notes to presenter: this deck includes the base slides for a
TRANSCRIPT
IBM Information Management
© 2007 IBM Corporation1
Notes to presenter: This deck includes the base slides for a 60 minute presentation of our dynamic
warehousing story – it is designed to introduce our dynamic warehousing message to customers, along with some of the new offerings related to this announcement, including the IBM Balanced Warehouse, and highlight some of the key differentiators of our DB2 Warehouse platform
There is typically not enough time to go through all of the components of DB2 Warehouse, but slides have been included in the backup section to review the rest of the components (along with two additional customer stories and some extra slides that didn't make the cut) – these could be used if you have extra time, or if you want to pull together a follow on presentation that goes into more detail.
The main presentation has completely scripted speaker notes (only some of the back up slides have speaker notes) – there are several build slides, so be sure to view it in presentation mode and page down or click when you see the [click for transition] cues in the speaker notes.
DELETE THIS SLIDE PRIOR TO YOUR PRESENTATION
© 2007 IBM Corporation
IBM Information Management
Accelerate information on demand with dynamic warehousing
April 2007
IBM Information Management
© 2007 IBM Corporation3
Leveraging Information to Create Business ValueInsightful, Relevant Information When and Where it’s Needed
OLAP & Data Mining− Merchandising, Inventory,
Operations
Help Solve Crimes by Delivering Suspect List to Detectives Arriving
at the Crime Scene
Optimizing Police Force Deployments
Information On Demand− Optimize Each Transaction− Call Centers, Field Ops
Query & Reporting− Financials, Sales
Crime Rate Reports
IBM Information Management
© 2007 IBM Corporation4
Dynamic WarehousingA New Approach to Leveraging Information
Dynamic Warehousing
Traditional Data Warehousing
OLAP & Data Mining to Understand Why and
Recommend Future Action
Query & Reporting to Understand
What Happened
Information On Demand to Optimize Real-Time Processes
Dynamic Warehousing Requires:
1. Real-time access – in context
2. Analytics – as part of a business process
3. Unstructured information – extracted knowledge
4. Extended infrastructure – tightly integrated
IBM Information Management
© 2007 IBM Corporation5
Dynamic warehousing Extending beyond the warehouse to enable information on demand
Process management
Enterprisedata modeling
Informationintegration
Search and text analytics
Master data management
Industryperspective
Dynamic Warehouse
IBM Information Management
© 2007 IBM Corporation6
Dynamic warehousing Traditional
warehousing
More Examples of Dynamic Warehousing in ActionEnabling Information On Demand for Business Advantage
Insurance fraudanalysis and reporting
Identifying potentially fraudulent claims prior to approval and payment
Transforms healthcare
Reporting oncustomer issues
Identifying possible related issues, churn risk and cross-sell opportunities while engaged with the customer
Transforms customer service
Historical sales analysis and reporting
Discovering relevant customer information to identify cross sell opportunities and improve negotiating position at the point of sale
Transforms sales effectiveness
IBM Information Management
© 2007 IBM Corporation7
Why is it a challenge for organizations to leverage information effectively?
Information distributed in silos across the organization
Not accurateNot completeNot trusted Not timely
Volume and variety of information increasing
Velocity of business driving real-time requirements
Increased need to aggregate and analyze information dynamically
IBM Information Management
© 2007 IBM Corporation8
Creates challenges for traditional warehousing Not just for traditional query and reporting purposes anymore
Warehouses must now: Address expanding needs for analytics and information on demand
Leverage ALL types of information, including unstructured
Serve increasing numbers and types of applications and users, with varying service level demands
Increasingly mixed workload environments
and the constantly changing needs of different business constituents
require more dynamic warehousing capabilities
IBM Information Management
© 2007 IBM Corporation9
IBM provides more than just a warehouse DB2 Warehouse provides extended capabilities and value
Embeddable analytics (Inline and as a Service)
Multidimensional analysisData mining and visualization
Beyond traditional structured data
Generate and leverage knowledge from
unstructured information
OLTPBenefits of a transactional data server foundation
Optimized for real-time access,High availability and reliability Scalable, secure and auditable
DWDBMS
Dedicated warehousing
Shared-nothing architecture Advanced data partitioning
Workload management
Deep compression
Reduced storage costsBetter disk utilization
Query speed improvement
“As a direct effect of the mixed workload, with continuous loading and the increase in automated transactions from the
functional analytics in OLTP, the transactional DBMSs have an edge that challenges the DW DBMSs (such as Teradata)”
