leveraging system z to turn information into insight
TRANSCRIPT
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
Smarter Computing: System z Analyst Summit
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
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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
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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
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Your Operational Information is the Starting Point…IBM Business Analytics and Data Warehousing
on System z
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7© 2011 IBM7
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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…
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18© 2011 IBM18
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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
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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
Smarter Computing: System z Analyst Summit
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
Smarter Computing: System z Analyst Summit
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
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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.
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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
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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
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IBM Maximizing Outcomes
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$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
26© 2011 IBM26
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Information Management
27© 2011 IBM27
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