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IBM Stockholm User Group April 2013

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2 T HE L EADER IN IBM I NFORMATION M ANAGEMENT AND B USINESS A NALYTICS F OCUSED EXCLUSIVELY ON IBM I NFORMATION M ANAGEMENT AND B USINESS A NALYTICS SOLUTIONS DELIVERED THROUGH 5 PRIMARY PRACTICES : 1.I NFORMATION M ANAGEMENT S TRATEGY G OVERNANCE AND B USINESS S TRATEGY 2.M ASTER D ATA M ANAGEMENT A LL MDM SOLUTIONS 3.E NTERPRISE D ATA I NTEGRATION C ORE I NTEGRATION 4.I NFORMATION Q UALITY M ANAGEMENT M ETADATA, G OVERNANCE & Q UALITY 5.E NTERPRISE A NALYTICS P URE D ATA ( N ETEZZA ), C OGNOS, T M 1, SPSS, B IG D ATA IBM P REMIER P ARTNER S OLUTIONS CONSULTANCY IN E UROPE BECOMING A PREMIER PARTNER O VER 220 PEOPLE IN THE COMPANY, ALL FOCUSED ON IBM AND THE DEVELOPMENT AND INTEGRATION OF IBM S OLUTIONS W ORLDWIDE S ERVICES D ELIVERY O FFSHORE DEVELOPMENT CENTERS IN I NDIA, C HINA & R USSIA

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3 Agenda 1.Overview for Information Governance, Policies & Data Quality 2.Business Information Monitor Demonstration

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4 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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5 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 doesnt 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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6 The Policy - Business Rule & Data Rule - is at the Heart of Data Governance and Compliance POLICIES Defined by a set of Business Rules BUSINESS RULES Defined by a set of Data Rules DATA RULES

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7 Metadata Management Benefits Metadata management refers to the activities associated with ensuring that meta data is created/captured at the point of the datas 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 areas 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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8 2. Business Information Monitor & StreamClean Solution Streams 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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9 Benefits of Business Information (metadata) Management Metadata Management Benefits Business 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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10 Appendices BIM Slide ware

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11 Business Glossary Policies

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12 Business Policy

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13 Policys Data Quality Results

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14 Quality Manager

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15 Quality Manager

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16 Latest BIM Version Using New Cognos Reporting

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

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18 APPENDICES

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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 Integration Social 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 20