Gartner Data Warehouse Magic Quadrant, 2006
IBM DB2 WarehouseTraditional warehouse
Da
ta V
olu
me
s
Unstructured
Structured
IBM Information Management
© 2007 IBM Corporation10
Master data management
Industryperspective
Process management
Informationintegration
Search and text analytics
Enterprisedata modeling
IBM Global Services and Business Partners
SOA Infrastructure
How IBM Enables Dynamic WarehousingIntegrated offerings to enable information on demand
Dynamic Warehouse
IBMDB2 Warehouse
Process MgmtFileNet BPM
WebSphere BPM
Information IntegrationInformation Server
MDMWS Customer CenterWS Product Center
Industry PerspectiveIBM industrydata models
EnterpriseData Modeling
Rational®Data Architect
Search & Text Analytics
OmniFind™Analytics Edition
IBM Information Management
© 2007 IBM Corporation11
Warehousing strategic pillarsGuiding principles for innovation
Extended InsightBeyond traditional capabilitiesFurther leverage informationExtended business insight
Support broader usage
SimplicityEasy to deploy and integrate
Easy to useEasy to manage
Easy to start and grow as needed
Reliability & PerformanceReliable access to information
Highly availableReal-time performance
Maximized resource efficiency
IBM Information Management
© 2007 IBM Corporation12
IBM DB2 Warehouse software A complete, integrated platform
Mo
del
ing
an
d d
esig
n
Ad
min
istr
atio
n a
nd
co
ntr
ol
Data movement and transformation
Database management
Performance optimization
Workloadcontrol
Data partitioning
Deepcompression
Embedded analytics
Data mining and visualization
In-line analytics
IBM DB2 Warehouse
IBM Information Management
© 2007 IBM Corporation13
Introducing IBM Balanced WarehouseTM
A fast track to warehousing
Simplicity Predefined configurations for reduced
complexity One number to contact for complete
solution support
Flexibility for growth Add BCUs to address increasing demands
Multiple on-ramps for different needs
Reliable, nonproprietary hardware for reusability
Optimized performance Preconfigured and certified for guaranteed
performance
Based on best practices for reduced risk
Balanced Configuration Unit (BCU)
Preconfigured, pretested allocation of software, storage and hardware to support a specified combination of function and scale
Better than an appliance
Balanced WarehouseSIMPLEFLEXIBLE
OPTIMIZED
IBM Information Management
© 2007 IBM Corporation14
Filter required data directly in the warehouse
Get the subset of products that you are interested in performing market basket analysis on. Integrated data movement and transformation capabilities allow you to do to this in line within mining processes.
Drag-and-drop interface
Seamlessly add specific analytics and mining operations into a data flow and specify the attributes in the pane below
Embedded mining with integrated tools Seamless integration of analytics capabilities
Extended Insight
Simplicity
IBM Information Management
© 2007 IBM Corporation15
Out-of-the-box visualization tools
Can be embedded directly into applications and Web pages
Deliver inline visualization and analyticsEmbedded analytics capabilities
Extended Insight
Simplicity
IBM Information Management
© 2007 IBM Corporation16
Min
ing
engin
e
Category Item
[Call Taker] James [Date] 2002/08/30[Duration] 10 min.[CustomerID] ADC00123
[type] complaint[issue] denied claim[service] prescription[resolution] add’l info
Extractedmetadata
Search, visualization and interactive mining
Call Taker: James Date: Aug. 30, 2002Duration: 10 min.CustomerID: ADC00123
D: Complained about rejected claim for antibiotics; form req’d more information
Unstructured data
Structured Data
Original Data
Rich analysis interface for combining structured and unstructured data Combines search, text analytics and data visualization
Unstructured analytics framework Analysis tools
Introducing IBM OmniFind Analytics Edition
Linguisticanalysis
Extended Insight
IBM Information Management
© 2007 IBM Corporation17
Integrated tools for dynamic warehousing Seamless integration of advanced information integration
IBM Information Server
Simplicity
IBM Information Management
© 2007 IBM Corporation18
Integrated tools for dynamic warehousingSeamless integration of enterprise data modeling
Data Architect
Simplicity
IBM Information Management
© 2007 IBM Corporation19
Banking(Banking Data Warehouse)
Financial Markets(Financial Markets Data Warehouse)
Claims
Medical management
Provider and network
Sales, marketing and membership
Financials
Profitability
Relationship marketing
Risk management
Asset and liability management
Compliance
Risk management
Asset and liability management
Compliance
Health Plan(Health Plan Data Warehouse)
Customer centricity
Claims
Intermediary performance
Compliance
Risk management
Retail (Retail Data Warehouse)
Customer centricity
Merchandising management
Store operations and product management
Supply chain management
Compliance
Telco(Telecommunications Data Warehouse)
Churn management
Relationship management and segmentation
Sales and marketing
Service quality and product lifecycle
Usage profile
Insurance(Insurance Information Warehouse)
Industry data models Leverage industry best practices for faster time to market
Extended Insight
New Offering!
