leveraging system z to turn information into insight

Leveraging System z to Turn Information into Insight

Arvind KrishnaGeneral Manager, IBM Information Management Software03/23/2011

2© 2011 IBM2

Smarter Computing: System z Analyst Summit

DB2 10 for z/OSFastest selling upgrade in 20 years!

• Largest beta ever

• Incredible demand from the start

• EVERY beta client moving to production

• JP Morgan Chase is already in production on DB2 10

3© 2011 IBM3


IMS 11 Runs 3.6 Billion Transactions Daily

• 3.6 billion transactions running daily on IMS 11! –Just 15 months since it has been GA

• 15 times the number of IMS 11 transactions from a year ago.

• IMS Tools had it largest sales year ever

• Major corporations moved to IBM IMS Tools over the competition

4© 2011 IBM4


System z MomentumDatabase Consolidation The Central Bank of Russia will migrate all their Oracle applications from Unix to DB2 for z/OS. DB2 for z/OS & Tools proved more scalable with a lower operating cost.

Adding a DB2 for z/OS–Powered Warehouse•Florida Hospital added DB2 VUE to power their next generation Data Warehouse. Phase #2 will add the Smart Analytics Optimizer & Cognos BI

System z Application Patterns Strategy Paying Off•Ford is saving over $2M yearly locating enterprise applications as close to the data as possible, with the fewest integration points

Moving to DB2 on z for Data Warehousing•Mortgage Guaranty Insurance Corporation (MGIC) turned off their Oracle data warehouse and saw improved information availability and timeliness

5© 2011 IBM5


Information is at the Center Of a New Wave of Opportunity…

2009800,000 petabytes

202035 zettabytes

as much Data and ContentOver Coming Decade

44x

Sources:• The Guardian, May 2010• IDC Digital Universe, 2010• IBM Institute for Business Value, 2009• IBM CIO Study 2010• TDWI: Next Generation Data Warehouse Platforms Q4 2009

Business leaders frequently make decisions based on information they don’t trust, or don’t have

1 in3

83%of CIOs cited “Business intelligence and analytics” as part of their visionary plansto enhance competitiveness

Business leaders say they don’t have access to the information they need to do their jobs1 in2

of CEOs need to do a better job capturing and understanding information rapidly in order to make swift business decisions60%

… And Organizations Need Deeper Insights

6© 2011 IBM6


6

Your Operational Information is the Starting Point…IBM Business Analytics and Data Warehousing

on System z

6

7© 2011 IBM7


End-to-end Business Analytics & Data Warehousing SolutionDelivered on a single platform

InfoSphere WarehouseSmart Analytics Optimizer

Cubing ServicesCubing Services

Cognos BISPSS Predictive Analytics

ELTELTOperational Source Systems - Structured & Unstructured Data

Data Data WarehouseWarehouse

Flexible deployment optionsSmart Analytics System 9600, Cloud Computing, IBM Services

DB2 for z/OS VUE DB2 Utilities Suite

PowercubePowercubeServicesServices

IBM System z

8© 2011 IBM8


IBM Cognos Business Intelligence for System z

Delivers information where, when and how it is needed

• Self-service reporting and analysis• Automated delivery of information in context• Author once, consume anywhere

Full range of BI capabilities• Query, reporting, analysis,

dashboarding, realtime monitoring

Purpose-built SOA platformthat fits client environments and scales easily

Over 130 IBM Clients Already Deploying BI on System z

9© 2011 IBM9


IBM’s Pains:• Segmented

investments in BI tooling and infrastructure

• Limited visibility to the total cost of business intelligence costs for the enterprise

In the spotlightOur commitment to informed decision making led us to implement a private cloud of Cognos via System z, which will drive unprecedented information delivery combined with $25M savings over 5 years. -IBM CIO Office

IBM’s Results:Consolidating 115 multi-product, departmental deployments Over 3900 Servers to One System z with One Cognos Rapid Roll Out

Deployed to 142K users in 18 months250K users by end of 2011

Realizing value from +60 data sources across IBMProjected $25M in savings

60% Consolidation35% Standardization5% Automation

IBM’s Strategy:Common BI “appliance like” service for delivering information to IBM Start with BI, grow to:

Predictive AnalyticsData Warehouse

IBM BlueInsight

10© 2011 IBM10


10

Miami-Dade CountySelects IBM System z platform to expand their IBM Cognos

8 BI enterprise infrastructure

…We are now able to expand the usage of our Business Intelligence reporting. By the end of 2010, we will have users from over 42 County departments with over 1500 users creating and consuming reports with stable environments on System z.

