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© 2010 IBM Corporation
Business Analytics on System z – Capacity Management Solution
Dave Jeffries - WW Business Analytics on System z
© 2010 IBM Corporation
Business Analytics
Agenda
Introduction
The Solution
The Value
Questions/Next Steps
© 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 vendor’s 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 don’t use any tools/automation and feel we should.
© 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 **
© 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 X’s IT & Business Strategy
© 2010 IBM Corporation
Business Analytics
Customer X Capacity Management Today
CA-MICS
© 2010 IBM Corporation
Business Analytics
Agenda
Introduction
The Solution
The Value
Questions/Next Steps
© 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
© 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
© 2010 IBM Corporation
Business Analytics
IBM Capacity Management for System z
SPSS Statistics 19Predictive analytics
& Modeling
IBM Cognos 10On-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 z z/OS
© 2010 IBM Corporation
Business Analytics
Customer X Capacity Management Proposed Solution
SPSSPredictive Analytics
© 2010 IBM Corporation
Business Analytics
User/customer receives email
notification of new report
Robust and flexible reporting giving greater reporting insight.
© 2010 IBM Corporation
Business Analytics
Multiple prompts to allow User/Customer to select what
information they want to display
© 2010 IBM Corporation
Business Analytics
Information is interactive and Users/Customers can drill down by
clicking on a data element
© 2010 IBM Corporation
Business Analytics
Clicking on the MVSB gauge has opened a tabular report providing more information on that particular
system
© 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
© 2010 IBM Corporation
Business Analytics
Agenda
Introduction
The Solution
The Value
Questions/Next Steps
© 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
© 2010 IBM Corporation
Business Analytics
19
What’s 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
© 2010 IBM Corporation
Business Analytics
20
Evaluation - Action plan
Demonstration to you and your team
Executive presentation
TCO analysis
Proposal
Proof of Concept
© 2010 IBM Corporation
Business Analytics
Agenda
Introduction
The Solution
The Value
Questions/Next Steps
© 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 [email protected]