Cognos Planning v10 and Beyond


                       05/18/2011

                    www.senturus.com


     Helping Companies Learn From the Past, Manage the
1                         Present and Shape the Future
Agenda

    • Introduction
    • Client Cast Study - Trimble Navigation, Moving
      beyond Cognos Enterprise Planning
    • Key differences of earlier versions of Cognos
      Enterprise Planning compared to v10
    • Moving beyond Cognos Enterprise Planning to TM1




2
This slide deck is part of a recorded webinar.
        To view the FREE recording of this entire
      presentation and download the slide deck, go to
                    www.senturus.com/recorded-webinars.php

    You will find this—and many other recorded webinars-- under the “IBM Cognos
                            Enterprise Planning and TM1”




3
Welcome and Introduction

    • Senturus:
       – Chris Fargo, Account Manager
           • 510.473.7096, cfargo@senturus.com
       – Jim Frazier, Vice President of Sales
       – Greg Herrera, CEO


    • Trimble Navigation:
       – Barry Schaeffer, Director of FP&A


    • IBM:
       – Michael Mackevicius, Partner Enablement Manager
       – Jeff Allen, Solutions Specialist – Business Analytics

4
Who is Senturus ?
    •   Consulting firm specializing in Corporate
        Performance Management
         – Business Intelligence and Enterprise Planning
           & Budgeting
         – Platform-independent
         – San Francisco Business Times Hall of Fame --
           Four consecutive years in Fast 100 list of
           fastest-growing private companies in the Bay
           Area

    • Experience
         – 10-year focus on performance management
         – More than 1,000 projects for 450+ clients

    • People
         – Business depth combined with technical
           expertise. Former CFOs, CIOs, Controllers,
           Directors...

5
A few of our 450+ Clients




6
Barry Schaeffer, Director of Financial Planning & Analysis

    CLIENT CASE STUDY -
    TRIMBLE NAVIGATION

7
Financial Planning Systems
                    at Trimble




    Congnos Enterprise Planning v10 and Beyond



8
About Trimble

    Trimble applies technology to make field and mobile workers
       in businesses and government significantly more
       productive. Solutions are focused on applications requiring
       position or location—including surveying, construction,
       agriculture, fleet and asset management, public safety
       and mapping. In addition to utilizing positioning
       technologies, such as GPS, lasers and optics, Trimble
       solutions may include software content specific to the
       needs of the user. Wireless technologies are utilized to
       deliver the solution to the user and to ensure a tight
       coupling of the field and the back office. Founded in 1978,
       Trimble is headquartered in Sunnyvale, Calif.



9
Convergence of Three Technologies


                               Domain specific field app
                                                       sw
         Cellular                 Back office integration
           Radio               Enterprise-wide solutions
       Bluetooth               Internet-hosted solutions
         Satellite
            WiFi              GPS
                              Optical
                              Inertial
                              3-D scanning


10
Trimble Planning Tool History

     • Pre 2006: Hyperion Pillar. File based. Didn’t
       scale
     • Early 2006 replaced with Cognos Planning
        – Head to head with Hyperion Planning
        – Won out based on break back
     • 2007-2010
        – Huge wins with Cognos Planning: ‘a
          modeling tool’
        – Some key disappointments

11
Huge Wins with Cognos Planning

     • Expanded divisional forecasting to:
        – Entity forecasting for tax planning
        – Emerging market forecasting for bus development
        – Long-range planning
     • Replaced many Microsoft Excel/Outlook-centric processes
       with Cognos Planning
        – Profit sharing and management bonus models
        – Accounting/tax/audit/SEC schedules
        – Detailed facilities and IT allocation models
        – Data center/IT cost accounting model
     • All of these significantly reduced man hours yet increased
       accuracy
12
Disappointments

     • Cognos Planning has cell count limitations
        – Not a secret. Cognos Support will tell you this
        – We’ve had to artificially break models into multiple pieces
            more maintenance and processes req’d
     • Elist dimension is an inhibitor
        – Security can only be applied via this one dimension
        – Only one small piece of this dimension’s hierarchy can be
           opened in a cube at a time
        – Processing time impacted by elist dimension size
     • Data flows between applications not real-time
        – Most models require ‘processes’ to be run in order for data
           changes to propagate entire model
13
Solving our Budget Tool Dilemma