—Jaci Newmark, Project Lead, Enterprise Business Intelligence Architecture,

Miami-Dade County

11 days to go from distributed to System z deployment model

Consolidated multiple BI deployments onto a single platform

Consolidate multiple, disparate data sources onto a single platform

Ensured 99.999% availability & complete disaster recovery plan

11© 2011 IBM11


IBM SPSS: Predictive analytics for System z Analyze and model as transactions happen

Full breadth of predictive analytics

• Data collection, statistics, data mining, predictive modeling, deployment services…

Putting prediction in hands of the business

• Decision Management

Driving better business outcomes

• Attract and retain more profitable customers

• Detect and prevent fraud

• Improve resource allocation

Released Q4 2010

Released Q4 2010

12 clients already deploying IBM SPSS on System z

- Banking, retail, airlines, telco and government

12 clients already deploying IBM SPSS on System z

- Banking, retail, airlines, telco and government

12© 2011 IBM12


How is it differentPerformance

Unprecedented response times to enable 'train of thought' analyses frequently blocked by poor query performance.

IntegrationConnects to DB2 through deep integration, providing transparency to all applications.

Self-managed workloadsQueries are executed in the most efficient way

TransparencyApplications connected to DB2 are entirely unaware of the accelerator

Simplified administrationAppliance-like hands-free operations, eliminating many database tuning tasks

What is it? The IBM Smart Analytics Optimizer is a workload optimized, appliance-like add-on that enables the integration of business insights into operational processes to drive winning strategies. It accelerates select queries, with unprecedented response times.

Breakthrough Technology

IBM Smart Analytics Optimizer Capitalizing on the best of relational and columnar databases

13© 2011 IBM13


Key integration points include:– Data sharing (availability and scale out)– zIIP and other specialty engines – Unicode conversion– Encrypted communication & data – Hardware data compression & encryption– Cross-memory, memory protection keys– Sorting– Multi-core, large N-way – 64-bit addressing and large memory– z/OS Workload Manager– z/OS Security Server (RACF)– z/OS RRS integrated commit coordinator– System z10 1 MB page size, decimal float – Solid state disks– zEnterprise z196, zBX, z10, …

DB2 Deep Synergy With System z

14© 2011 IBM14


DB2 10 for z/OSContinues to be the Lowest Cost Platform per User

Processing Savings with DB2 10• Up to 10% savings out of the box• Distributed application access can

save up to 20%• Native SQL stored procedures can

save up to 20%• Heavy insert activity can drive

10 – 40% savings

Skip Level Upgrade• Upgrade directly from Version 8 to Version 10• Faster time to value and lower costs

with only one upgrade to manage

“We have measured a 38% reduction in CPU for heavy insert workloads in a data sharing environment. That’s a significant savings which provides immediate business benefit.”

Peter Paetsch, BMW

“We have measured a 38% reduction in CPU for heavy insert workloads in a data sharing environment. That’s a significant savings which provides immediate business benefit.”

Peter Paetsch, BMW

15© 2011 IBM15


DB2 10 InnovationExtraordinary Scalability

• DB2 10 for z/OS now enables SAP applications 6 timesthe number of users and activity on a single system

• Virtual storage improvements deliver 10 times more scalabilityFewer DB2 members required - reducing complexity and improving application performance

• Direct Row Access30% to 50% improvement over Indexed data accessNew Hash Access methodology eliminates multi-step indexing Significantly improves applications requiring single row access

We expect to reduce our data sharing requirements by 25%, which means less system, storage and resource expenses

Banco do Brasil

Accounts Accounts

16© 2011 IBM16


More Industry Firsts with DB2 10Time Travel Query

• Integrated Bi-temporal capabilities– Query over any current, prior or future period in time

• IBM innovation first on DB2 and first available on System z– System and User-maintained temporal tables

Accounts

What is the answer now?

