What's New in MicroStrategy 10 - Amazon S3s3.amazonaws.com/appforest_uf/f1471451020782x... · MicroStrategy 10 showcases a completely redesigned user interface, a variety of new features

What's New in MicroStrategy 10

Course Guide

WN10-May15

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Patent Information

This product is patented. One or more of the following patents may apply to the product sold herein: U.S. Patent

Nos. 6,154,766, 6,173,310, 6,260,050, 6,263,051, 6,269,393, 6,279,033, 6,567,796, 6,587,547, 6,606,596,

6,658,093, 6,658,432, 6,662,195, 6,671,715, 6,691,100, 6,694,316, 6,697,808, 6,704,723, 6,741,980, 6,765,997,

6,768,788, 6,772,137, 6,788,768, 6,798,867, 6,801,910, 6,820,073, 6,829,334, 6,836,537, 6,850,603, 6,859,798,

6,873,693, 6,885,734, 6,940,953, 6,964,012, 6,977,992, 6,996,568, 6,996,569, 7,003,512, 7,010,518, 7,016,480,

7,020,251, 7,039,165, 7,082,422, 7,113,993, 7,127,403, 7,174,349, 7,181,417, 7,194,457, 7,197,461, 7,228,303,

7,260,577, 7,266,181, 7,272,212, 7,302,639, 7,324,942, 7,330,847, 7,340,040, 7,356,758, 7,356,840, 7,415,438,

7,428,302, 7,430,562, 7,440,898, 7,486,780, 7,509,671, 7,516,181, 7,559,048, 7,574,376, 7,617,201, 7,725,811,

7,801,967, 7,836,178, 7,861,161, 7,861,253, 7,881,443, 7,925,616, 7,945,584, 7,970,782, 8,005,870, 8,051,168,

8,051,369, 8,094,788 and 8,130,918. Other patent applications are pending.

What's New in MicroStrategy 10 Table of Contents

MicroStrategy University 2015 MicroStrategy, Inc. Page 3 of 153

Table of Contents Table of Contents .......................................................................................................................................... 3

MICROSTRATEGY VISUAL INSIGHT ................................................................................................................ 8

Data Management .................................................................................................................................... 8

Accessing External Data ........................................................................................................................ 8

Data Preparation ................................................................................................................................. 17

Data Modeling ..................................................................................................................................... 25

Analytical Capabilities ............................................................................................................................. 37

Derived objects ................................................................................................................................... 37

Calculation Engine ............................................................................................................................... 41

Visualization and Presentation Capabilities ............................................................................................ 42

User Experience .................................................................................................................................. 42

New and Enhanced Visualizations ...................................................................................................... 49

Layout and Filtering ............................................................................................................................ 69

MICROSTRATEGY ANALYTICS DESKTOP ...................................................................................................... 71

INSTALLATION AND CONFIGURATION .................................................................................................... 71

Architecture and Supported Platforms ............................................................................................... 71

Installation and Upgrade ..................................................................................................................... 72

Server Integration ............................................................................................................................... 72

MICROSTRATEGY WEB ................................................................................................................................ 74

REPORT & REPORT SERVICES CAPABILITIES ............................................................................................ 74

Presentation and Calculations ............................................................................................................ 74

Session Idle Time Handling ..................................................................................................................... 74

Session Recovery ..................................................................................................................................... 75

Word Wrap and Locked Headers ............................................................................................................ 76

New Evaluation Order Setting in VLDB Properties ................................................................................. 76

Derived Attributes ................................................................................................................................... 78

Derived Metric Editor .............................................................................................................................. 79

Metric and Attribute Outer Joins ............................................................................................................ 80

Standalone Unit Condition Dataset Selector .......................................................................................... 81



Support for Relationship Filter Qualifications......................................................................................... 81

Dynamic Qualification Using Placeholders ............................................................................................. 81

Sorting in Design Mode ........................................................................................................................... 82

Create Dashboard from Grid/Graph Report ........................................................................................... 82

Dynamic Dates for Business Days ........................................................................................................... 83

MICROSTRATEGY MOBILE ........................................................................................................................... 85

iOS ........................................................................................................................................................... 85

Filter Panel in Explorer View ............................................................................................................... 85

Photo Uploader Enhancements .......................................................................................................... 85

Swiping Gesture to Switch Layout ...................................................................................................... 85

Enhanced iPhone Info Windows ......................................................................................................... 86

Light-weight Reconcile and Background Data Fetch .......................................................................... 86

Support for Shapes on Mobile Maps .................................................................................................. 86

Cascading input controls ..................................................................................................................... 87

Persisted Selections ............................................................................................................................ 87

Custom Authentication Workflow ...................................................................................................... 88

Support of Object Prompts ................................................................................................................. 88

Smart Client Workflow Enhancement ................................................................................................ 88

Preserve Selection Changes for Bulk Submission of Transactions ...................................................... 88

Standalone Unit Condition Dataset Selector ...................................................................................... 88

Conditional Logic for Transaction Input Controls ............................................................................... 89

New Statistics on Manipulations ........................................................................................................ 89

Improved Good Dynamics (GD) Workflows ........................................................................................ 89

ANDROID ................................................................................................................................................. 89

Complete Native App .......................................................................................................................... 89

Visualization using OpenGL ES .......................................................................................................... 89

Multimedia Widget ............................................................................................................................. 89

Interactivity Enhancements ................................................................................................................ 90

Multiple Maps ..................................................................................................................................... 90

Animation of Document Views ........................................................................................................... 90

Enhanced Logging ............................................................................................................................... 90

MICROSTRATEGY TRANSACTION SERVICES ................................................................................................ 91



Cascading Input Controls ........................................................................................................................ 91

Smart Client/Offline Transaction Workflow Enhancement .................................................................... 92

Conditional Logic for Transaction Input Controls ................................................................................... 95

Preserver Selection Changes for Bulk Submission .................................................................................. 97

MICROSTRATEGY SYSTEM MANAGER ......................................................................................................... 98

New Processes ........................................................................................................................................ 98

Enhancements of Existing Processes ...................................................................................................... 98

MICROSTRATEGY INTEGRITY MANAGER .................................................................................................. 100

Comparing Reports Using Custom Mapping ......................................................................................... 100

MICROSTRATEGY COMMAND MANAGER ................................................................................................. 103

New Commands .................................................................................................................................... 103

Other Commands .................................................................................................................................. 103

MICROSTRATEGY DISTRIBUTION SERVICES .............................................................................................. 105

Bursting to Email ................................................................................................................................... 105

Subscription ACLs .................................................................................................................................. 108