     • Due to size, Cognos Planning can no longer handle
       Trimble’s annual bottoms up budget
     • Considering TM1 as a replacement
     • Size/cell count approaches no practical limit
     • All dimensions created equal. Security can be
       applied to any or many. Opening ‘everything at
       once’ a reality
     • Data can be moved real-time throughout all pieces
       of model. And very quickly

14
Cognos Planning Budget Illustration
      Employee
                        Departments                            Departments
B     and
                        and accounts                           and accounts
      headcount
      accounts


  Employee
                        Departments        Allocations         Departments
A and                   and accounts       setup               and accounts         P&L
  headcount
  accounts

    Boxes separated by arrows are non-real time data flows
    Full model requires 8-12 hours of overnight processing
    ‘A’ represents divisional finance user. ‘B’ is functional or local site contributor.
    Require separate ‘slices’


15
TM1 Illustration from Workshop*


                         Allocations
                         setup



      A     Employee     Departments P&L
            and          and accounts
      B     headcount
            accounts

 * Proof of concept workshop conducted April, 2011
 All data moves real time between pieces
 Full model requires zero batch processing
 ‘A’ and ‘B’ users granted access to any piece of model
16
Looking Beyond Fixing the Budget

       Today               Planning                 x    Business
                           Environment                   Intelligence
                                                         Environment

                            Bottoms Up
                                                             Billings
                              Budget
                                                              Data
                                      Planning    Business
       Vision            Forecast,
                        Other plans   Environment Intelligence   GL Data

                                                  Environment
                              Bonus                          HR Data
                               data


 Today:         BI only used against static data owned by ERP or IT
                BI can’t merge real-time planning data with other data
                Planning only handles small sets of non-real time BI data
 Vision:        Bring all data together regardless of size
                Improved efficiency, analytics, accuracy, decision time


17
This slide deck is part of a recorded webinar.
         To view the FREE recording of this entire
       presentation and download the slide deck, go to
                     www.senturus.com/recorded-webinars.php

     You will find this—and many other recorded webinars-- under the “IBM Cognos
                             Enterprise Planning and TM1”




18
Presented by Michael Mackevicius, IBM

     WHAT’S NEW IN COGNOS
     PLANNING VERSION 10?

19
Increased User Controls and Flexibility
                                User Controlled
                                 Nesting
                                  Cube
                                  Model
                                User defined Cube
                                 Order
                                User defined Views
                                Support for Word Wrap
                                Date Picker
                                Support for Hierarchies
                                Zoom
                                Freeze Panes
                                Sorting & Hiding


20
All BiFs supported in Contributor

      • @DCF           •   @NPer
      • @DelayDebt     •   @Outlook
      • @Delay         •   @PMT
        Stock          •   @Proportion
      • @Drive         •   @PV
      • @FV            •   @Rate
      • @ICF           •   @SeasonLite
      • @Lease         •   @StockflowAF
      • @Lease         •   @Tier
        Variable       •   @Time (All Methods NOW
      • @MovAvg            Supported)
      • @MovMed
      • @MovSum

21
Easier to Maintain & Deploy Enterprise-wide,
     Improved Publish & Deployment Options

• Table and View Publish             • New client is built in
   – Index Management                  Java using Eclipse
                                     • No reliance on Active X
   – Bulk Load Tool Optimizations      Controls
• Incremental Publish                   – Tree and Grid
   – Handles e-list or d-list change • No Com Registration – a
                                       manifest is used
      • Except Dimension for Publish
      • Level Change
   – Job_Begin should be a lot faster



22
IBM Cognos Planning 10, IBM Cognos Planning
     10 provides:
• Significant scalability and performance
  improvements
• Better use of computer hardware
  resources
• Improved reconcile performance and
  workload management
• Lower and more predictable storage
  volumes and improved job system
  resilience
• Optimized publish processes and
  optimized data types
• Conformance with IBM Cognos Business
  Intelligence 10.1




23
IBM Cognos Planning v 10, IBM Cognos
     Planning Contributor improvements

• Provisioning is improved so that you can now
  have automatic updates of rich client
  components from a secured Web server.
• You can now see the sum of values
  contained in cells that you select.
• Significant performance improvements on
  the Workflow page.
• Significant performance improvements in the
  grid for large models with sparse access,
  applications with long e-lists, and complex
  models with many links targeting individual
  cubes.




