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www.icmamerica.com
hg
ule
ria@
icm
.de
Your assurance to success – partner with experience
Increase BW success by 70%
Hari Guleriaicm AMERICA
Best Practice
100%
www.icmamerica.com
hg
ule
ria@
icm
.de
Your assurance to success – partner with experience
Brief on icm
• 19 offices in Europe and US with over 500 employees• 100% senior SAP resources• BW TRACK RECORD
– Ranked # 5 globally for BW implementations– 21 BW Projects completed– 16 BW projects underway– FPS partner in 3.0x (have 3.0A since Oct 2001, 3.0B since June 2002)
– 2 icm employees on SAP AG BW Development board
•COMPANY TRACK RECORD
Area Projects CompletedUpgrades 100 Data Archiving 68 BW 21 RBE/CBI 36 System Mergers 07
Area Projects Completed APO 03 SEM 02 eBusiness 10 CRM 02 SAP Implementations 176
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Your assurance to success – partner with experience
SAP Reporting Options
Operational R/3
R/3
Business Information Warehouse(BW)
ABAP Query, Report Painter/Writer“Canned” R/3 Reports
Information SystemsLIS-COPA-FSL
Third Party Tools and Applications
Cu
stom
AB
AP
Rep
orts
Transactions + Operations
Middle MgmtFunctional Areas
Top MgmtC/VP Level
Strategic
Tactical
Plan your work& work your plan
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Your assurance to success – partner with experience
Where we are
•Start: PLAN Reporting & Analytics
•The Business Reason • The success factors in BW
implementations• Data Modeling
Data design selections• End: REPORTING - Queries and
Analytics
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Primary Reason
• Every DW is initiated for reports, analytics and/or as a data repository.
• With reports as the end, only a planned beginning can assure success
• To ensure successful Reports and Analytics from the BW we must:Collect and document all Reports/ Analytic
requirementsModel all requirements by source and computationsThe modeling phase must isolate 90% of issues and
gapsThen deliver the required reports and analytics
Key Feature
Timers
Memory
RAM
Chips
Contract
Direct
Disti
Reportingv/s
M I S
Queries and Analytics
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Sample Business Reasons
Supply chain informatics Accurate PO and Vendor information (info) Accurate Production capacity, output, rejections and shipment info
Customer and material reporting Consolidated customer and material info across companies and
regions
Margin analytics by selection Margin by total company, partner companies, regions, sales offices,
materials, customer and material groups, etc
Accurate up to date and online stock information Material and valuation from every partner storage location
Tactical and Strategic information Competitive analytics by market segments and regions Service offering trends and projections and their impact on
Operations
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Your assurance to success – partner with experience
BW 3.0x options and ROI
BW 3.0xPure WEB
Query Designer
SAP Non SAP Legacy
APO SEM CRM BW DW
CAPTURE
Downward Integration
Upward Integration
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Your assurance to success – partner with experience
Where we are
• Start: PLAN Reporting & Analytics
• The Business Reason • The success factors in BW
implementations• Data Modeling
Data design selections• End: REPORTING - Queries and
Analytics
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Your assurance to success – partner with experience
5 reasons contribute to 70% of the success of all data warehouse projects. 2 the balance 30%
1. Define Business Reasons2. Proven Methodology 3. Implement POC / CRP
1. From a Workshops to a Pilot ‘Proof of Concept’
4. Conduct detailed Multi-dimensional data-modeling
5. Plan your Reports and Analytics6. Experienced Partner selection7. Planned procedures, documentation and knowledge
transfer
The 7 Steps of success (SF*)
* SF = Success Factor
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SF 1 – Methodology
Best Practice
5%
50%20%
10%
15%
Report Gathering Data Modeling Construction Other Report & Analytics
BW Best PracticeStart
Proof of Concept /
understanding BW
Modeling Construction
DW Best Practice(Ralf Kimball)
30%70%
* SF = Success Factor
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SF 1 – Methodology II
• Collect Reports and document Current reports from production systems with ID Reports being generated off-line with ID Wish List reports not yet generated
• Code and track Report requirements• Define and plan Dimensions,
Characteristics, Attributes, and ‘Key Performance Indicators’
• Map Data-Flow
Reports Track
Solution
KPI’s
Building Block
40B > 46C1
Base MM
PSA
Base SD
ConsolidatedDRM
DetailedDRM
DRM
MM
BaseFI
SDFI
* SF = Success Factor
100%
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SF 1.2 – Proof of Concept
• Must be followed after a overview understanding of BW functionalities, i.e. in workshops
• Also known as CRP ‘Conference Room Pilot’ demonstration –
• WHY is this importantEssential for end-users to understand the
functionalities and limitations of BW Imperative for answering data-modeling
questions for designing the BW Imperative for defining KPI’s, Calculations,
formulae, change data management, etc
* SF = Success Factor
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Your assurance to success – partner with experience
Where we are
• Start: PLAN Reporting & Analytics
• The Business Reason • The success factors in BW
implementations• Data Modeling
Data design selections• End: REPORTING - Queries
and Analytics
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Your assurance to success – partner with experience
Data modeling ..without a
clear goal atthe end of design
beginningthe design phase
becomes Totally redundant..