File Transfer Protocol Subscriptions and User Privileges ...................................................................... 111

Dynamic Recipient List Load Balancing ................................................................................................. 119

MICROSTRATEGY INTELLIGENCE SERVER ................................................................................................. 120

In-Memory Analytics ............................................................................................................................. 120

CSI Global Optimization ........................................................................................................................ 125

PRIME-related Analytical/SQL Engine Changes .................................................................................... 125

Auto Unload Caches .............................................................................................................................. 126

ROLAP SQL Engine: Enhanced SQL Global Optimization ...................................................................... 127

SAP BW Data Access Enhancement ...................................................................................................... 128

ODBC and JDBC Drivers ......................................................................................................................... 129

MICROSTRATEGY OFFICE .......................................................................................................................... 130

Call user-defined macros during report and document processing ..................................................... 130

Define default date format ................................................................................................................... 130

Option to hide Create Reports and Create Documents virtual folders ................................................ 131

Office 365 Certification ......................................................................................................................... 132

Office 2013 SP1 Certification ................................................................................................................ 133

MICROSTRATEGY OPERATIONS MANAGER .............................................................................................. 134



MICROSTRATEGY ENTERPRISE MANAGER ................................................................................................ 146

Enterprise Manager Console Deprecated ............................................................................................. 146

New Architecture of Statistics Logging and Data Loads ....................................................................... 146

Improved Enterprise Manager Project ................................................................................................. 147

Improved Enterprise Manager Warehouse .......................................................................................... 147

Configuration Wizard ............................................................................................................................ 147

Statistics on Post-Exec Mobile User Actions ......................................................................................... 148



NOTE:

This document is based on the beta-version of MicroStrategy 10. Some of the features, enhancements

and images included in this document may or may not be available in the GA version of MicroStrategy

10.

What's New in MicroStrategy 10 MICROSTRATEGY VISUAL INSIGHT


MICROSTRATEGY VISUAL INSIGHT MicroStrategy 10 offers several new features and usability enhancements for Visual Insight. These

features and enhancements are discussed in the following sections.

Data Management

Accessing External Data

MicroStrategy 10 showcases a completely redesigned user interface, a variety of new features for

connecting to your external data, a significant expansion in the variety of data sources to which you can

connect, and a reengineered and improved user experience for connecting to your external data.

Connect To Your Data Window

Import data in context

In MicroStrategy 10, the variety of data sources you can connect to is vastly more expansive then in

previous versions of MicroStrategy. Visual Insight users can now import data from any of the supported

sources directly from a redesigned user interface.



The following image shows where you can add a dataset in a VI dashboard and choose its data source: Adding Data to a Visual Insight Dashboard

To import data in Visual Insight:

1. From the Dashboard Datasets panel, click Add External Data

or

In the Add data menu, select External Data to open the Connect to Your Data wizard.

2. In the Connect to Your Data wizard, select the data source type you want to which you want to

connect.

3. Follow the on-screen instructions for the data source type the file provided to you in the

supporting files folder, select it, and click Open.

Local Datasets

A new feature in MicroStrategy 10 is the ability to create a local dataset. Local datasets are similar to

derived metrics in that they can be created in the originating dashboard only and cannot be shared

across other dashboards. Any dataset that is created within a dashboard or document is local by default.

When saving a dashboard, it automatically saves any modification to its local datasets. Users also have

the option to save a local dataset as a standalone dataset from within the Visual Insight user interface.

Unlike standalone datasets, local datasets will not appear on the folder page.

Import of Excel sheets and CSV files

Prior to MicroStrategy 10, files could only be imported one at a time. Now you can select and import

multiple Excel, CSV, and other delimited text files into a single dataset. Further, when importing data

from an Excel file, users can select and import multiple spreadsheets into a single dataset via the new

Multi-table support.



Importing Multiple Excel Worksheets

Import of data from Google Analytics, Google Drive, Google BigQuery, Dropbox, Twitter, and

Facebook

Google Analytics delivers KPIs for website operators, providing insights into visitor behavior and general

website traffic statistics. Users are able to import data based on schema objects (measures and

dimensions) used in pre-defined reports in Google Analytics or build an ad-hoc report using the Google

Analytics dimensions and measures.

Importing Excel, CSV, Google Spreadsheets and other delimited text files from Dropbox and Google

Drive is now supported. After logging in, users are able to browse directories and drag & drop desired

files for upload. Importing Data from Google Drive Example



Facebook and Twitter offer a wealth of social media data for deriving trending topics and Page Analytics. Users can take advantage of this information by importing data from a Facebook page or in the form of tweets that match a specified search term. When connecting to a Google BigQuery project, users have the option to connect live or pull data into memory by building a query graphically, executing a Freeform Query, or picking tables.

Working with any of these new cloud sources in MicroStrategy requires the use of OAuth credentials and setting MicroStrategy Web Server up to use HTTPS protocol.

To set OAuth parameters:

1. From the MicroStrategy Web Home page, click on Access Data

2. From the Data Source window, locate and hover your mouse over any of the OAuth data

sources

3. Note and click on the text Set OAuth Parameters

4. A new window will pop up, prompting for OAuth parameters

5. Provide the necessary values from the app/project you created for the data source and the data

source will now be configured for these OAuth parameters

There are 3 parameters which are required for each of the OAuth data sources:

Callback URL (sometimes referred to as Redirect URI)

Client ID (could be referred to as App key/ID)

Client Secret (could be referred to as App secret)

All three of these values are retrieved from the configured app/project on the data source. However,

the Callback URL is actually defined by the user within the configured app. In order for the OAuth data

source to connect to MicroStrategy, the Callback URL defined in the app must have the following form:

JSP: https:// /MicroStrategy/servlet/mstrWeb?evt=3172

ASP: https:// /MicroStrategy/asp/Main.aspx?evt=3172&src=mstrWeb.3172

Note: Please make sure your web browser allows pop-ups from your Web Server. Additionally, you must

access MicroStrategy Web via the exact Web Server name you entered in the Callback URL. For example,

if test.microstrategy.com is the Web Server name in the Callback URL, you will not be able to access your

data source if you login to MicroStrategy via http:// test/MicroStrategy/asp/Main.aspx?.

Note: Please review product documentation for specific instructions on OAuth setup for the data source

to which you are connecting. Instructions differ for each platform (e.g. Twitter vs Dropbox vs Google

Analytics).



Import of data from OLAP sources Users can Connect Live to MDX cubes and access data on demand from Microsoft Analysis Services, Cognos TM1, SAP Business Warehouse and Oracle Essbase. Note: Importing from OLAP sources is only available in the Enterprise offering.