24
IBM Cognos Planning v 10, Macro system
     improvements

• Running macros in parallel is supported and
  can improve the use of server resources.
• Starting or restarting a macro at a specific
  step.
• New Model Doctor macro that configures
  and runs the Contributor Model Review Tool
  as a macro step. The output of the Model
  Doctor macro is an HTML report containing a
  list of certain noteworthy attributes of the
  model it was run against.




25
IBM Cognos Planning v 10, IBM Cognos
     Planning, Contributor Administration Console
     improvements
     • Previewing nodes are now
       supported.
     • Access blocks replace and improve
       upon cut-down models.
     • The process of creating and
       updating packages as part of the
       Go to Production process now
       runs using the Scheduler
       Credentials account.




26
IBM Cognos Planning v 10, IBM Cognos
     Planning, Engine and runtime improvements
     • New lighter runtime model definition which
       decreases download times.
     • Controlling node access improved.
     • Cache management in Planning Service
       improved, and as a result, the memory
       footprint for the Planning Server is reduced.
     • The Planning Service can now be run as a
       non-administrative account or as a network
       service account, which allows increased
       security on computers running IBM Cognos
       Planning.
     • Aggregating data more efficiently, which
       results in the reduction of memory used and
       provides better compression of the data
       during the Reconcile - Data aggregation
       phase.

27
IBM Cognos Planning v 10, IBM Cognos
     Planning
• Publishing and database improvements
         – Annotations and Attached Document
      tables do not use a dimension for publish
      – New views added to the Publish Tables
                                        schema
        – Uses more efficient data types in IBM
                                    DB2 for text
• Job system improvements
     – Processes multiple jobs more efficiently
              as they reach the Job_End phase
       – Automatically retrys job items that fail
           – Switches jobs with more efficiency


28
IBM Cognos Planning v TM1, Sparsity.

 • Consider this simple two Dimensional Cube to illustrate the point


                 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Total Q1 Q2 Q3 Q4
 Product A
 Product B
 Product C                                  Time dimension – 12 Months and 4 Totals

 Total Product

                              Product Dimension – 3 Products and 1 Total


                              Total Leaf Level Cells = 3x12 = 36
                               Total Potential Cells = 4x16 = 64

                        Scenario               Analyst                     TM1
                   1 Cell Populated               64                        1
                   2 Cells Populated              64                        2
                   All Leaf Cells                 64                       36
                   Populated

29
Contributor Distributed Architecture
                  Server                                                     End User PC


                                                                             IE Browser / ActiveX
     XML Blobs
     containing
      data and
     meta data
                                                                             Contributor Template




                                                  XML Blob is
                                             downloaded to PC and
                                             rendered in memory of
                                             PC to be accessed by
                                               user via IE/ActiveX


                               1. Model Size limited by memory on PC
                               2. Requires ActiveX download – not ideal in
          XML Blobs are
                                  locked down IT environments
          updated during GTP
          process              3. Can only view parent and children (not
                                  multi-levels)
                               4. Multi-node views limited by memory
                                  (parent and children)
30
This slide deck is part of a recorded webinar.
         To view the FREE recording of this entire
       presentation and download the slide deck, go to
                     www.senturus.com/recorded-webinars.php

     You will find this—and many other recorded webinars-- under the “IBM Cognos
                             Enterprise Planning and TM1”




31
Product Differences as related to IBM Cognos Planning

     IBM COGNOS TM1


32
TM1 Scalability
• TM1 is a 64 bit application (versus 32 bit for EP)
• TM1 handles Sparsity (EP does not)
   – Only allocates memory for non-zero cells
   – Only allocates memory for leaf level cells
• All data remains on the server (no client downloads)
• All metadata is maintained and held centrally
   – Changes are immediately available
• Load Data directly into the Cube
   – Data is immediately available once loaded
• All data is immediately available for reporting and Excel


33
Dimensions
• TM1 has allows multiple aliases and attributes
   – The Account Dimension in TM1-101 would require at least 5 d-lists in
     EP
      • Code and Description
      • Code Only
      • Data Entry Subset
      • Analysis Subset
      • Default Subset
• TM1 Allows alternative hierarchies
• TM1 has a ‘graphical’ hierarchy manager
• TM1 allows subsets on the same dimension
• TM1 allows security against any dimension in the model (EP only allows
  on workflow dimension)