Accounts

What was the answer in the past?

Accounts

What will the answer be in the future?

“As much as 80% of our applications can use this, which will drastically save developer time and even more importantly make applications easier

to understand to improve business efficiency and effectiveness”

“As much as 80% of our applications can use this, which will drastically save developer time and even more importantly make applications easier

to understand to improve business efficiency and effectiveness”

“The new temporal functionality in DB2 10 for z/OS will allow us to drastically simplify our data-related queries and reduce our processing cost by having DB2 handle data movement more efficiently than our custom code”

“The new temporal functionality in DB2 10 for z/OS will allow us to drastically simplify our data-related queries and reduce our processing cost by having DB2 handle data movement more efficiently than our custom code”

Major Insurance Company

17© 2011 IBM17


IMS: Powering the World’s Most Successful Enterprises

IMS 11• Fast integration/access for Java & Web 2.0 applications• Real-time data access from any platform • Feeding Business Analytics and Mashups

IMS 12 - Coming Later this Year• Focus on Reduced Transactional Costs

– Up to 10% out of the box MIPS savings– Up to 30% savings on network support

• Improved Productivity– Up to 50% faster deployment of IMS resource definitions and changes

• Improved Performance– Database logging up to 2x faster– and much more…

12

18© 2011 IBM18


Analyze

Integrate

Transactional & Collaborative Applications

Manage

Business Analytics

Applications

External Information Sources

Data Cubes & Mining

Streams

Big Data

Master Data

Content

Data

streamingInformation

GovernQuality

Security & Privacy

Lifecycle

Data Warehouses

Standards

Content

IBM Offers a Complete Information Ecosystem

19© 2011 IBM19


Information Server for System z2009

InfoSphere MDM Server for System z

2008

Optim Data Governance for System z

Cognos 8 BI for System z

Information Agenda

Information On Demand

InfoSphere Warehouse for System z

IMS 11 for z/OS

2011

Data Warehousing

Business Intelligence

Analytics

Smart Analytics Optimizer for z/OS

DB2 10 for z/OS

ISAS 9600 for System z

OMEGAMON DB2 end–to-end monitoring

DB2 Sort for z/OS

IMS Tools Solution Packs for z/OS

Information-Led Transformation

SPSS for System zGuardium for System z

InfoSphere Discovery for z/OS

Cognos BI for z/OS

2010

Industry Models for System zActive Active for z/OS

IMS 12Information Management for System z

Analyze

Integrate

Transactional & Collaborative Applications

Manage

Business Analytics

Applications

External Information Sources

Data Cubes & Mining

Streams

Big Data

Master Data

Content

Data

streamingInformation

GovernQuality

Security & Privacy

Lifecycle

Data Warehouses

Standards

Content

20© 2011 IBM20


Guardium for System zAlready A Must Have in Banking

• Granular, real-time policies & auditing– Who, what, when, how

• Provides a unified view and secure audit trail of all database activities

– Across both mainframe and distributed environments

– Enterprise-wide compliance reporting, alerting, analytics & forensics

Guardium success has significantly extended into the mainframe environment

– Newly integrated System z event capture technology– Highly optimized for mainframe performance

Compliance officers and auditors have begun to broaden their scope of interest to include the mainframe

Significant growth potential remains

400% Growth

in 2010400% Growth

in 2010

21© 2011 IBM21


OPTIM TDM/DP for System zAlready a must have for production support environments

• Provides consistent privatized data– Relational and Legacy data subsets– Applies Data privacy policies– Extensive out-of-the-box masking

capabilities• Granular Production to Test Data solution

– Use Cases and Data alignment– Personal and system refresh– Audit data changes– Part of an Enterprise wide solution– Native to z, but z expertise not required

• OPTIM is native to z and distributed– Highly optimized for both environments

• Process optimization– Storage and CPU footprint reduction– Higher quality data for development– Supports compliance/security requirements

• Significant growth potential remains– 50%+ of Fortune 500 – Enterprise General Business growth opportunity

TrainingTraining

Q.A.Q.A.