InfoCube
The BW is ju
st
a reposito
ry
between your
source
and require
ments
* DM = Data Modeling
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Your assurance to success – partner with experience
Work Plan
Company 1 70:30 1 week gathering all reports 2 weeks coding the reports 1 week defining business drivers 1 week defining KPI’s 2 weeks data modeling 5 weeks constructing 1 week debugging 4 weeks reporting
Company 2 10:90 2 weeks gathering reports Little coding Assumed business drivers Assumed KPI’s ½ day data modeling 5 weeks constructing 1 week debugging 2 week reconstructing 3 days debugging 2 week reconstructing 3 days debugging 2 week reconstructing 2 days debugging 4 weeks reconstructing ……
Best Practice
* DM – Data Modeling
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Reports and Analytics
• 2 primary reason’s for every BW (1) Reports and Analytics, (2) End User
•Do not ever forget the End User, they are the key to the success of every BW. Involve them
•No single OLAP tool will ever meet all end-user requirements.
– Start with BEx as the beginning tool– Analyze vendors on differentiating factors
(Requirement v/s how each product compliments BEx)
* DM – Data Modeling
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Delivered v/s Customization
Data Modeling requirement
DeliveredBusinessContent
Dat
a M
od
eli n
g R
equ
irem
ent s
Extension CustomCubes
100%
The higher the customization higher is the Data modelingrequirement
BW Resource Planning
The higher the customization higher is the technical resource requirement
DeliveredBusinessContent
Extension CustomCubes
Functional ResourcesTechnical R
esources
Hi usage
Low usage
DM = Data Modeling
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Your assurance to success – partner with experience
BW Information Architecture
Analytics via the web
WEB
InfoCube
InfoCubeODS Object
OLTP – SAP R/3
Simple Query
Multi-Cube
MultiCube Query
ODS Query
Jump Queries
Drill Through
Remote-Cube
ExternalSource
DM = Data Modeling
100%
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BW Snowflake Star-Schema
FACT
Sales Area
Text
SID Table
Master
Hierarchy
Text
SID Table
Master
HierarchyText
SID Table
Master
Hierarchy
Text
SID Table
Master
Hierarchy
Text
SID Table
Master
Hierarchy
Text
SID Table
Master
Hierarchy
Text
SID Table
Master
Hierarchy
Text
SID Table
Master
Hierarchy
Text
SID Table
Master
HierarchyText
SID Table
Master
Hierarchy
Text
SID Table
Master
Hierarchy
Finance
Customers
Material
DISTI
Big Leap = 13 Dimensions = x DimensionsEach DIM can take 248 Characteristics = Dimensions
Total Dimensions possible in BW = 13 x 248 = 3,224
DM = Data Modeling
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ERM
Customer
Material Sales Person
Material group Sales Department
Customer noCustomer nameCityRegion
Material noMaterial nameMaterial type color price
Material group noMaterial group name....
Sales TransactionDateCustomer noMaterial noSales pers noAmountQuantityCurrency
Sales pers. noSales pers. name.......
Sales dep. noSales dep. location.......
