delete a column from the condition" clic9 the Delete
button#
5 2o edit a condition or a conditional format" clic9 it#
7: Interated* stand alone Analytics Difference!
Siebel Analytics Standalone
Provides a platform to model data so users can understand it
Provides server to enerate S. and seamlessly access and
manipulate data from multiple
sources
Provides a simple to use" hihly interactive" wed-based analysis
tool and ability to pre-construct
dynamic reports and alerts
Siebel Analytics Applications
Provides all that the standalone application does" plus:
Applications for common industry analytical processin such as
service analytics" Sales
Analytics" Pharma Analytics" and so on
Prebuilt role-based dashboards to support the needs of line
manaers to chief e%ecutive officers
A prebuilt database 'Siebel )elationship +anaement Warehouse(
desined for analytics
processin with prebuilt routines to e%tract" load" and transform
data from the Siebel eBusiness
application 'transactional( database
7;: ?o" to set up DA0 Security "ithin Siebel Analytics
#epository
DA0: .ihtweiht Directory Access Protocol '.DAP("
Instead of storin user IDs and passwords in a Siebel Analytics
Server repository" you can have
the Siebel Analytics Server pass the user ID and password
entered by the user to an .DAP server for
authentication# 2he server uses clear te%t passwords in .DAP
authentication# +a9e sure your .DAP
servers are set up to allow this#
7>: "hy is the Jnumber of elements at a levelJ re/uired for
dimensionE
It specifies the no of elements that e%ist at this level f this
level is the rand total level then leave the field
as blan9# 2he system will set a value by default# 2his no is
used by the Siebel analytics server when
pic9in areate sources" the no does not to have been e%act but
ratio of numbers from one level to
another should be accurate!
@: +'I22 briefin boo=s and 9ml publisher
-
8/12/2019 SA_FAQ's(130)
45/49
If your orani$ation licensed Siebel Analytics Briefin Boo9s" you
can store a static snapshot of
dashboard paes or individual re*uests in one or more briefin
boo9s# ou can then download and share
briefin boo9s for viewin offline# Briefin boo9s and their
content can also be updated" scheduled" and
delivered usin Siebel Delivers#
1: 2. ta=es more time to complete ho" to debu and "hat approach
to resolve the same
We can resolve by identifyin the tar'et bottle nec3s and the
source bottle nec3s and the
ma##in' bottle nec3s and the session bottle nec3s and the last
is the system bottle nec3s
: session lo* mappin* "or=flo"* confiuration settins of
Informatica
A mappin is a raphical representation of dataflow from source to
taret with s set oftransformation rules where business loic is
applied
Session lo is a file that is created by the Informatica server
which contains all the informationabout the e%traction
transformation and loadin#
A wor9flow is the process of submittin the session to the
Informatica server" 'what ever themappin we create a session is
creates for each mappin(
We have to confiure the Informatica server and the repository
server
