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IBM Cognos TM1 V10: New Innovations for Planning, Analysis, Forecasting

Discover the new features and improvements in IBM Cognos TM1 V10, including goal achievement, self-service capabilities, and improved solution design environment. This solution spans a broad range of performance management challenges and offers fast and easy modeling for increased user productivity. Empower more users to model and reduce time to value with simple application deployment options. Take insight into action with Cognos Insight and integrate with IBM's Business Analytics portfolio for advanced analytics and risk analysis. Experience the proven analytics engine of TM1 with improved performance and scalability.

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IBM Cognos TM1 V10: New Innovations for Planning, Analysis, Forecasting

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  1. IBM COGNOS TM1 V10 New Innovations for Planning, Analysis, Forecasting with IBM Cognos 10

  2. The 2011 BI Survey 10 ranked IBM Cognos TM1 … • Goal achievement • Self-service • Suitability • Goal achievement • Self-service The Planning Peer GroupBARC BI Survey 10 The Database Peer GroupBARC BI Survey 10 Cognos TM1 10 PART OF COGNOS ENTERPRISE • Improved, flexible solution design environment • Easily spans analytics and planning requirements • Unrivaled performance at high user and data scale

  3. Cognos Enterprise Performance Management:A Revolution with TM1 10 Performance Reporting and Scorecarding New: Prototyping Analytics Customer Service HumanResources Product Development Marketing Sales Operations Finance IT Enterprise Planning and Analysis Profitability Modeling Expense Planning & Control Workforce Planning Capital Planning Strategic Finance New Solution Design & Deployment High Performance Platform

  4. Flexible Solution Design Environment • Simplifies design for performance management solutions • Empowers MORE planning application development, more prototyping • Easily wires Cognos Insight “personal analysis” into enterprise solutions • Spans Address Broad Range of Performance Management Challenges

  5. Fast, Easy Modeling • Guided modeling steps • define dimensions • build cubes • define rules • easy linking paradigm • Widespread use of drag and drop and visual composition • Easy transfer of applications from development to test to production environments Empowering more users to model, reduced time to value

  6. Simple Application Deployment • Support for multiple application types, clients and connections • Workflow/Non-Workflow • Approval Hierarchy/Continuous • Client support • Web, Contributor, Cognos Insight • Connection modes • Centralized or Distributed • Application Deployment • Development or Production • Cognos Connection or 3rd Party Portal Distributed Cognos TM1 Server Centralized Cognos TM1 Server Unrivaled flexibility and performance at high user and data scale

  7. Takes insight into action with Cognos Insight • Users work with their data of choice, on their desktop, without IT • Discover trends and explore scenarios via speed-of-thought interactions • Share findings & results within a workgroup or throughout the enterprise New Users Connected to PM Processes

  8. New, visually rich and interactive “canvas” for smarter contribution • Analyze • Prototype situations, plans • Work with existing or pull in new data • Perform what-if scenarios, associative analysis, profitability analysis • Customize views and “explore points” • Prototype a plan • Create new version, shortcuts, views, charts • Create or add to dashboards • Add Instructions • Share and / or Initiate new workflow • Promote insights in a tailored dashboard • Collect new information via workflow Foundation of an agile planning and analytic platform

  9. HumanResources Customer Service Product Development Sales Marketing Operations Finance IT User Experience Flexibility Desktop Excel-Based Managed Collaboration Span All Users and User Experience Needs

  10. Proven Analytics Engine • Distributed Cognos TM1 Server • Improved WAN performance • Better user scale • Built on the high-performance, stable 9.5.2 Server Engine • First-in-line with parallel interaction • More tools to accelerate ETL performance • Multi-server management console Distributed Cognos TM1 Server +20% Contributor performance improvement Delivers Quality, Scale, and Performance

  11. Providing a full range Business Analytics Integration with IBM's Business Analytics Portfolio Advances insight with: • Business Intelligence • Predictive and Advanced Analytics • Risk Analytics

  12. TM1 Ecosystem – Cognos BI with Dynamic Query Mode • The first customer test application had an in-memory footprint of 12GB in Cognos TM1. Testing included both reporting and interactive exploration gestures, focusing on one dimension within the Cognos TM1 cube, comprising 150,000 members. This customer application was developed to manage reporting and analysis for a complex manufacturing environment and included 12 different reports which were run interactively. Figure 1, below, shows the total average report execution times across 12 reports in the complex manufacturing application test suite. Only the first report execution time is measured, as this more closely emulates the “real life” experience of a user running a report once in a given user session. This avoids use of the powerful caching facilities of the Cognos Business Intelligence Platform. The performance of subsequent individual or concurrent report runs would benefit from the use of caching and would therefore show even better performance for subsequent report runs than those shown in this test.

  13. TM1 Ecosystem – Cognos BI with Dynamic Query Mode • In addition to normal reporting use cases, the complex manufacturing application test suite included a series of interactive data exploration gestures. Figure 2, below, shows the total average response times for individual user gestures that would be typical of a user exploring a Cognos TM1 application. Among the gestures shown in Figure 2, gestures 4 through 8 all require a significant amount of processing, and it is these process-heavy gestures that enjoy the greatest performance improvements. The improvement in the performance of gestures 4 through 8 in Figure 2 is directly attributable to the superior query and metadata work planning and advanced interactions with Cognos TM1 9.5.2, inherent to the Cognos Dynamic Query mode.

  14. TM1 Ecosystem – Cognos BI with Dynamic Query Mode • The second customer test application had an in-memory footprint of 18GB in Cognos TM1. Testing included both reporting and interactive exploration gestures. However, this test shows the performance comparison between compatible MDX and Cognos Dynamic Query for an application under a concurrent interactive user load equivalent to the load expected for a population of 30 concurrent users (1 concurrent user = 10 active users = 100 named users). This test case is based upon a customer’s production Sales Reporting application and uses a Cognos TM1 cube that contains 5 dimensions and a possible 9,377,523,949,248 (9.3 trillion) total intersections. Figure 3, below, shows the dimensional and cube characteristics of the Sales Reporting application used for testing Cognos Dynamic Query with Cognos TM1 9.5.2.

  15. TM1 Ecosystem – Cognos BI with Dynamic Query Mode • The test scenarios used for this round of concurrent user testing are typical of any product-driven Sales Reporting application, including the interactive running of pre-defined reports as well as typical user-driven interactive analysis gestures. A large cross-section of reports showing sales by Product, Geography, Time, and Plan, at varying levels of each hierarchy, were used to show the impact of varying data density and aggregation processing on Cognos Dynamic Query performance. • Figure 4 shows the total average execution times across all reports in the Sales application test suite. Only the first report execution time is measured for each concurrent request, as this more closely emulates the “real life” experience of a user running a report once in a given user session. This avoids use of the powerful caching facilities inherent to the Cognos Business Intelligence Platform. The performance of subsequent individual or concurrent report runs would benefit from the use of caching.

  16. TM1 Ecosystem – Data Loads from Netezza to TM1 • Load tests performed in the Boeblingen Lab. Data loads (via ODBC) can be parallelised with almost linear scale per thread. Some overhead was noticed within TM1, but none on Netezza.

  17. Thank you!

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