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

© 2010 IBM Corporation

Business Analytics on System z – Capacity Management Solution

Dave Jeffries - WW Business Analytics on System z


Business Analytics

Agenda

Introduction

The Solution

The Value

Questions/Next Steps


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.


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 **


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


Business Analytics

Customer X Capacity Management Today

CA-MICS


Business Analytics

Agenda

Introduction

The Solution

The Value



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


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


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


Business Analytics

Customer X Capacity Management Proposed Solution

SPSSPredictive Analytics


Business Analytics

User/customer receives email

notification of new report

Robust and flexible reporting giving greater reporting insight.


Business Analytics

Multiple prompts to allow User/Customer to select what

information they want to display


Business Analytics

Information is interactive and Users/Customers can drill down by

clicking on a data element


Business Analytics

Clicking on the MVSB gauge has opened a tabular report providing more information on that particular

system


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


Business Analytics

Agenda

Introduction

The Solution

The Value



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


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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


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20

Evaluation - Action plan

Demonstration to you and your team

Executive presentation

TCO analysis

Proposal

Proof of Concept


Business Analytics

Agenda

Introduction

The Solution

The Value



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]

Documents

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