Cognos TM1 for Advanced Users
                     ®




  November 12th, 2009



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   Sanjeev Datta
   Consultant for PerformanceG2

9/2/09	
  
Connect with us


 Call us: 877.742.4276

 Email Us: info@performanceg2.com

 Visit our Web site: performanceg2.com

 Watch our Cognos videos at: youtube.com/user/performanceg2
      Click	
  to	
  edit	
  Master	
  sub1tle	
  style	
  
 Follow us: twitter.com/performanceg2

 Read our blog: performanceg2.com/blog/
 Upcoming Events: performanceg2.com/events/
IBM Cognos TM1 – Advanced Users
  November 12th, 2009




9/2/09	
  
Session Objectives

        TM1 vs. Transformer

        TM1 Time Dimensions

        TM1 Cube Drill -Through

        Advanced Rules

        Data Spreading Techniques

        Executive Viewer

        Q&A


9/2/09	
  
Table Manager (TM) 1 versus Transformer


       Online Analytical Processing (OLAP) Cubes

       Slice and Dice

       Top Down View
       Sort and Filter
       Rotate and Nest

       MDX


9/2/09	
  
TM1 vs. Transformer 


	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  TM1	
  Cubes	
                	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Transformer	
  PowerCubes	
  

On	
  Demand	
  Aggrega1on	
  –	
  Real	
  Time	
  Data	
                                                                     Pre-­‐Aggregated	
  Cubes,	
  Longer	
  Build	
  Time	
  
Large	
  Data	
  Volumes	
  –	
  Vola1le	
  Data	
                                                                            Moderate	
  Data	
  Volumes	
  

Write	
  Back	
  Capabili1es	
  –	
  “What	
  if”	
  Analysis	
                                                               Offline	
  Capabili1es–”Disconnected”	
  Analysis	
  

Patented	
  64	
  bit	
  in-­‐memory	
  Architecture	
                                                                        First/Last	
  Query	
  Same	
  Speed	
  

Load/Merge	
  Data	
  using	
  built-­‐in	
  ETL	
  tool	
  from	
   Merge	
  Data	
  from	
  flat	
  files,	
  OLAP	
  Dims	
  
ODBC/ODBO,	
  SAP,	
  Other	
  Cubes	
  etc.	
  




          9/2/09	
  
Time Dimension

        TM1 treats Time Dimension as any other Dimension

        Single Time Dimension            Multiple Time Dimension




9/2/09	
  
Cube Drill Through


       Defines Detail Data associated with a cell in a cube

       Cube View, ODBC Data Source, TI Supported Data Sources

       2 Components

             Drill Process

             Drill Assignment Rule




9/2/09	
  
Demo 1 - Drill Through




9/2/09	
  
Advanced Rules

       Cube specific calculations in TM1

       Rules can be modified in any Text Editor

       Structure

             Area=Formula;

             [‘Sales Amount’]=[‘Qty Sold’]*[‘Unit Price’]

       Business Logic



9/2/09	
  
Advanced Rules


       SKIPCHECK;

             Turns off Sparsity Algorithm

       FEEDERS;

             [Area]=>feeder statement;

             Identifies cells containing calculations




9/2/09	
  
Demo 2 - Rules




9/2/09	
  
Data Spreading in TM1


        Relative Spreading

             Writes data back to the cubes

        Relative Spread Options

             Use other cubes data patterns as a basis

             Must share a common dimension between the source and
               target cells



9/2/09	
  
Data Spreading Techniques in TM1

                                Data	
  Spreading	
  Techniques	
  in	
  TM1	
  
         Propor1onal	
  Spread	
  	
  	
                Equal	
  Spread	
  

         Repeat	
  Method	
                             Percent	
  Change	
  

         Straight	
  Line	
  Method	
                   Growth	
  Percentage	
  

         Rela1ve	
  Propor1onal	
  Spread	
             Rela1ve	
  Percent	
  Adjustment	
  

         Repeat	
  Leaves	
                             Equal	
  Spread	
  Leaves	
  


9/2/09	
  
Demo 3 – Data Spreading 




9/2/09	
  
Executive Viewer

        Perform Real-Time “What-If” and Ad-hoc Analysis

        Create professional, visually appealing reports for distribution

        View Information from different Perspectives

        Focus on Key Business Areas

        Enhance the Visual impact of Cube Views

        Customize Cube Views



9/2/09	
  
Demo 4 – Executive Viewer




9/2/09	
  
Q&A Session




 info@performanceg2.com
9/2/09	
  
Connect with us

 Call us: 877.742.4276

 Email Us: info@performanceg2.com

 Visit our Web site: performanceg2.com

 Watch our Cognos videos at: youtube.com/user/performanceg2

 Follow us: twitter.com/performanceg2

 Read our blog: performanceg2.com/blog/

 Upcoming Events: performanceg2.com/events/
Thank your for attending our Webinar!