EnhancedCapabilities!
Over 400 Customers!
IBM Information Management
© 2007 IBM Corporation20
Growing demand for real-time query and reporting of operational data
Leveraging the traditional strengths of IBM System z™ servers—performance, availability, scalability and security—along with existing IT investments and skills
Structured query language (SQL) enhancements for improved query and reporting
New graphical analytics and reporting tools for System z servers, including interactive visual dashboards
Improved performance and scalability for query and reporting functions
Significant CPU time reduction for data copies and table/index management
Additional 10 percent to 15 percent improvement in virtual storage
New features for warehousing on IBM System z servers IBM DB2 z/OS is growing as a platform for warehousing
New Features!
Mission-critical data warehousing
IBM Information Management
© 2007 IBM Corporation21
Information on Demand Data Warehouse Services Helping customers design solutions to drive fast, informed
strategic business decisions
Information on Demand Integration Services Helping customers provide quicker access to all available
information in the enterprise for more informed strategic business decisions
Services offeringsGet started more quickly and leverage best practices
IBM Global Technology Services Faster implementation with less risk
A single, trusted source for reliable data
Better-informed decision making
Enhanced performance, availability and scalability of the warehouse environment
Optimization of existing data assets
IBM Information Management
© 2007 IBM Corporation22
IBM is the leading provider of data warehousingIndustry leaders use DB2 for warehousing
11 of the top 12 banks
7 of the top 8 auto manufacturers
5 of the top 6 insurance companies
4 of the top 6 general merchandisers
4 of the top 5 specialty retailers
3 of the top 4 food and drug stores
IBM is ranked as a leader in Gartner’s “Magic Quadrant for Data Warehouse Database Management Systems 2006.”
IBM Information Management
© 2007 IBM Corporation23
IBM enables dynamic warehousingDelivering greater value from information
More dynamic and balanced approach to warehousing is key
Broad set of capabilities beyond the warehouse required
IBM provides the most comprehensive platform to address these needs
© 2007 IBM Corporation
IBM Information Management
Backup Charts
IBM Information Management
© 2007 IBM Corporation25
New Capabilities and Offerings to Enable Dynamic WarehousingAnnounced March 13, 2007
IBM Balanced WarehouseTM Solutions– Multiple classes of offerings
New and Enhanced Packaging Offerings– Advanced Edition, Enhanced Base Edition
New SMB Offerings– Available from partners
Embedded Analytics– Extended insight capabilities with integrated tooling
New Offering for Unstructured Analytics– IBM OmniFind Analytics Edition
Seamless Integration of Information Server & RDA– Integrated tooling
New and Enhanced Industry Data Models– New Health Plan and enhanced Insurance data model
New Features for Warehousing on System z– Query & reporting feature enhancement and performance improvements
New Services Offerings– GBS strategic planning & design and GTS implementation assistance
IBM Information Management
© 2007 IBM Corporation26
Partition a database within a single server or across a cluster of servers– Scale to support very large data sets
– Minimize impact of complex workloads
– Provide increased parallelism for administration tasks
Data Partitioning
Reliability & Performance
IBM Information Management
© 2007 IBM Corporation27
Streaming Updates andBatch ETL
Short TacticalQueries
Complex Strategic Queries
“Query Traffic Corp” • Control the flow of queries
• Prioritize queued queries• Automatically put larger queries on hold
(can be canceled or scheduled to run during off peak hours)
• Cancel runaway queries
• Queries submitted by certain users can be given higher execution priority
“Accountant” • Keep a lid on “cost”• Real-time & historical query-execution stats• Reports on:
• which data is being accessed most frequently• which data is NOT being accessed• users or groups generating most workload
Workload Control
Reliability & Performance
IBM Information Management
© 2007 IBM Corporation28