Import From Cubes Window

Access data in Hadoop/HDFS using Big Data Engine The Big Data Engine is a new query engine introduced in MicroStrategy 10. It is used for connecting to big data sources such as Hadoop Distributed File System (HDFS). The engine presides as a layer between the MicroStrategy Intelligence Server and big data sources to provide optimized query performance. The Big Data Engine appears as a new connection type for accessing the HDFS and leverages several other new features introduced for Data Import:

Multi-table Import

Data Wrangling

Connect Live Once connected to HDFS, users can browse and select data files.



Connecting to HDFS

In addition to performing data wrangling, users have the option to define a custom SQL-like query to be

executed on selected HDFS files during data import. This feature enables users to run required pre-

aggregation and filtering on very large data files.

Note: Accessing data in Hadoop using the MicroStrategys Big Data Engine in only available in the

Enterprise offering. Desktop Users can fetch data from HDFS using SQL on Hadoop.

Access Search data via external Search index such as Apache Solr

Users can connect to search indices of Apache Solr via the Connect Live feature. i.e data is not stored

in memory but instead queried on demand.

With this new type of connector, a search index essentially behaves like a database that speaks

search instead of SQL, on both structured and unstructured data. A typical query for example is show

me customers whose comments include .

Note: Accessing data via external search index is only available in the Enterprise offering.



Import of data from BI applications

Data can be imported from SAP BusinessObjects Universe, IBM Cognos Framework Manager and Oracle

BI Enterprise Edition (OBIEE). In order to import such data, the desired report or query needs to first be

exposed as a web service in the BI application.

Importing Data from BI Sources

Access Data in Databases

Users can now Connect Live or Import data in Databases by graphically building a query, typing a

freeform query, or picking multiple tables in a single dataset. Support for 64-bit driver provides

improved performance.



Importing Data from Existing Databases

Access data from SAP HANA

MicroStrategy 10 adds support for Connect Live to SAP HANA just like any other database and in

addition supports tables input parameters. The input parameters are mapped to MicroStrategys

prompt objects and need to be answered before SQL can be generated. When a user adds an attribute

or metric from a SAP HANA source that requires input parameters, the user will be prompted to enter

the required values.

Import of data from a shared MicroStrategy file

Users can import dashboards that another user has previously created and exported using either

MicroStrategy Analytics Desktop or Analytics Express. The export and import of a dashboard file (.mstr)

captures all visualizations, filters and associated cubes.

Import manually entered or clipboard data

Users are able to create a custom dataset on the fly by entering data values manually or pasting data

from the clipboard into a table grid. For example, this option can be used to quickly create a product

lookup table by typing in product IDs and corresponding descriptions.



Importing Data from Existing Databases

Basic editing functions, such as insert a column, delete a column, and clear sheet, are available.

Public data

Users can pull in interesting data from Wikipedia by using search terms, and then scrapping the URL.

Users are presented with a quick preview of the data in the wiki URL which allows users to pick the right

dataset. Importing Public Data from the Web

Import from URL and network location

In addition to importing files using the http, https, ftp, File protocols, users can now just paste any html

URL which has a table of data. Doing so, MicroStrategy will extract/scrape data and other formatted

information from the table in that html page.

In addition, a new option Network Browser is available that allows users to browse a specified

network location first and import multiple data files at once.



Enhanced import of delimited text files

In addition to comma-separated (.csv) text files, the following delimited text file formats are now

supported:

Tab-delimited (.tsv)

Space-delimited (.prn)

Other-delimited (.txt)

Enhanced import from Teradata

For improved data transfer performance, Data Import now supports data retrieval from a Teradata

database using the native Teradata Parallel Transporter API for publishing large cubes as an alternative

option to ODBC.

Data Preparation

Data wrangling

Users now have a powerful capability to modify, cleanse and transform data during import. Functions

range from removing duplicate cells and rows, finding and replacing values, splitting and concatenating

columns, to various cell operations.

Manipulating Imported Data with the Data Wrangling Tool

Data wrangling is supported on the following data sources:

Local and URL files



Clipboard and manually entered data

Hadoop via Big Data Engine

Data scraping via URL

Google Drive & Analytics, Dropbox, Twitter, SalesForce, and Facebook

Sample files

EXERCISE: Data Wrangling

Note: this exercise uses the Olympic Medals.csv file posted available in the MicroStrategy Learning

Portal. Please download this file prior to beginning this exercise.

1. On the MicroStrategy Web home screen, select Access External Data.

2. In the Data Import window, select File From Disk.

3. In Window Explorer or Finder, navigate to the location where you saved the files downloaded

from the MicroStrategy Learning Portal. Drag the Olympic Medals.csv into the specified area

within Data Import to upload the file. You can also select the Olympic Medals.csv file by

clicking Browse and navigating to the location where the file is saved.



4. Click Prepare Data to move to the Data Import preview window.

5. In the Data Import preview window, click on the context menu for the Olympic Medals.txt

table. Choose Wrangle The Wrangle tool will open in a new window.

Note: users can also access the Wrangle tool by clicking the Wrangle link on the right side of

the Data Import preview window.



6. From the Select Columns drop down menu, choose City.

7. In the Select Function column, choose Split on Separator.

8. Split on Period.

9. Notice that the City column has now been split into City 1 and City 2.



10. Double click on the City 1 header. Rename the column City. Also rename the City 2 column

as Year.

11. Select the Medal column by clicking once in the column area. Note: this is the same as

choosing the Medal column from the Select Columns drop down menu in step 6.

12. Select the To Uppercase function. Note, this function also appears in the Select Function

menu drop down. The list of functions shown is a subset of suggested actions.

13. The medal column should now look like the following:



14. Remove the Sport column by clicking on the context menu and selecting Delete.

15. Now, you rethink your choice to delete the Sport column included in the dataset. The History

Script box allows the user to undo, reset, or go back to a specific place in the refining process.

Click the undo button to return the Result column to the dataset.

16. Notice that the Delete column [Sport] column has been returned to the dataset and the line

item in the History Script has been grayed out.

17. A user may want to delete lines that contain certain information. This can be achieved by

employing text facets. Select the Medal column and Text Facet.



18. A box containing all text facets for the Medal column and will appear at the bottom of the

Wrangle window. You would only like to include those athletes who won gold medals in your

dataset. Place your mouse over the GOLD text facet and click Include. Note: the number

next to the text facet indicates how many rows with that text facet are included in the dataset.