ComplianceCompliance

DevelopmentDevelopment

22© 2011 IBM22


Solution

Challenges

Client Success Story z/OS – Sun Life Financial

• IBM® OptimTM Test Data Management & Data Privacy for Mainframe (and DistributedPlatforms)

Standardize test data management & privacy processes into a single, unified service across all applications both on the mainframe, packaged apps and distributed systems

Business Benefits• Application Development:: Dramatically reduced turn

around time for new test data provisioning.• Data privacy projects included compliance, privacy

sourcing options and third-party support. Synchronizing the quality assurance data for multiple applications across multiple platforms (z&/OS & LUW) through data masking garnered the largest savings - CAD$750,000 for the first implementation.

• Facilitate regulatory compliance: Ability to leverage masking rules across all platforms remains a tremendous asset.

• DBMS Migration: Optim enabled the rapid migration of Sybase applications to Oracle and DB2.

• Testing Productivity: Optim Compare facilities improved developer ability to identify and correct errors far earlier in the SDLC process.

““With the overall OPTIM suite, we achieved our With the overall OPTIM suite, we achieved our break even in one year and are well on our way break even in one year and are well on our way to achieving the benefits of the external 5 year to achieving the benefits of the external 5 year business case (> $7M return). We felt this was business case (> $7M return). We felt this was too ambitious, wetoo ambitious, we’’re very pleased to stand re very pleased to stand correctedcorrected””.. -- Sun LifeSun Life

1. “Exploding” Infrastructure ChallengeLarge Mainframe (DB2, IMS & VSAM) environment with test environments growing at 60% YOY to support business requirements.

Test beds were 7x-10x production footprint

Charge back costs tripling every 3 years due to explosive data growth.

2. Application Development ChallengeLarge data sets unwieldy and slow to work with hampering creation and implementation of new business functionality and system integration testing

3. Lack of a Standardized TDM Approach ”Business as usual solutions for managing exponential data

growth was not cost-effective and required a “best practice” standardized approach for the lifecycle management and governance of data.

23© 2011 IBM23


23

Integrated Cognos Business Intelligence

Integrated InfoSphere Warehouse

In-database cubing and mining

Choice of platform and OS

Smart Analytics SystemThe integrated optimized system for business analytics

Scale ‘On Demand’Modular application interfacesBuilt for complex and mixed workloadsAutonomic tuning

24© 2011 IBM24


24

EuropeThe European Headquarters in Belgium selects

IBM System z platform for DW & BI

"We are using the Smart Analytics System 9600 for our next generation data warehouse and business analytics applications. It was simply the most cost effective and scalable platform compared to every one we tested”

The first IBM System z196 deployed in Belgium will be used for DW & BI

DB2 for z/OS

InfoSphere Warehouse for System z

InfoSphere DataStage for System z

Cognos BI for System z

25© 2011 IBM25


IBM Maximizing Outcomes

25

$14B USD in Acquisitions since 2005

10,000+ Technical Professionals

7,500+ Dedicated Consultants

4,000+ High Value Business Partners

27,000+ Business Partner Certifications

Largest Math Department in Private Industry

Autonomic Operations

Developer Productivity

Deep Compression

pureXML

pureScale

Pervasive Content

Stream Computing

Content Analytics

Advanced Case Management

Smart Analytics Systems

Social Analytics andConsumer Insight

2011

2006

Federal security analytics

Governance, Risk & Compliance

27© 2011 IBM27


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The customer examples described are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual environmental costs and performance characteristics may vary by customer.

Information concerning non-IBM products was obtained from a supplier of these products, published announcement material, or other publicly available sources and does not constitute an endorsement of such products by IBM. Sources for non-IBM list prices and performance numbers are taken from publicly available information, including vendor announcements and vendor worldwide homepages. IBM has not tested these products and cannot confirm the accuracy of performance, capability, or any other claims related to non-IBM products. Questions on the capability of non-IBM products should be addressed to the supplier of those products.

All statements regarding IBM future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.

Some information addresses anticipated future capabilities. Such information is not intended as a definitive statement of a commitment to specific levels of performance, function or delivery schedules with respect to any future products. Such commitments are only made in IBM product announcements. The information is presented here to communicate IBM's current investment and development activities as a good faith effort to help with our customers' future planning.

Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon considerations such as the amount of multiprogramming in the user's job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve throughput or performance improvements equivalent to the ratios stated here.

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