Notes to presenter: This deck includes the base slides for a ...

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


Accelerate information on demand with dynamic warehousing

April 2007



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



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



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



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



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



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 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



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



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 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



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



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



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



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



Integrated tools for dynamic warehousing Seamless integration of advanced information integration

IBM Information Server

Simplicity



Integrated tools for dynamic warehousingSeamless integration of enterprise data modeling

Data Architect

Simplicity



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!



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



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 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 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


Backup Charts



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



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



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




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




Performance Improvements with CompressionReduced storage costs – better disk utilization – faster queries




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



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



“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



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!



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








Limited to 2 TB

Smaller Warehousing Applications and Data Marts that Require High

Performance Characteristics

Advanced Edition


Workload Control

Deep Compression

Workload Control

Deep Compression

Data Mining & Visualization

In-line Analytics

New Offering!

EnhancedCapabilities!



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





Limited to 400 GB

Entry-point for Smaller Warehousing Applications and Data Marts

Starter Edition




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!



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



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



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



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



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



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.

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