19. Notice now only the gold medal winners appear in the preview window.

20. Navigate to through the pages of data. Notice that Basketball is misspelled Basketbal under

the Discipline column. To fix this error, select the Discipline column and choose to Find and

Replace Cell.

21. Insert the correct find and replace inputs and click APPLY.

22. Check that basketball is now spelled correctly.

23. Click Export above the History List box to generate a reusable script. Copy and paste this script

into a text file and save.



24. You have now finished manipulating your data. Click OK to commit the changes.

25. You should automatically return to the data preview window.

26. Click Finish to save and publish your new dataset as an Intelligence Cube.

27. This dataset is now ready to use in a dashboard or document.

28. Open Data Import and choose to import File from Disk. Again, choose the Olympic Medals.csv

file to import.

29. Wrangle you data, but this time choose to import the history script saved in step 23.

30. See your data transform according to the steps earlier in this exercise.



Data parsing

In addition to column-based wrangling, users can skip a desired number of rows and insert new columns

by parsing the entire dataset. Included in the Parse window is an option to switch between viewing data

in a tabular and crosstab format. Parsing Imported Data

Data Modeling

Multi-Table dataset

Users now have the capability to combine datasets\tables from multiple different sources (e.g. Excel and

RDBMS) into a single unified dataset. Users can graphically create a dataset model by automatically or

manually mapping attributes across tables.



Creating a Multi-Table Dataset

Table-join on common attributes

In previous releases, query generation relied primarily upon the definition of a schema and the

associated relationships among attributes. In MicroStrategy 10, defined attribute relationships are not

strictly required and queries can be generated based on common attributes that are automatically

detected. Users have the option to override the autojoin logic by explicitly either defining attribute

relationships or specifying which set of tables to use for a join.

Multi-form attributes

A multiform attribute allows the user to combine columns into a single attribute. Users can create a

multiform attribute via the Data Preview window by selecting at least two columns from a single table

and using a right-click menu option. Creating a Multi-form Attributes



Exercise: Import Multiple Tables (Pick Relational Tables)

1. On the MicroStrategy Web home page, select Add External Data.

2. Click Database.

3. In the Select Import Options window, select Pick Tables.

4. Select the Tutorial Data Database Instance and add the following tables.

LU_CUST_CITY LU_CALL_CTR LU_ITEM

LU_MONTH CITY_MNTH_SLS

5. Click Prepare Data.

6. The Multi-Table Data Import (MTDI) window will open. This window shows all tables selected in

the previous screen, and the respective columns mapped as attributes and metrics. Note that



Data Import automatically maps the table columns as attributes and metrics. Any errors in the

attribute or the metric mappings will be corrected later in this section of the workshop.

7. Users may want to add additional tables after the initial set of tables are brought into Data

Import. Add another table to the preview screen by clicking on the Add a new Table button.

Follow the Data Import workflow and select the ITEM_CCTR_MONTH_SLS (sales data at the

item, call center, and month levels) fact table. You should now see the new table in the MTDI

preview window after scrolling to the right.

8. In the MTDI preview window, notice that each column in a given table will be imported as a

separate attribute. For example, Call Ctr Id and Center Name are each listed as distinct



attributes in the LU_CALL_CENTER table. Data Import offers the opportunity to designate two or

more columns as attribute forms within a single attribute. To create a unified CALL CENTER

attribute, highlight both Call Center Id and Center Name by holding the shift key while making

the selections > RMC > select Create Multiform Attribute. Change the attribute name to CALL

CENTER. Double-check that the form (e.g. Call Center Id) and form categories (e.g. ID) are

correctly matched. Uncheck the display form for Call Center Id to ensure that only the Call

Center DESC will appear by default on reports and documents. Click Submit to create the new

multiform attribute.

9. The LU_CALL_CTR table should now look like the following in the MTDI preview window:



Note: The name of the attribute will change for all other tables containing at least one attribute

form. For example, the Call Ctr Id column in all other tables will also change to CALL CENTER.

10. Repeat step 10 for the following columnsall multiform attributes should be created on the

lookup table:

CUSTOMER CITY (Cust City Id, Cust City Name)

ITEM (Item Id, Item Name)

MONTH (Month Id, Month Desc)

11. Click on the All Objects View to see all attributes and metrics in a list form.

Keep the following columns labeled as Metrics:

Unit Price

Unit Cost

Month of Year

Tot Cost

Tot Dollar Sales

Tot Unit Sales

Choose Do Not Import for all other metrics. Additionally, do not import any extraneous

attribute columns that were not used in the multiform attributes created in steps 7 and 8.

Note: you can choose to not import multiple columns at once by highlighting a group of columns

using the Shift or Ctrl keys



You can also RMC click on a given column and choose Do Not Import in the MTDI preview

window. You can choose Do Not Import for multiple columns at once by highlighting multiple

items in the table preview before right clicking and choosing Do Not Import.

+

12. In the All Objects View window, convert Month of Year from a metric to an attribute. RMC

on the Month of Year metric and select Convert to Attribute. Note: you can also convert a

metric to an attribute (and vice versa) in the MTDI preview window.

13. The metric (and attribute) names are automatically populated according to the respective the

database column names. However, these names may not accurately reflect the metrics data to

the end user. While still in the All Objects View window, RMC on the following metrics and

select Rename.

Tot Unit Sales > Unit Sales



Keep the All Objects Window open for step 14.

14. Next, establish the Distribution Key, or Partition Attribute, from within the All Objects View

window.

Ideally, we would like to partition against the largest fact tables. Due to the fact that an in-

memory cube can only be partitioned on a single attribute, it makes sense to choose an

attribute that exists in both fact tables. In this case, the Item attribute meets that criteria.

We can also validate our choice of the Item attribute by looking at how the elements of item are

distributed across the row count of each fact table. When looking at the table

ITEM_CCTR_MONTH_SLS, we see the following:

From the screenshot above, we can see that the elements of Item are fairly evenly distributed

throughout the fact table (looking through the rest of the returned data confirms this).

Similarly, Item has a fairly even distribution in the CITY_MNTH_SLS table.

Choose 2 for the number of partitions, as these VMs typically come with 2 CPU cores. This

number can be adjusted depending on number of cores in your Intelligence Server machine.

Matching the number of cores to the number of partitions will help ensure that you are taking

advantage of in-memory analytics parallel processing functionality.



In the All Objects View window, select ITEM as the Distribution Key and 2 and the Number

of Distributions. Click Save and return to the MTDI preview window.

15. Click Finish in the MTDI screen. Save the Cube as MTDI Workshop Cube.

This MDTI cube with the new In-Memory Analytics Intelligence Cube structure is now ready to

use in a dashboard or document.