 info@performanceg2.com
9/2/09	
  

Cognos TM1 for Advanced Users

  • 1.
    Cognos TM1 forAdvanced Users ® November 12th, 2009 Click  to  edit  Master  sub1tle  style   Sanjeev Datta Consultant for PerformanceG2 9/2/09  
  • 2.
    Connect with us Call us: 877.742.4276 Email Us: info@performanceg2.com Visit our Web site: performanceg2.com Watch our Cognos videos at: youtube.com/user/performanceg2 Click  to  edit  Master  sub1tle  style   Follow us: twitter.com/performanceg2 Read our blog: performanceg2.com/blog/ Upcoming Events: performanceg2.com/events/
  • 3.
    IBM Cognos TM1– Advanced Users November 12th, 2009 9/2/09  
  • 4.
    Session Objectives TM1 vs. Transformer TM1 Time Dimensions TM1 Cube Drill -Through Advanced Rules Data Spreading Techniques Executive Viewer Q&A 9/2/09  
  • 5.
    Table Manager (TM)1 versus Transformer Online Analytical Processing (OLAP) Cubes Slice and Dice Top Down View Sort and Filter Rotate and Nest MDX 9/2/09  
  • 6.
    TM1 vs. Transformer                                                TM1  Cubes                                  Transformer  PowerCubes   On  Demand  Aggrega1on  –  Real  Time  Data   Pre-­‐Aggregated  Cubes,  Longer  Build  Time   Large  Data  Volumes  –  Vola1le  Data   Moderate  Data  Volumes   Write  Back  Capabili1es  –  “What  if”  Analysis   Offline  Capabili1es–”Disconnected”  Analysis   Patented  64  bit  in-­‐memory  Architecture   First/Last  Query  Same  Speed   Load/Merge  Data  using  built-­‐in  ETL  tool  from   Merge  Data  from  flat  files,  OLAP  Dims   ODBC/ODBO,  SAP,  Other  Cubes  etc.   9/2/09  
  • 7.
    Time Dimension TM1 treats Time Dimension as any other Dimension Single Time Dimension Multiple Time Dimension 9/2/09  
  • 8.
    Cube Drill Through Defines Detail Data associated with a cell in a cube Cube View, ODBC Data Source, TI Supported Data Sources 2 Components Drill Process Drill Assignment Rule 9/2/09  
  • 9.
    Demo 1 -Drill Through 9/2/09  
  • 10.
    Advanced Rules Cube specific calculations in TM1 Rules can be modified in any Text Editor Structure Area=Formula; [‘Sales Amount’]=[‘Qty Sold’]*[‘Unit Price’] Business Logic 9/2/09  
  • 11.
    Advanced Rules SKIPCHECK; Turns off Sparsity Algorithm FEEDERS; [Area]=>feeder statement; Identifies cells containing calculations 9/2/09  
  • 12.
    Demo 2 -Rules 9/2/09  
  • 13.
    Data Spreading inTM1 Relative Spreading Writes data back to the cubes Relative Spread Options Use other cubes data patterns as a basis Must share a common dimension between the source and target cells 9/2/09  
  • 14.
    Data Spreading Techniquesin TM1 Data  Spreading  Techniques  in  TM1   Propor1onal  Spread       Equal  Spread   Repeat  Method   Percent  Change   Straight  Line  Method   Growth  Percentage   Rela1ve  Propor1onal  Spread   Rela1ve  Percent  Adjustment   Repeat  Leaves   Equal  Spread  Leaves   9/2/09  
  • 15.
    Demo 3 –Data Spreading 9/2/09  
  • 16.
    Executive Viewer Perform Real-Time “What-If” and Ad-hoc Analysis Create professional, visually appealing reports for distribution View Information from different Perspectives Focus on Key Business Areas Enhance the Visual impact of Cube Views Customize Cube Views 9/2/09  
  • 17.
    Demo 4 –Executive Viewer 9/2/09  
  • 18.
  • 19.
    Connect with us Call us: 877.742.4276 Email Us: info@performanceg2.com Visit our Web site: performanceg2.com Watch our Cognos videos at: youtube.com/user/performanceg2 Follow us: twitter.com/performanceg2 Read our blog: performanceg2.com/blog/ Upcoming Events: performanceg2.com/events/
  • 20.
    Thank your forattending our Webinar! info@performanceg2.com 9/2/09