34
Leveraging Senturus’ Experience

     • Contact Chris Fargo to line up a no-
       charge Planning Product Strategy
       assessment for existing Cognos
       Planning clients
       – Does it make sense in your situation to:
          • Stay with status quo?
          • Upgrade to IBM Cognos Planning 10?
          • Upgrade to IBM Cognos TM1?
          • Other?
     • Chris Fargo   510.473.7096 cfargo@senturus.com

35
This slide deck is part of a recorded webinar.
         To view the FREE recording of this entire
       presentation and download the slide deck, go to
                     www.senturus.com/recorded-webinars.php

     You will find this—and many other recorded webinars-- under the “IBM Cognos
                             Enterprise Planning and TM1”




36
Contact Senturus



                   Senturus, Inc
                www.senturus.com
               sales@senturus.com
                   888-601-6010




37
38
38        38

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IBM Cognos Planning: V10 and Beyond

  • 1. Cognos Planning v10 and Beyond 05/18/2011 www.senturus.com Helping Companies Learn From the Past, Manage the 1 Present and Shape the Future
  • 2. Agenda • Introduction • Client Cast Study - Trimble Navigation, Moving beyond Cognos Enterprise Planning • Key differences of earlier versions of Cognos Enterprise Planning compared to v10 • Moving beyond Cognos Enterprise Planning to TM1 2
  • 3. This slide deck is part of a recorded webinar. To view the FREE recording of this entire presentation and download the slide deck, go to www.senturus.com/recorded-webinars.php You will find this—and many other recorded webinars-- under the “IBM Cognos Enterprise Planning and TM1” 3
  • 4. Welcome and Introduction • Senturus: – Chris Fargo, Account Manager • 510.473.7096, cfargo@senturus.com – Jim Frazier, Vice President of Sales – Greg Herrera, CEO • Trimble Navigation: – Barry Schaeffer, Director of FP&A • IBM: – Michael Mackevicius, Partner Enablement Manager – Jeff Allen, Solutions Specialist – Business Analytics 4
  • 5. Who is Senturus ? • Consulting firm specializing in Corporate Performance Management – Business Intelligence and Enterprise Planning & Budgeting – Platform-independent – San Francisco Business Times Hall of Fame -- Four consecutive years in Fast 100 list of fastest-growing private companies in the Bay Area • Experience – 10-year focus on performance management – More than 1,000 projects for 450+ clients • People – Business depth combined with technical expertise. Former CFOs, CIOs, Controllers, Directors... 5
  • 6. A few of our 450+ Clients 6
  • 7. Barry Schaeffer, Director of Financial Planning & Analysis CLIENT CASE STUDY - TRIMBLE NAVIGATION 7
  • 8. Financial Planning Systems at Trimble Congnos Enterprise Planning v10 and Beyond 8
  • 9. About Trimble Trimble applies technology to make field and mobile workers in businesses and government significantly more productive. Solutions are focused on applications requiring position or location—including surveying, construction, agriculture, fleet and asset management, public safety and mapping. In addition to utilizing positioning technologies, such as GPS, lasers and optics, Trimble solutions may include software content specific to the needs of the user. Wireless technologies are utilized to deliver the solution to the user and to ensure a tight coupling of the field and the back office. Founded in 1978, Trimble is headquartered in Sunnyvale, Calif. 9
  • 10. Convergence of Three Technologies Domain specific field app sw Cellular Back office integration Radio Enterprise-wide solutions Bluetooth Internet-hosted solutions Satellite WiFi GPS Optical Inertial 3-D scanning 10
  • 11. Trimble Planning Tool History • Pre 2006: Hyperion Pillar. File based. Didn’t scale • Early 2006 replaced with Cognos Planning – Head to head with Hyperion Planning – Won out based on break back • 2007-2010 – Huge wins with Cognos Planning: ‘a modeling tool’ – Some key disappointments 11
  • 12. Huge Wins with Cognos Planning • Expanded divisional forecasting to: – Entity forecasting for tax planning – Emerging market forecasting for bus development – Long-range planning • Replaced many Microsoft Excel/Outlook-centric processes with Cognos Planning – Profit sharing and management bonus models – Accounting/tax/audit/SEC schedules – Detailed facilities and IT allocation models – Data center/IT cost accounting model • All of these significantly reduced man hours yet increased accuracy 12