Parent-child relationships

In MicroStrategy 10, we automatically detect relationships based on sample data that is used to explain

how the columns in a table relate to each other. For each table, users have the option to change and

define new parent-child relationships (1:1, 1:Many and Many:Many) between columns in a table. Defining Attribute Relationships

A running history list of all applied transformations allows users to undo steps or revert back to the

original dataset. A script can be saved to automatically apply as part of data refresh. When working with

a sample dataset, users have the option to save the script of applied transformations, and apply the

script later to another (e.g. production) dataset.

Incremental Refresh of Multi-Table datasets

Users can control the refresh policy for each individual table in a dataset. Refresh policy options include

Add new data, Add new data and update existing data, Update existing data and Replace existing

data. New data can be appended only when the same the set of objects (Attributes, Metrics) are

present in the table.



Refreshing Data for Multi-table Datasets

Support for Partitioning

Thanks to the new PRIME cube architecture, when importing multiple tables from a database, users

have the option to specify a partitioning attribute (distribution key) and the number of distributions.

Due to the fact that MicroStrategy currently only supports single node architecture, the number of

distributions needs to match the number of CPU cores of the MicroStrategy Intelligence Server machine.

Access control for multi-Table datasets

Users have the option to control access to multi-source datasets. When sharing a multisource dataset,

users can set security filters on attributes contained in the dataset. Adjusting User Permissions



Advanced Update Options

Two new advanced options are available for specifying a scheduled update of datasets. Scheduling Dataset Updates

1) Alternate Source: This setting allows users to select a different source location for updating a cube.

This option is available for Pick Relational Sources and File from URL type datasets. Use cases include

situations where the daily data for transactions is temporarily held in a smaller table rather than the

table containing all the transactions.

2) Refresh Filter: The refresh filter allows users to filter the data coming from the source by a specified

filter before merging it with the cube data. This allows for only a limited amount of data to be retrieved

from source. This option is only supported for the Pick Relational Sources type datasets.

Dataset Blending/Document-level joins across data sets

In previous releases, attribute mapping to support joins across datasets was enabled, provided users

had write access to the datasets, and with the consequence that the change would affect all other

documents that used those datasets. In the MicroStrategy 10 release, a new document-level attribute

linking feature to support joins across datasets is now enabled. Users only need write access to the

document instead of read access. It will also not affect any other documents referring to the same

datasets.

ID-description joins

In previous releases, only attribute mapping joins on ID forms was supported. In this new release, users

can now join on attribute ID-description forms. A typical example is when we want to blend an Attribute

in a Product project might have ID (numeric data), Desc forms (text data) with an Attribute in an Excel

file which only has the text data.

Connect Live Dataset

For certain data sources, users have the option to either create an in-memory dataset (cube) or connect

to the data source live. The latter implies that MicroStrategy generates queries on the fly as the user is



interacting with the data, creating and viewing visualizations and reports. Connect Live datasets can be

created for RDBMS, OLAP sources, Google BigQuery, Hadoop files, Search as a Source, and

MicroStrategy projects (i.e. cube, report or ROLAP schema). Connecting to Data

Automatic geo enrichment and standard time dimension

When importing a new dataset, MicroStrategy automatically identifies both geographic and date

attributes. Geographic attributes are automatically assigned a corresponding geo role. For date

attributes, MicroStrategy automatically generates the corresponding time dimension attributes Month,

Quarter and Year.

In situ dataset modifications

In previous releases, modifying a dataset in any way, such as changing a column from attribute to

metric, required the cube to be republished by fetching data from the underlying sources. In the

MicroStrategy 10 release, these operations can now be performed without having to fetch data again

from the sources.

Without the need to leave the Visual Insight user interface, users can perform and save changes to a

current dataset. It is possible to modify the join relationships between tables in the current dataset, as

well as replace the current dataset with an existing one or with a newly imported one. In addition, users

can delete individual tables from the current dataset, upload and replace individual tables.

Furthermore, users can add, rename, hide and remove attributes, metrics and derived elements. The

data type of attributes can be changed easily to a different type. In case of geographic attributes, the

user also has the option to override the automatically derived geo role.



Analytical Capabilities

Derived objects

Derived attributes

Derived attributes are a new type of object in MicroStrategy 10 that offer flexibility for end users, while

reducing dependency on administrators. A user can now create an attribute at the document-level

based on other attributes and metrics without requiring Architect privileges. Some common uses for

derived attributes include concatenating multiple attributes, extracting a substring from an existing

attribute, and converting a metric to an attribute. Creating Derived Attributes



New derived metric editor

The derived metric editor has been redesigned with enhanced functionality in MicroStrategy 10. The

editor now offers users more assistance when building metric definitions and comes closer to parity in

terms of functionality available in MicroStrategy Developer.

Creating Derived Metrics

New shortcut metrics

The MicroStrategy 10 release introduces the following new shortcut metrics:

Diff and %Diff for quickly calculating the difference and percentage difference between two

metrics, respectively

Percent of

Percent Change

Difference

Percent Running Total

Percentile

Enhanced moving totals with more flexibility in picking the moving window

New calculation functions

The MicroStrategy 10 release introduces the following new functions for use in derived metrics and

attributes:

Data type conversion: ToString(), ToNumber(), ToDate()

String functions: Match(string, regex)

Date functions: FiscalWeek(), FiscalYear()

Financial functions

o XIRR: Internal Rate of Return for non-periodic cash flow 2 8



o XNPV: Net Present Value for non-periodic cash flow

Statistical functions

o Weighted Standard Deviation

o Weighted Mean

o Weighted Covariance

o Weighted Correlation

New ranking functions

o PercentRank: Calculates a values relative standing as a percentage with respect to its

own data column.

o PercentRankRelative: Calculates a values relative standing as a percentage when

referencing another set of data then its own.

Manual control of aggregation and subtotaling behavior

The new derived metric editor provides an option to control how a derived metric is calculated. When

Aggregate from Base (AFB) is enabled, the metric is directly calculated against the warehouse or data

held in memory. When AFB is disabled, the metric components are calculated from the in-memory data,

but the actual metric calculation occurs as a post-query Analytical Engine calculation. The Subtotals

From Base option follows an analogous logic.

Edit Metric Aggregation and Subtotal Behavior

Group-derived elements

From within a grid view or visualization, users can create custom groupings of attribute elements. A

group-derived element combines multiple elements from a single attribute into a new derived element.

For example, a user may want to calculate revenue for the last six months of the 2012 calendar year.

