Cognos TM1 for Advanced Users

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Cognos TM1 9.5 for Advanced Users presentation focusing on in-depth TM1 tips and techniques.

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Click  to  edit  Master  sub1tle  style  

9/2/09  

Cognos® TM1 for Advanced Users

November 12th, 2009

Sanjeev Datta Consultant for PerformanceG2

Click  to  edit  Master  sub1tle  style  

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/

9/2/09  

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

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Table Manager (TM) 1 versus Transformer

Online Analytical Processing (OLAP) Cubes

Slice and Dice

Top Down View

Sort and Filter

Rotate and Nest

MDX

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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  ODBC/ODBO,  SAP,  Other  Cubes  etc.  

Merge  Data  from  flat  files,  OLAP  Dims  

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Time Dimension

TM1 treats Time Dimension as any other Dimension

Single Time Dimension Multiple Time Dimension

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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

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Demo 1 - Drill Through

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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

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Advanced Rules

SKIPCHECK;

Turns off Sparsity Algorithm

FEEDERS;

[Area]=>feeder statement;

Identifies cells containing calculations

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Demo 2 - Rules

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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

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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  

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Demo 3 – Data Spreading

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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

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Demo 4 – Executive Viewer

9/2/09  

Q&A Session

info@performanceg2.com

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/

9/2/09  

Thank your for attending our Webinar!

info@performanceg2.com