DM = Data Modeling
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ERM > Star Schema
CustomerCustomerStreetStreet SalesPersSalesPers SalesRegionSalesRegion MaterialMaterial UnitUnit DateDateDate
Customer SalesPers Material Date Amount Quantity
Ides Gmbh Meier Monitor 981118 1000 2
Customer SalesPers Material Date Amount Quantity
Ides Gmbh Meier Monitor 981118 1000 2
Ides Gmbh Meier Monitor 981118 Sales Rep ID
LastNameSalesDep
Material ID
Material NameMaterial TypeMaterial Group
Customer ID
Customer NameCityRegionOffice Name
Time Code ID
YearFiscal YearQuaterMounthDay of the Week
Material IDSales Rep IDTime Code IDCustomer IDSales AmountQuantityUnit Price
Time DimensionCustomer Dimension
Sales Org DimensionMaterial Dimension
FACT??
Customer
City
Region
Material Group
Sales order
Price
Sales Person
Sales Dept.
Sales Dept. Loc.
Material
Material TypeColor
PlanGranularity
Best Practice
DM = Data Modeling
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DM-2 __ Star Schema > InfoCube
Sales Rep ID
LastNameSalesDep
Material ID
Material NameMaterial TypeMaterial Group
Customer ID
Customer NameCityRegionOffice Name
Time Code ID
YearFiscal YearQuaterMounthDay of the Week
Material IDSales Rep IDTime Code IDCustomer ID
Sales AmountQuantityUnit Price
Time DimensionCustomer Dimension
Sales Org DimensionMaterial Dimension
FACT
MDM/ Star Schema
SAP BW
Material DIM ID OrgStr DIM IDTime Code ID ....Quantity.....
SalesRep ID
Last Name...
Material DIM ID
Material IDMatType
Material ID
Mat.descriptionMatType...
OrgStr. DIM ID
SalesRep SalesDep SalesDep ID
Address...
Best Practice
DM = Data Modeling
100%
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Plan & Strategize
DM = Data Modeling
• Change of data management, I.e. Customer in Region 1 goes to region 2 in the future
• Dimensions, Characteristics, and attribute relationships – and their multi-dimensional relationships
• SID table functionalities and plans, I.e. time dependant or not
• OtherHierarchies, Partitioning & Compression, Navigation
Attributes, Variables, Reporting alternatives, etc
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Trade offs
Granularity (detail) v/s space, access speed
Navigation Attributes (ease) v/s speed
Aggregation (speed/ease) v/s no detail
Partitioning (segregation) v/s single point of access
Design (planned) v/s random growth and confusion
Archiving (space) v/s historical access
Compounding objects (identity) v/s loss of uniqueness
Performance (easy of use) v/s all above
Roll-up Planning (planned) v/s fire-fighting
Tip
DM = Data Modeling
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Where we are
• Start: PLAN Reporting & Analytics
• The Business Reason • The success factors in BW
implementations• Importance of Data Modeling• Data Modeling
Data design selections• End: REPORTING - Queries and
Analytics
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Design Criterion – 1 Rules of changes
Option 3:
SS1 SS2
PSA
O D S
InfoCube
Business Rules
O D S
MultiCube
Option 2:
SS1 SS2
PSA
O D S
InfoCube
Business Rules
Business Rules
O D S
MultiCube
CLEAN
Security
Checks&
DataValidation
Tip
Option 1:
SS1 SS2
PSA
O D S
InfoCube
Business Rules
Business Rules
O D S
Business Rules
MultiCube
Business Rules (dev)
DM = Data Modeling
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Your assurance to success – partner with experience
Where we are
• Start: PLAN Reporting & Analytics• The Business Reason • The success factors in BW
implementations• Importance of Data Modeling• Data Modeling
Data design selections
• End: REPORTING - Queries and Analytics
100%
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Reporting Options
Standard BEx (modified MS Excel)• Approved BW OLAP vendors
1. Integrating reports in the SAP Portal system:– mySAP Workplace (now SAP
Portal): Drag & Relate, MiniApps
2. Running reports against the SAP Business Information Warehouse (BW):– SAP BW: ODBO/BAPI*
3. Running reports against SAP, and non SAP sources:– SAP R/3: RFC/BAPI**/
conversions
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OLAP Vendors
VENDOR Product SAP R/3 BW OtherSAP BEx arcplan dynaSight Brio Brio Report, Query Business Objects Bus Query, WebIntell Cognos Power Play, Visualizer Comshare Decision Crystal Decisions Enterprise, analysis ESRI Connect IBI WebFOCUS MIS Alea, OnVision SAS Enterprise Guide Viador E-Portal Suite