However, the dataset only contains revenue data at the quarter level. The user can now combine the

attribute elements [2012 Q3] and [2012 Q4] to visualize revenue for that six month timeframe.

Creating a group can be done very quickly by simply selecting multiple elements and using the right-click

menu option Group.



Creating a Group-Derived Element on the Fly

Alternatively, users can open the Element Group Editor to create and edit multiple groups. An option

exists in the editor to treat all remaining elements, not contained in a defined group, as either individual

elements or a separate group. Creating a Group-Derived with the Editor

Derived group elements are treated as any other basic element. This means that users can filter based

on them using the Keep Only and Exclude options.

Calculation-derived elements

A calculation-derived element allows a user to define a row-level calculation using multiple attribute

elements. For example, a user may want to show the difference in revenue between December 2012



and November 2012 without having to create a new derived metric that calculates the difference for

every month in the report as an additional column in the report. A calculation-derived element adds a

new row that shows this specific calculation. Calculation-Derived Element Example

Similar to group-derived elements, calculation-derived elements are treated as any other basic element.

This means that users can filter based on them using the Keep Only and Exclude options.

Calculation Engine

Dynamic Dimensionality, Break By, Sort By and % of Parent

In previous releases, the dimensionality, break-by and sort-by behavior of metrics were static and would

not change when the template layout changes. In MicroStrategy 10, a metrics formula can be defined

dynamically based on the template layout and applied sorts. This new feature enables dynamic

calculation of percent of parent metrics and the correct calculation of percent of total metrics when

the template changes.

Dynamic calculation of derived metrics

In previous releases, results for % of total and running/moving shortcut metrics could get out of sync

when users modified the contents of and sorts of visualizations. In the new release, this issue has been

addressed by dynamically representing attributes and sorting behavior in different drop zones, thereby

keeping the metric results in sync with changes to the templates of visualizations in dashboards.



Visualization and Presentation Capabilities

User Experience

New HTML5 user interface Visual Insight has undergone a redesign using HTML5 technology. The new HTML5 user interface contains the same features and functionality as the Flash version but also introduces a significant number of enhancements with respect to features, functionality, and user experience. The editor for creating dashboards and working with data uses HTML5 technology across both MicroStrategy Web and Analytics Desktop. The interface for data import has been improved and is now more tightly integrated into the workflows for using dashboards, reports and documents. As a result, Adobe Flash is no longer required to render dashboards with interactive features. Previously created dashboards will automatically render in HTML5 with no loss of functionality (exception: the Image Layout is not available yet in HTML5 VI). In case of legacy browsers (i.e. Internet Explorer 8), dashboards will still render in Flash, but without any of the functional enhancements introduced in MicroStrategy 10.

Improved workflows This new release has placed a particular focus on user experience, which has translated into countless workflow improvements. One of the most fundamental changes involves the dashboard creation process. Now when a user clicks the Create Dashboard button on the main page, a blank dashboard appears without forcing the user to select or create a dataset first.

Enhanced menu bar The top menu bar combines the functionality of list-type menus with the agility of one click icons.

Visual Insight Menu Bar

Once first-time users open the Visual Insight user interface, they will be greeted with tooltips that will help familiarize them with how the product works. The File menu now offers Open and New options.

Dashboard tabs at bottom of UI

By popular request, the dashboard tab bar now resides at the bottom of the screen to free up screen real estate and allow users to enter longer titles. The tabs can be moved back to the top using the context menu on any of the tabs.

Dock-able panels

Visualization and selector panels as well as the panels for editing properties can now be dragged and dropped to a different location on the screen. For example, this allows users to stack the visualization editor, filter and properties panels on top of each other and to the right of the dashboard canvas.



Light-weight scrollbars

The redesigned user interface makes use of scrollbars that only appear and become active when the user moves the mouse over the location of the scrollbar. This enhancement helps to provide a cleaner UI and preserves more UI real estate for visualizations.

New visualization gallery

The workflow to change visualizations has been simplified via the introduction of a one click Visualization Gallery panel that displays by default on the right side of the screen. It allows users to quickly switch between visualization types. Moving the mouse over a visualization icon in the gallery pops up a tooltip that shows the user the required number of attributes and metrics, highlighting the number of objects missing to render the chart.

Visual Insight Visualization Gallery

Tree view for dataset objects

The panel for dataset objects has been improved in the form of a tree view control. This enables users to collapse and hide unwanted datasets and objects.



Context menu for dataset panel

The context menu next to the dataset panel title gives users access to an expanded set of functionality. Not only are users able to add datasets but now also replace datasets with other data sources.

Dataset Panel Menu

New dataset object search

A new search box makes it easy for users to quickly identify and select the objects they would like to use in visualizations, filters etc.

Data Object Search Box

Improved graph interactivity

The drag & drop capabilities have been enhanced in this release to enable users to drag & drop objects

directly on top of bar, line, area and pie graphs. Users can drag & drop attributes and metrics onto more

granular drop zones. For example, dragging a metric onto the Numeric axis of a Bar chart, provides an

option to either replace the existing metric or add it as a secondary metric.



EXERCISE: Building and Altering Visualizations Via Drag and Drop

This exercise assumes that users are familiar with the Data Import process. If you are not familiar with

this process, please review the previous section regarding Data Import.

1. Navigate to the Add Data button in the top toolbar.

NOTE: For the purposes of this exercise, a report containing Subcategory, Region, Revenue,

and Profit will be used. This report can be created easily using the MicroStrategy Tutorial

dataset.

2. Add Subcategory to the Rows and Revenue to the Metrics either by dragging and dropping the

objects into the drop zones or double-clicking on them in the Datasets panel.

3. Change the visualization to a Bar Chart by navigating to the Visualization Gallery panel located

on the right side of the screen, and clicking on the Bar Chart option. The Bar Chart is located

third from the top.



NOTE: If you cannot see the Visualization Gallery, navigate to the VIEW menu at the top of the

screen and click on Visualization Gallery to surface it on the dashboard template.

4. Drag and drop the Subcategory attribute from the Datasets Panel into the Color By drop zone in

the Editor Panel. This will color each of the bars by the appropriate Subcategory.

5. Now that you have created a Bar Chart similar to the one below, drag and drop Region directly

onto the graph matrix, and let go when the blue heuristic appears for the left vertical axis. As

you can see, a tooltip will also appear atop whichever axis you are hovering over. In this case, it

will say Add Region since you have selected the Region attribute.



6. Your dashboard should now look like the following:

Dragging and Dropping Directly on Charts

Taking into account the graph in the screenshot above, lets take a closer look at some of the finer

points of dragging and dropping directly on charts using the Profit metric.