  • 13. Disappointments • Cognos Planning has cell count limitations – Not a secret. Cognos Support will tell you this – We’ve had to artificially break models into multiple pieces  more maintenance and processes req’d • Elist dimension is an inhibitor – Security can only be applied via this one dimension – Only one small piece of this dimension’s hierarchy can be opened in a cube at a time – Processing time impacted by elist dimension size • Data flows between applications not real-time – Most models require ‘processes’ to be run in order for data changes to propagate entire model 13
  • 14. Solving our Budget Tool Dilemma • Due to size, Cognos Planning can no longer handle Trimble’s annual bottoms up budget • Considering TM1 as a replacement • Size/cell count approaches no practical limit • All dimensions created equal. Security can be applied to any or many. Opening ‘everything at once’ a reality • Data can be moved real-time throughout all pieces of model. And very quickly 14
  • 15. Cognos Planning Budget Illustration Employee Departments Departments B and and accounts and accounts headcount accounts Employee Departments Allocations Departments A and and accounts setup and accounts P&L headcount accounts Boxes separated by arrows are non-real time data flows Full model requires 8-12 hours of overnight processing ‘A’ represents divisional finance user. ‘B’ is functional or local site contributor. Require separate ‘slices’ 15
  • 16. TM1 Illustration from Workshop* Allocations setup A Employee Departments P&L and and accounts B headcount accounts * Proof of concept workshop conducted April, 2011 All data moves real time between pieces Full model requires zero batch processing ‘A’ and ‘B’ users granted access to any piece of model 16
  • 17. Looking Beyond Fixing the Budget Today Planning x Business Environment Intelligence Environment Bottoms Up Billings Budget Data Planning Business Vision Forecast, Other plans Environment Intelligence GL Data Environment Bonus HR Data data Today: BI only used against static data owned by ERP or IT BI can’t merge real-time planning data with other data Planning only handles small sets of non-real time BI data Vision: Bring all data together regardless of size Improved efficiency, analytics, accuracy, decision time 17
  • 18. This slide deck is part of a recorded webinar. To view the FREE recording of this entire presentation and download the slide deck, go to www.senturus.com/recorded-webinars.php You will find this—and many other recorded webinars-- under the “IBM Cognos Enterprise Planning and TM1” 18
  • 19. Presented by Michael Mackevicius, IBM WHAT’S NEW IN COGNOS PLANNING VERSION 10? 19
  • 20. Increased User Controls and Flexibility User Controlled Nesting Cube Model User defined Cube Order User defined Views Support for Word Wrap Date Picker Support for Hierarchies Zoom Freeze Panes Sorting & Hiding 20
  • 21. All BiFs supported in Contributor • @DCF • @NPer • @DelayDebt • @Outlook • @Delay • @PMT Stock • @Proportion • @Drive • @PV • @FV • @Rate • @ICF • @SeasonLite • @Lease • @StockflowAF • @Lease • @Tier Variable • @Time (All Methods NOW • @MovAvg Supported) • @MovMed • @MovSum 21
  • 22. Easier to Maintain & Deploy Enterprise-wide, Improved Publish & Deployment Options • Table and View Publish • New client is built in – Index Management Java using Eclipse • No reliance on Active X – Bulk Load Tool Optimizations Controls • Incremental Publish – Tree and Grid – Handles e-list or d-list change • No Com Registration – a manifest is used • Except Dimension for Publish • Level Change – Job_Begin should be a lot faster 22
  • 23. IBM Cognos Planning 10, IBM Cognos Planning 10 provides: • Significant scalability and performance improvements • Better use of computer hardware resources • Improved reconcile performance and workload management • Lower and more predictable storage volumes and improved job system resilience • Optimized publish processes and optimized data types • Conformance with IBM Cognos Business Intelligence 10.1 23
  • 24. IBM Cognos Planning v 10, IBM Cognos Planning Contributor improvements • Provisioning is improved so that you can now have automatic updates of rich client components from a secured Web server. • You can now see the sum of values contained in cells that you select. • Significant performance improvements on the Workflow page. • Significant performance improvements in the grid for large models with sparse access, applications with long e-lists, and complex models with many links targeting individual cubes. 24
  • 25. IBM Cognos Planning v 10, Macro system improvements • Running macros in parallel is supported and can improve the use of server resources. • Starting or restarting a macro at a specific step. • New Model Doctor macro that configures and runs the Contributor Model Review Tool as a macro step. The output of the Model Doctor macro is an HTML report containing a list of certain noteworthy attributes of the model it was run against. 25
