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
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Business Analytics
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
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Business Analytics
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
System Z
zOS
SMF
Sources
SMF
Sources
MXG Utilities
SAS Components
RACF
SMF DASD
MXG Parser
RMF
MXG Filter
MXG-Data
Preparation
User
SAS
Data Set
SAS-Base
SMF TAPE
Other
SAS-Reporting
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
Monthly
Processor
Utilization
z/OS System
Utilization
Leading edge
infrastructure
Effective Cost
Control and
Management
Predictable
Planning for
Growth
The services to
get started right
away
Capacity
Management
Reports
Industry leading
solutions
IBM Cognos 10
On-demand Reporting
Complete
Investment
Protection
Forecasting
Reports
Support
Emerging
Trends
HIstorical Data
Conversions
SPSS Statistics 19
Predictive analytics
& Modeling
Tivoli Decision Support z/OS
DB2 z/OS
Linux for System z
System z
z/OS
© 2010 IBM Corporation
Business Analytics
Customer X Capacity Management Proposed Solution
System Z
zLinux
SPSS
SPSS
Predictive
Statistics
Analytics
zOS
SMF
Sources
SMF
Sources
StatsReporting
DB2
TDSz Parser
RACF
StatsAnalytics
SMF DASD
TDSz Filter
RMF
DB2 Data
Preparation
SMF TAPE
DB2
Cognos
Reporting
User
TDSz Data
Preparation
Other
TDSz
Cubing
Reporting
&
Analysis
© 2010 IBM Corporation
Business Analytics
Robust and flexible reporting giving greater reporting insight.
User/customer
receives email
notification of new
report
© 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:
System Z
zLinux
Analytics and Reporting Services
SPSS Predictive
Analytics
SPSS
Statistics
Server
Cognos
StatsAnalytics
StatsReporting
Cognos BI
z/VM
Capacity
Planning
– 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
zOS
DB2
TDSz Parser
 Simplified Stack deliverable with:
TDSz Filter
DB2 Data
Preparation
TDSz Data
Preparation
TDSz
DB2
– 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
© 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
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Business Analytics
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
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0
Business Analytics
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
2
2
Business Analytics
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
For additional information please contact
zcognos@us.ibm.com
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
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© 2010 IBM Corporation