1. Build a Bar Chart similar to the one constructed above:

Vertical: Region, Revenue

Horizontal: Subcategory

Color By: Subcategory

Ensure that Profit or another metric exists in your dataset

2. Drag and drop Profit onto the vertical axis. As you do this, you will notice that there are three

possible drop zones for your metric. Each of these drop zones answers a slightly different use

case, so lets take a look at what each of them do. Please note that you can move Profit around

the chart either by removing it from the graph (sending it back to the Datasets Panel) or by

grabbing the Profit metric header and moving it around.

TOP DROP ZONE: A Profit metric series will be created ON TOP OF the existing Revenue metric

series within each of the Regions.



MIDDLE DROP ZONE: A Profit metric series will be MERGED with the existing Revenue metric series

within each of the Regions and Subcategories.

NOTE: For this example, the Color By drop zone was changed from Subcategory to Metric Names to

emphasize the fact that the metric values are displaying side by side (Revenue = blue, Profit = red).

BOTTOM DROP ZONE: A Profit metric series will be created BELOW the existing Revenue metric

series within each of the Regions.

As you can see, dragging and dropping addresses several common use casesmaking it much easier

than ever to build visualizations to match various business needs.

Revamped advanced sorting

The advanced sort editor offers a new look and feel. In addition, users can now easily change the order

of multiple sort clauses via drag & drop.

New right-click context menus

Extensive options to sort, drill and change various properties of graph elements are made available via

right-click context menus. Right-clicking in different areas of a visualization allows users to directly set



the properties of objects/elements and add/create objects/elements (e.g. groups, derived

attribute/metric, trend line etc.).

For example, right-clicking on a metric label in a visualization enables users to quickly sort, change the

number format, create a derived metric, add a trend or reference line, or access various other options.

When selecting one or more elements in a grid or graph, users have the option via the right-click menu

to keep only or exclude the selected elements.

Export to PDF

Dashboards can now be exported in the form of a PDF document.

Warning before session times out

A new user preference has been added which allows users to be warned before the session times out

due to inactivity. This setting is disabled by default.

Time Out Notification

Auto-save and session recovery

MicroStrategy automatically performs background save operations. When a user session times out, the

user has the option to restore the session and recover the last saved state of the dashboard.

Warning of unsaved dashboard

Users are warned when trying to close an unsaved dashboard.

New and Enhanced Visualizations

Enhanced combo and dual-axis graph

More options are provided for creating combo and dual-axis graphs. Whereas in the previous release

only a bar-line combo chart was supported, users can now combine different graph types (Bar, Line,

Area, Circle, Square, and Tick) into a combo chart.

Dual-axis Graph



Configuring a graph with dual axes does no longer require using a dedicated visualization type. When

applicable, users are now able to simply drag & drop two or more measures onto their designated axis

drop zones.



EXERCISE: Create a Combination Chart Using Advanced Drag and Drop

1. Starting with the same base graph used in Exercise 2 in the previous section, drag and drop

Profit to the graphs right vertical axis, as seen in the screenshot below. Note that the familiar

blue heuristic will appear on the graph. Heres a reminder of what this looked like:

Vertical: Region, Revenue

Horizontal: Subcategory

Color By: Subcategory

Ensure that Profit or another metric exists in your dataset

2. As you can see below, dropping the Profit metric onto the right vertical axis creates a dual-axis

graphmore commonly known as a Combo Chart.

NOTE: Combination Charts can also be created by clicking on the appropriate icon in the Visualization

Gallery; however, the drag and drop on the graph matrix method gives power users more control over

the end result.



3. Now that the Combo Chart has been created, lets change the shape of the Profit Metric series

from Line to Area. Right-click on the Profit metric label, navigate to the Change Shape option

and select Area.

4. To better display the data, drag and drop the Metric Names object into the Vertical Axis and

use it to replace the Subcategory attribute in the Color By drop zone. Each metric will now have

its own color.



Enhanced formatting and configuration options

In order to empower users to make the most of their dashboard experience, formatting and

configuration properties have been enabled for all graphs, visualizations, and template objects (such as

text boxes, images, selectors, and more) available in the dashboard template. This includes not only an

improved Properties Panel, but also a subset of these properties contained in a toolbox made available

to users in a formatting mode when the user right-clicks on the canvas.

Visual Insight now offers a more complete set of graph properties, many of which have been ported

over from MicroStrategy Analytics Developer. Richer formatting options include but are not limited to

setting background color, shape fill color, border color, font properties, show/hide headers, opacity

adjustment, gradients, show/hide axis titles, matrix lines.

Enhanced heat map

Various new formatting options are available, including control of color and font properties of headers,

legend and background. The position of the headers can now be set either to top or middle relative to

the box. Furthermore, an improved legend can be collapsed and positioned on either the left or right

side of a heat map.

Enhanced network graph

Various new formatting options are available, including control of color, size and font properties of

network nodes, legend and background. A new theme option allows users to quickly choose between a

light and dark appearance of the network graph. An improved legend can be collapsed and positioned

on either the left or right side of a network graph.

Enhanced ESRI Maps

MicroStrategy supports maps across the Web, iOS, and Android platforms. The MicroStrategy 10 release

provides extensive mapping functionality leveraging ESRI, Google and Apple Maps.

Users can now choose from several base map styles (e.g. Street, Satellite, Topographic etc.) using ESRI

maps. ESRI maps support the following map types:

Area map

Density map

Marker map



ESRI Map

Consistent with the use of other visualization types, ESRI maps now supports options to show data for

selected markers/regions and using selections to serve as a filter on other visualizations in a dashboard.

ESRI maps feature an enhanced toolbar to facilitate selections and formatting. This new toolbar now

supports searching for places and automatically centering the map on a resulting location.

Trend, forecasting and reference lines

Users can quickly add a trend or reference line to a visualization. A trend line can be generated using a

choice of linear, logarithmic, exponential, power and polynomial models, including an option to enable

forecasting. By default, MicroStrategy automatically selects a model that best fits the data.

One or more reference lines can be drawn based on the max, min, avg, first, or last value in the measure

series or on a constant value. Reference lines can assist the end user in quickly evaluating whether or

not KPIs or other indicators lie above or below expectations.



ESRI Map

Users can control the calculation level for both trend and reference lines as follows:

Per cell: calculates the reference line independently for every cell in the Graph

Matrix

Per row: calculates the reference line based on the cells in the same row (horizontal)

Per Column: calculates the reference line based on the cells in the same column (vertical)

Entire table: calculates the reference line based on all cells in the visualization, resulting in the

same reference line in every cell



EXERCISE: Utilizing Forecasting and Reference Lines

Add a Forward Forecasting Line to a Dashboard

1. In MicroStrategy Web, create a report with the objects Month, Revenue, and Units Sold. Save

your newly created report as Trend Lines and Reference Lines Report.