Deep Compression
NULL and Default Value Compression
– No disk storage consumed for NULL column values, zero length data in variable length columns and system default values
Multidimensional Clustering
– Significant index compression can be achieved through block indexes
– One key per thousands of records (vs one key per record with traditional indexes)
Database Backup Compression
– Smaller backup images; compress index and long tablespaces
Data Row Compression
Dictionary based - symbol table for compressing/decompressing data records
Compression of 100GB TPC-H Tables
0%
10%
20%
30%
40%
50%
60%
70%
LineItem Orders Entire DB
DB2
Other DB
Compression of 100GB TPC-H Tables
0%
10%
20%
30%
40%
50%
60%
70%
LineItem Orders Entire DB
DB2
Other DB
3x better
2x better
Reliability & Performance
IBM Information Management
© 2007 IBM Corporation29
Performance Improvements with CompressionReduced storage costs – better disk utilization – faster queries
Reliability & Performance
IBM Information Management
© 2007 IBM Corporation30
Embedded Data Movement and Transformation
Design– Logical ER design with Rational Data Architect plug-in– Physical Design
• Reverse engineer existing systems• Deploy data partitioning
Extract, Load & Transform– JDBC interface for non DB2 sources– SQL based data transformations
Scripting– Develop Data flows / data-mining flows, Datastage jobs, RunStat, Reorg– E-mail notification
Cube & MQT Definition Data Mining
– Data normalization/ internal database execution
Debugging and Testing– Offline testing
Simplicity
IBM Information Management
© 2007 IBM Corporation31
Warehousing Made SimpleCommon Eclipse Based Design Studio for All Administration
SQL Generated From Data
Flow
Data Flow
Control Flow
Enterprise Schema
Data Warehouse
Project
Simplicity
IBM Information Management
© 2007 IBM Corporation32
“Easy Mining” algorithms– Associations
• Which item affinities (“rules”) are in my data?• [Beer => Diapers] …single transaction
– Sequences• Which sequential patterns are in my data?• [Love] => [Marriage] => [Baby Products] …sequential
transactions– Clustering
• Which interesting groups are in my data?• …customer profiles, store profiles
– Classification• How to predict categorical values in my data?• …will the patient be cured, harmed, or unaffected by this
treatment?– Prediction
• How to predict numerical values in my data?• …how likely a customer will respond to the promotion• …how much will each customer spend this year?
Score data directly in DB2, scalable and real timeSelect Transform Mine Assimilate
Extracted Information
Assimilated Information
Selected Data
Data Warehouse
Statistician & Data Mining Workbench
DB2 Warehouse
BusinessAnalyst
Extended Insight
Data MiningEnhancing Business Insight with Predictive Analytics
IBM Information Management
© 2007 IBM Corporation33
Introducing IBM Balanced Warehouse SolutionsFlexibility to Meet Customer Specific Needs
High End Hardware & Storage
Unlimited, Modular Scalability
4TB and up
Large Enterprise Data Warehouses
E-ClassIBM Balanced WarehouseTM
Modular Scalability
1TB to 5TB
Departmental Data Marts and Small to Mid-Size Data Warehouses
D-ClassIBM Balanced WarehouseTM
Mid-Range Hardware & Storage
New Offering!
IBM Information Management
© 2007 IBM Corporation34
Announcing IBM DB2 Warehouse 9.1.2 OfferingsFlexibility to Meet Customer Specific Needs
Database Partitioning
Data Movement & Transformation
Modeling & Design Tools
Administration & Control Tools
Unlimited Warehouse Size
Departmental Data Marts, Basic Reporting Data Warehouses and
SAP Business Warehouses
Enterprise Base Edition
Unlimited Warehouse Size
Enterprise Warehousing Solutions Requiring Advanced Business Insight and Optimization through Analytics
Enterprise Edition
Database Partitioning
Data Movement & Transformation
Modeling & Design Tools
Administration & Control Tools
Data Movement & Transformation
Modeling & Design Tools
Administration & Control Tools
Limited to 2 TB
Smaller Warehousing Applications and Data Marts that Require High
Performance Characteristics
Advanced Edition
Database Partitioning
Workload Control
Deep Compression
Workload Control
Deep Compression
Data Mining & Visualization
In-line Analytics
New Offering!
EnhancedCapabilities!
