1. © 2010 IBM Corporation Business Analytics on System z – Capacity Management Solution Dave Jeffries - WW Business Analytics on System z

2. © 2010 IBM Corporation Business Analytics Agenda Introduction The Solution The Value Questions/Next Steps

3. © 2010 IBM Corporation Business Analytics 3 What is your capability to plan? We have a firm grasp on our growth projections and use a tool to manage and monitor our existing capacity & growth. We have a reasonable idea of our growth and yet believe we could do more. We are using a vendors tool to monitor our current situation but would like to be better prepared. We are concerned about our current future capacity planning methodology as we intend to grow our use of the mainframe and need better guidance and predictability. We are using SAS/MXG and are looking for a replacement at a lower cost and with newer function. We dont use any tools/automation and feel we should.

4. © 2010 IBM Corporation Business Analytics 4 Changing your vision The IBM solution is intended to create a better vision for the enterprise customer including the ability to predict where you will be or might go if you had different scenarios to test. It is intended to match as many of the existing SAS/MXG functions and features as possible in Release 1 and will be enhanced over time. Rather than compare feature for feature, think in terms of what you will be able to do over time with less cost and greater flexibility. The IBM solution is not intended to be a full SAS replacement option; that will require significantly more resources and services though it can be done if you so desire. ** Internal Use Only **

5. © 2010 IBM Corporation Business Analytics Introduction Customer X is seeking an alternative to its current capacity management solution. An alternative solution should: –Meet or exceed the capabilities of the current environment. –Provide a cost effective approach. –Be extensible and grow in accordance with Customer Xs IT & Business Strategy

6. © 2010 IBM Corporation Business Analytics Customer X Capacity Management Today CA-MICS

7. © 2010 IBM Corporation Business Analytics Agenda Introduction The Solution The Value Questions/Next Steps

8. © 2010 IBM Corporation Business Analytics IBM Capacity Management for System z Effective cost control and management Determine & monitor production capacity System utilization Operating System & sub systems Monitor application usage Charge backs Maintain service level agreements Predictable planning for growth What if scenario modeling Impact of Application standardization Server consolidation Upgrade predictability Incremental application growth Facilitate orderly growth Support emerging trends Enterprise Cloud Computing Predict the impacts of User On-boarding Business Analytics solution management

9. © 2010 IBM Corporation Business Analytics Capacity Management Solution – More Detail IBM solution involves four parts: –An extractor to read, parse, and rationalize the SMF data to replace SAS/MXG (MICS) –A repository to hold the normalized data to replace SAS data sets –A reporting engine to replace the current SAS programmed reports. –Simulation and analytics engines to (1) optimize performance level and (2) understand causal factors impacting performance at the application level. Those parts will be satisfied as follows: –Tivoli Decision Support for system Z (TDSz) will read, normalize, and store the data –DB2 on zOS (DB2) will serve as the repository for the data –Cognos 10 Business Intelligence, (C10BI), reporting engine will be the reporting platform –SPSS Statistics and Modeler will perform predictive analytics at the application level and integrate with Cognos 10 BI. –Pre-built standard reports –Solution package will include all the pieces necessary to build a reporting infrastructure across the managed environment Optional: –Services to install, configure and build additional reports –Migrate the customer from the current solution and preserve existing information

10. © 2010 IBM Corporation Business Analytics IBM Capacity Management for System z SPSS Statistics 19 Predictive analytics & Modeling IBM Cognos 10 On-demand Reporting System z HIstorical Data Conversions Forecasting Reports Capacity Management Reports Support Emerging Trends Predictable Planning for Growth Effective Cost Control and Management Tivoli Decision Support z/OS DB2 z/OS Industry leading solutions Leading edge infrastructure The services to get started right away Complete Investment Protection z/OS System Utilization Monthly Processor Utilization Linux for System zz/OS

11. © 2010 IBM Corporation Business Analytics Customer X Capacity Management Proposed Solution SPSS Predictive Analytics

12. © 2010 IBM Corporation Business Analytics User/customer receives email notification of new report Robust and flexible reporting giving greater reporting insight.

13. © 2010 IBM Corporation Business Analytics Multiple prompts to allow User/Customer to select what information they want to display

14. © 2010 IBM Corporation Business Analytics Information is interactive and Users/Customers can drill down by clicking on a data element

15. © 2010 IBM Corporation Business Analytics Clicking on the MVSB gauge has opened a tabular report providing more information on that particular system

16. © 2010 IBM Corporation Business Analytics Business Analytics – Extending the Capacity Management solution Providing Extended Insight and value with: –Integrate Cognos Real Time Monitoring Providing the ability to stream real time DB2 and SPSS data into live dashboards Feeds into budgeting with: –Expand your chargeback capabilities with Tivoli Usage and Accounting Manager Providing integrated report on chargeback Simplified Stack deliverable with: –IBM Smart Analytics System 9600 pre-built hardware and software stack Extend predictive analytics to other areas of the business: –Customer Sentiment –Fraud and Risk SPSS Predictive Analytics

17. © 2010 IBM Corporation Business Analytics Agenda Introduction The Solution The Value Questions/Next Steps

18. © 2010 IBM Corporation Business Analytics The Solution Value to Customer X Lower Total Cost of Ownership for Capacity Management –Leveraging products and capacity you may already have More Flexible Reporting and Analytical Environment –Using standardized, compliant and secure tools Leverage Predictive/Forecasting Analytics for Deeper Insight and More Optimal Planning. –Gain better insight of your resources –Plan for the future based on historical performance –Understand the what-if scenarios as your business grows –Manage SLAs more closely –Balance workload based on business targets

19. © 2010 IBM Corporation Business Analytics 19 Whats in it for you… Greater insight and predictability Lower cost Standard IBM software with wide range of applicability beyond capacity planning DB2 for z/OS Tivoli Decision Support Cognos SPSS Input into future enhancements from IBM

20. © 2010 IBM Corporation Business Analytics 20 Evaluation - Action plan Demonstration to you and your team Executive presentation TCO analysis Proposal Proof of Concept

21. © 2010 IBM Corporation Business Analytics Agenda Introduction The Solution The Value Questions/Next Steps

22. © 2010 IBM Corporation Business Analytics 22 22 Typical Utilization for Servers Windows: 5-10% Unix: 10-20% System z: 85-100% System z can help reduce your floor space up to 75%-85% in the data center System z can lower your total cost of ownership, requiring as little as 30% of the power of a distributed server farm running equivalent workloads The cost of storage is typically three times more in distributed environments For additional information please contact zcognos@us.ibm.com