2. Right click on the Trend lines and Reference Lines Report created in step 1, and select Create

Dashboard.

3. Delete any automatically populated visualizations by clicking on the context menu in the right

corner of the visualization and clicking Delete.



4. Create a new visualization by clicking the Insert Visualization button in the top menu.

5. If the Visualization Gallery does not automatically show on the right side of the dashboard,

open it by navigating to View > Visualization Gallery in the top menu.

6. Using the Visualization Gallery, switch the visualization type to Bubble Chart. Notice that the

drop zones change when the visualization type is changed.



7. Drag Month in the Horizontal drop zone and Revenue into the Vertical drop zone area.

8. The resulting visualization should look like the following screenshot.



9. Right-click on the Revenue metric and select Enable trendline for Revenue.

10. The trend line will automatically populate as follows:

11. In the Editor panel, switch to the Properties tab.



12. Choose to view the Trend and Reference Lines properties.

13. Check the box to Enable Forecasting. Extrapolate forward by 3.

14. The bubble chart should now look like the following screenshot.



15. Place your mouse over the trend line to see the trend line function and other statistical

information.

16. Disable forecasting and change the Model to Linear to see a line of best fit for the data at hand.

17. You visualization should now look like the following:



Note: You can also change the trend line color and line type within the properties menu.

18. Save your new dashboard as Trend Line and Reference Line Dashboard.

Add a Reference Line

19. Right-click on the metric label in the existing visualization. Navigate to Add a Reference Line and

choose Minimum.

20. Your visualization should now look like the following screenshot.

21. Navigate to the Trend and Reference Lines properties panel.



22. Add a second Constant reference line using the Reference Line section in the properties panel.

Input 1000000 as the value and click OK.

23. You will now see the constant reference line on your visualization. Place your mouse over the

line to see the reference line value.



24. Right click on the newly-created constant reference line. Change the reference line color. Note:

the user can select a custom color by clicking on the palette in the top toolbar.

25. In the Trend and Reference Line properties panel, choose to show labels. Note that the user can

expose labels for the reference line type, metric name, and line value for each reference line on

a given visualization.

26. The visualization should now look similar to the following screenshot.



Show/hide null and zero values

Visual Insight users can control whether or not null and zero values are displayed.

New and improved visualization properties

The following new visualization properties are available for users of Web, Analytics Desktop and Express:

Color setting at the element level. For example, users can set the fill color of a bar chart directly

via a right-click menu option

New option to set a specific color for an attribute value. When setting a specific color in a

visualization, the setting automatically applies to any other visualization using the same

attribute

This setting is persisted and applied when the dashboard is saved

New color palette

Formatting of axis, labels, legend, colors



New threshold editor

The MicroStrategy 10 release provides users with advanced options to determine how thresholds are

calculated and rendered. Options include:

Image vs. color type threshold

Choice of pre-defined color schemes

Reversal of the order of colors in a scheme

Threshold calculation based on Value, Lowest, Highest, Lowest % and Highest %

Threshold Editor



Quick view of data

When working with visualizations and selections, users can quickly view the data in the form of a simple

table by choosing the right-click menu option Show Data. In the Show Data window, users have the

option to export the data as an Excel, PDF or CSV file, or add the data in the form of a new grid

visualization to the current dashboard.

Show Data Window

Local number formatting

The format of a metric used in a visualization can now be specified without affecting the format of the

same metric used in other visualizations.



Display attribute forms

A new option exists to display additional attribute forms in a visualization.

Visualization themes/styles

The MicroStrategy 10 release introduces the concept of dashboard styles. Users can quickly switch

between different styles (e.g. dark, light) and choose a default color palette.

Third party plug-in and custom visualizations

MicroStrategy 10 enables developers to extend Visual Insight by supporting the deployment of custom

JavaScript-based visualization types (for example D3) as plug-ins. The MicroStrategy Software

Developers Kit (SDK) has long empowered users to add advanced functionality to the core capabilities of



the MicroStrategy platform. The ability to use third party plug-in and custom visualizations is not new,

but support has been enhanced for MicroStrategy Visual Insight. Built-in support for Google Charts has

been added to the product.

Layout and Filtering

Support of new layout objects

In addition to visualizations, Visual Insight users can add filter, text, image and HTML Container objects

to a dashboard template.

Filter: In the previous release, users were only able to add filter controls to the filter panel. Now

users have the ability to add filter controls to the dashboard template. The new template-level

filters function identically to the ones contained in the filter panel, except that the user has full

control over the targeting behavior of each individual filter.

Text: Using drag & drop, users can add attributes and metrics to be displayed inline with

manually entered text.

Image: Providing a URL to an image file specifies an image to be displayed in the dashboard.

Users are able to set the image size, borders, hyperlink, and other properties in the Properties

panel.

HTML Container: Users can either enter HTML code or a URL to an existing web page to include

HTML content in a dashboard.

Both Text and Image objects provide an option to serve as hyperlinks to an external URL.

New Use as Filter option

In addition to serving as a filter on other visualizations, selections on a visualization can be used to

highlight corresponding values in other visualizations.

Improved filter selector controls

MicroStrategy 10 introduces various enhancements of filter controls:

The appearance of attribute sliders has been enhanced to be more consistent with the look and

feel of metric sliders.



Global filters of type checkbox now provide an only option to quickly allow users to select a

single element.

Dropdowns are enhanced to support multi-select.

Search box selectors allow selecting multiple search results in a single search.

Filter object positioning and targeting

A filter object can be positioned relative to all other dashboard objects and configured to apply to one or

more visualizations and other filters in the dashboard. This enables the creation of local filters as well as

cascading filters.

What's New in MicroStrategy 10 MICROSTRATEGY ANALYTICS DESKTOP


MICROSTRATEGY ANALYTICS DESKTOP

INSTALLATION AND CONFIGURATION

Architecture and Supported Platforms

Availability on Apple Mac Desktop

Analytics Desktop is now certified to run on OSX Mountain Lion (10.8.x) and OSX Mavericks (10.9.x).

Extended Windows OS support

Certification and support of the following Windows OS versions was added in the MicroStrategy 10

release.

Certified:

Windows 8.1 all editions (on x86 or x64)

Windows Server 2012 R2 Standard (on x64)

Supported:

Windows XP Professional Edition SP3 (o