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OLAP Vendors – S&W
VENDORS Strengths Weaknesses
B Ex • The greatest OLAP tool to start with• Uses an extended Microsoft Excel front end that need little training
• MS Excel limited reporting• Limited Graphical and MIS capabilities
arcplan • Large European Operation •ONLY MIS Analytics supplier• Integration with BAPI and ODBO• Integration with SAP Business Intelligence• Integration with R/3/ BW / SEM for write-back
• Limited reporting and ad-hoc analysis• Low visibility in the US
BrioTechnologies
• Operational reporting for R/3• Usability of Brio Enterprise for manipulating and formatting
• Separate product for SAP and BW•Limited Interactive analysis with BW
BusinessObjects
• Integrated reporting & analysis• Specialized Query interface• Publishing information to users
•Outdated rapid deployment template for SAP• Additional cost for BusinessQuery• No R/3 reporting capabilities
Cognos • Complete ETL, mart, tool• Strong reporting and mobile abilities• Good visualization and customization
•Limited reporting via PowerPlay• External Catalogs/mart needed for reporting• External marts needed for applications
Crystal Decisions
• Integration – Workplace, BW, R/3• Operational and BW Reporting• Totally supported and integrated with SAP, strategic partner with BW
• Minimal direct sales and consulting presence• Limited interactive analysis for BW
Information Builders
• Operational and BW reporting• I-vision solutions for R/3• Scalability and performance
• Limited ad-hoc reporting• Lack of usability for interactive report analysis
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OLAP Vendors – Analysis
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Use this section to drag & drop restrict / selection of data. For example, if you want to only view Tracking Partner 1062 you would drag Tracking partner here, right click on the object and click on the [Restrict] selection. Next you would select tracking partner 1062. This will ensure that THIS query only filters data of Track Partner 1062.
use to resort and recalculate the data along defined parameters. For example drag Material here to enable analysis along Material selection. This section fills the Rows headers for the Excel BEx.
This section displays the Cube design and displays all the selections available from the cube for the query / analytics.
This section fills the Column headers for the Excel BEx.
This section will provide a preview of the design that the query will take as objects are attached on to the Query design template. The only sections that will impact this design is the ‘Rows’ and ‘Columns’ selections
InfoCube to Query Relationship – 1
End-User Doc
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What a BEx Report contains
Whereto
FIND it
Take-Home
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REPORT 1 – BEx Query A
D Available Stock
JP
USA
GER
EUROASIA MIDEST
JP
USA
GER
EURO
ASIA
MIDEST
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REPORT 2 – BEx Query B
D Available Stock
0
200000
400000
600000
800000
1000000
1200000
AVNET
WYLE
INSIT
E
e-DIS
T
LOCUS
PARAMONT
NETSERVE
TOTAL
SYNOP
D Available Stock
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REPORT 3 – Enhanced MIS
Timers
Memory
RAM
Chips
Contract
Direct
Disti
Great
Feature
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Takeaways
• PLAN YOUR WORK AND THEN ONLY WORK YOUR PLAN• Follow tried methodologies, and proven templates
(do not try and reinvent the wheel)
Define Business Content Gather Reports and Analytics requirements Implement Proof of Concept
20% Commence Data Modeling 40-50%
Partner with an experience Get Steering committee approval on reports and models Get USER commitment on reports and expectations Construct and Configure the BW Select OLAP tools and options GO Live Post go Live plan and work
Don't Forget
}
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1 slide to tell it all
plan it, understand
it, schedule it, manage it
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Your Turn
Questions?Hari Guleriaicm AMERICA
[email protected]:(408) 835-9552
Off: (610) 647-9000 ext 4835www.icmamerica.com
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Name Desig.
Tel Email
Company City
Address City
State ZIP
R/3 Ver BW Ver
BW Since InfoAreas
Upgrade/New Plans
Approx month/yr
Question:
Questionnaire format
Email: [email protected]: 610.647.9177