IBM Information Management
© 2007 IBM Corporation35
Introducing New Offerings for the SMB MarketAvailable from IBM Business Partners
Provide broader access to IBM’s leading DB2 Warehouse technology
Simplified, affordable warehousing solutions that can be more easily leveraged by smaller organizations
Data Movement & Transformation
Modeling & Design Tools
Administration & Control Tools
Database Partitioning
Limited to 400 GB
Entry-point for Smaller Warehousing Applications and Data Marts
Starter Edition
Data Movement & Transformation
Modeling & Design Tools
Administration & Control Tools
Limited to 1 TB
Departmental Data Marts and Smaller Data Warehouses
Intermediate Edition
Includes Warehouse Tools(Starter or Intermediate Edition)
Scales to 1 TB
Out of the Box Warehousing Solution for SMB Customers(includes out-of-the-box BI tools)
C-ClassIBM Balanced WarehouseTM
30 Partners Already Signed Up!
IBM Information Management
© 2007 IBM Corporation36
What is the value of information?Information availability is key to addressing business challenges
Business challenge
Optimize business processes
Improve customer service
Increase employee productivity
Reduce risks and address regulatory compliance
More than 60% of CEOs need to do a better job leveraging information
70% of employee time spent searching for relevant information
Impact of information availability
Greater transparency provides ability to avoid risks and detect potential threats
Less time wasted searching for answers
A more holistic and accurate picture of customers and their needs
Ability to make better decisions, faster
IBM Information Management
© 2007 IBM Corporation37
The need for information on demandComplexity demands a more dynamic and architected approach
Applications Applications
Warehouses
Applications Applications
Warehouses
Applications
Open standardsFlexible architecture
People and processes
Transactions Transactions Documents
IBM Information Management
© 2007 IBM Corporation38
Information on Demand is neededWhere can business insights provide the most value?
IT Power(Analysts)
Business(Managers)
Casual(Front Line)
Extended
0
10
20
30
40
50
60
70
80
90
100
Who is using business intelligence tools today?
Who can get most value out of business insights?
IT Power(Analysts)
Business(Managers)
Casual(Front Line)
Extended
0
10
20
30
40
50
60
70
80
90
100
IBM Information Management
© 2007 IBM Corporation39
Challenge Integrate disparate data sources to
support more accurate store and product performance analysis
Speed responsiveness to changing business conditions and better understand store and product performance information
Key to success An integrated end-to-end retail
warehousing solution with pre-existing industry models and embedded analytics that could generate insight into all aspects of the core business
Business Advantage through Information on DemandFaster access to information improves business performance
Company profile A leading specialty retailer
of children’s clothing
Business benefits Drastically reduced model development
time and decreased query time from days to just seconds, helping speed responsiveness to variable business conditions
Ability to address customer needs and behavior analyses, fraud detection, and store location and merchandising optimization through a single platform
IBM Information Management
© 2007 IBM Corporation40
Challenge Consolidate claims transactions—
from several thousand providers with structured and unstructured data distributed across multiple systems—into a single data warehouse instance
Develop a centralized view of medical provider information—including unstructured data—to improve terms negotiation leverage
Key to success In-context delivery of knowledge
from structured and unstructured information distributed across the organization and beyond
Company profile An independent, not-for-profit health
benefits company serving more than five million people
Business benefits Single view into all “revenue” for a
provider across multiple programs, identification of provider requests for new facilities and access to existing contracts during negotiations
Categorization and understanding of customer service issues and access to provider demographic and service offerings for improved support
Business Advantage through Information on DemandVisibility into relevant information improves customer service and sales
IBM Information Management
© 2007 IBM Corporation41
Copyright information© Copyright IBM Corporation 2007
IBM CorporationSoftware GroupRoute 100Somers, NY 10589 U.S.A.
Produced in the United States of America03-07All Rights Reserved.
DB2, IBM, the IBM logo, OmniFind, Rational and System z are trademarks or registered trademarks of International Business Machines Corporation in the United States, other countries or both.
Other company, product and service names may be trademarks or registered trademarks or service marks of others.The information contained in this documentation is provided for informational purposes only. While efforts were made to verify the completeness and accuracy of the information contained in this documentation, it is provided “as is” without warranty of any kind, express or implied. In addition, this information is based on IBM’s current product plans and strategy, which are subject to change by IBM without notice. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this documentation or any other documentation. Nothing contained in this documentation is intended to, nor shall have the effect of, creating any warranties or representations from IBM (or its suppliers or licensors), or altering the terms and conditions of the applicable license agreement governing the use of IBM software.