IBM Stockholm User Group April 2013

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• THE LEADER IN IBM INFORMATION MANAGEMENT AND BUSINESS ANALYTICS

• FOCUSED EXCLUSIVELY ON IBM INFORMATION MANAGEMENT AND BUSINESS ANALYTICS SOLUTIONS DELIVERED THROUGH 5 PRIMARY PRACTICES:

1. INFORMATION MANAGEMENT STRATEGY – GOVERNANCE AND BUSINESS STRATEGY

2. MASTER DATA MANAGEMENT – ALL MDM SOLUTIONS

3. ENTERPRISE DATA INTEGRATION – CORE INTEGRATION

4. INFORMATION QUALITY MANAGEMENT – METADATA, GOVERNANCE & QUALITY

5. ENTERPRISE ANALYTICS – PUREDATA(NETEZZA), COGNOS, TM1, SPSS, BIG DATA

• IBM PREMIER PARTNER

• SOLUTIONS CONSULTANCY IN EUROPE – BECOMING A PREMIER PARTNER

• OVER 220 PEOPLE IN THE COMPANY, ALL FOCUSED ON IBM AND THE DEVELOPMENT AND INTEGRATION OF IBM SOLUTIONS

• WORLDWIDE SERVICES DELIVERY– OFFSHORE DEVELOPMENT CENTERS IN INDIA, CHINA & RUSSIA

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Agenda

1. Overview for Information Governance, Policies & Data Quality

2. Business Information Monitor Demonstration

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Business Challenges

Key Information Challenges

• Explosion of electronic information;• Increasingly competitive and regulatory environment;• Prohibitively expensive to take a reactive approach to governance issues;• Dramatic growth in the use of electronic information within business

processes requires governance standards within organisations;

Requires new technology solutions that can fully address governance and the quality of data in an automated fashion.

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Cost to Business of Poor Governance and Data Quality

Problem – Marketing, Sales and Customer Service are operating with poor efficiency, relying on unknown data

• TDWI says dirty data costs US based businesses over $600B per year

– Unknown data quality increases the cost of operations

– Unknown data quality increases the cost of marketing and sales

– Unknown data quality increases the cost of IT

– Poor data quality causes customer churn

• The business doesn’t have visibility in the state of the data prior to use

• Taking the time out of day to day operations to remedy the problem is very expensive, complicated and time consuming

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The Policy - Business Rule & Data Rule - is at the Heart of Data Governance and Compliance

POLICIESDefined by a set of

Business Rules

BUSINESS RULESDefined by a set of

Data Rules

DATA RULES

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Metadata Management BenefitsMetadata management refers to the activities associated with ensuring that meta data is created/captured at the point of the data’s creation and that the broadest possible portfolio of meta-information is collected, stored in a repository for use by multiple applications, controlled to remove inconsistencies and redundancies, and made available to business analysts and data stewards in an easily consumable manner.

Benefits of Business Information Management

Key Activities

Creating and documenting the data definitions for the subject area’s entities and attributes; Identifying the business and architectural relationships between objects; Certifying the accuracy, completeness and timeliness of the content; Establishing and documenting the context of the content (data heritage and lineage); Providing a range of contextual understanding for an increasingly diverse range of data users, including

trusted data for compliance, internal controls, and better decision-making; Providing some of the information a technology professional might need for the physical

implementation.

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2. Business Information Monitor & StreamClean

Solution

• Stream’s Business Information Monitor delivers significant advancements in measuring, monitoring and managing your key business asset, your data.

• Creates the linkage between data policies and data rules

• Provides a near real-time view of the quality of your information

• Allows you to investigate problems before you invest in using the data

• Provides performance metrics and information to:

– help your business to measure, analyze and ensure accuracy and timeliness for your information

– uses a well governed data policy based approach.

• StreamClean is a turnkey data remediation solution - fixes the data quality issues identified in B.I.M.

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Benefits of Business Information (metadata) Management

Metadata Management BenefitsBusiness Information (metadata) Monitor provides the linkage between the business need or desire (policy) and the information or data value. The effective management of metadata is one of the essential activities of a data steward within a governance practice, thus enabling strategic (stakeholder) policy compliance and access to information.

Key Elements Data Quality Policy Management – with IBM Information Analyzer Data Catalog Policy Management – with IBM Business Glossary

Other Elements for 360 Information Governance Data Provenance Policy Management – with IBM Metadata Workbench Data Privacy Policy Management – with IBM Optim Data Masking Data Retention Policy Management – with IBM Optim Lifecycle Management Data Access Policy Management – with IBM Guardium Data Security

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Appendices

BIM Slide ware

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Business Glossary – Policies

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Business Policy

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Policy’s Data Quality Results

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Quality Manager

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Quality Manager

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Latest BIM Version Using New Cognos Reporting

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Thank you

For additional information, please contact ian.baxter@streamintelcom.com

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APPENDICES

Architecture

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IBM and ESRI Products

Exploratory Server• SPSS Statistics• SPSS Modeler• ArcGIS• Cognos BI

StreamClean Quality Service

MDM Framework

Stream Media Connector

Stream Spatial Binding

Integration Framework

PureData System IntegrationSocial Media Analytics

Stream Consumer Analytics

Social Intelligence (SSI)

SC-360

BigInsights• HDFS• MapReduce• PIG• Text Analytics

Stream Solutions and Accelerators

Data from traditional

sources

Cleaner data increases the accuracy of customer analytics

MDM increases analytical value of data assets

Customer data is piped from your EDW into the Data Mart

Consumer and Market models are created using SPSS

Cognos BI generates real-time mobile dashboards

Data Warehouse

Raw Social Media Data

Esri provides consumer expenditure measures

Big Data is integrated into your Data Mart

Stream goes End-to-End with Big Data