  • 26. IBM Cognos Planning v 10, IBM Cognos Planning, Contributor Administration Console improvements • Previewing nodes are now supported. • Access blocks replace and improve upon cut-down models. • The process of creating and updating packages as part of the Go to Production process now runs using the Scheduler Credentials account. 26
  • 27. IBM Cognos Planning v 10, IBM Cognos Planning, Engine and runtime improvements • New lighter runtime model definition which decreases download times. • Controlling node access improved. • Cache management in Planning Service improved, and as a result, the memory footprint for the Planning Server is reduced. • The Planning Service can now be run as a non-administrative account or as a network service account, which allows increased security on computers running IBM Cognos Planning. • Aggregating data more efficiently, which results in the reduction of memory used and provides better compression of the data during the Reconcile - Data aggregation phase. 27
  • 28. IBM Cognos Planning v 10, IBM Cognos Planning • Publishing and database improvements – Annotations and Attached Document tables do not use a dimension for publish – New views added to the Publish Tables schema – Uses more efficient data types in IBM DB2 for text • Job system improvements – Processes multiple jobs more efficiently as they reach the Job_End phase – Automatically retrys job items that fail – Switches jobs with more efficiency 28
  • 29. IBM Cognos Planning v TM1, Sparsity. • Consider this simple two Dimensional Cube to illustrate the point Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Total Q1 Q2 Q3 Q4 Product A Product B Product C Time dimension – 12 Months and 4 Totals Total Product Product Dimension – 3 Products and 1 Total Total Leaf Level Cells = 3x12 = 36 Total Potential Cells = 4x16 = 64 Scenario Analyst TM1 1 Cell Populated 64 1 2 Cells Populated 64 2 All Leaf Cells 64 36 Populated 29
  • 30. Contributor Distributed Architecture Server End User PC IE Browser / ActiveX XML Blobs containing data and meta data Contributor Template XML Blob is downloaded to PC and rendered in memory of PC to be accessed by user via IE/ActiveX 1. Model Size limited by memory on PC 2. Requires ActiveX download – not ideal in XML Blobs are locked down IT environments updated during GTP process 3. Can only view parent and children (not multi-levels) 4. Multi-node views limited by memory (parent and children) 30
  • 31. This slide deck is part of a recorded webinar. To view the FREE recording of this entire presentation and download the slide deck, go to www.senturus.com/recorded-webinars.php You will find this—and many other recorded webinars-- under the “IBM Cognos Enterprise Planning and TM1” 31
  • 32. Product Differences as related to IBM Cognos Planning IBM COGNOS TM1 32
  • 33. TM1 Scalability • TM1 is a 64 bit application (versus 32 bit for EP) • TM1 handles Sparsity (EP does not) – Only allocates memory for non-zero cells – Only allocates memory for leaf level cells • All data remains on the server (no client downloads) • All metadata is maintained and held centrally – Changes are immediately available • Load Data directly into the Cube – Data is immediately available once loaded • All data is immediately available for reporting and Excel 33
  • 34. Dimensions • TM1 has allows multiple aliases and attributes – The Account Dimension in TM1-101 would require at least 5 d-lists in EP • Code and Description • Code Only • Data Entry Subset • Analysis Subset • Default Subset • TM1 Allows alternative hierarchies • TM1 has a ‘graphical’ hierarchy manager • TM1 allows subsets on the same dimension • TM1 allows security against any dimension in the model (EP only allows on workflow dimension) 34
  • 35. Leveraging Senturus’ Experience • Contact Chris Fargo to line up a no- charge Planning Product Strategy assessment for existing Cognos Planning clients – Does it make sense in your situation to: • Stay with status quo? • Upgrade to IBM Cognos Planning 10? • Upgrade to IBM Cognos TM1? • Other? • Chris Fargo 510.473.7096 cfargo@senturus.com 35
  • 36. This slide deck is part of a recorded webinar. To view the FREE recording of this entire presentation and download the slide deck, go to www.senturus.com/recorded-webinars.php You will find this—and many other recorded webinars-- under the “IBM Cognos Enterprise Planning and TM1” 36
  • 37. Contact Senturus Senturus, Inc www.senturus.com sales@senturus.com 888-601-6010 37
  • 38. 38 38 38