1. Information Governance and Data Discovery Vincent McBurney IM Practice Lead Focus Strategies and Solutions [email_address] www.focus.co DQ Asia Pacific March, 2011 Sydney, Australia
2. Data governance is a set of processes that ensures that important data assets are formally managed throughout the enterprise. Data Governance helps controls the cost, risk and time of data driven IT projects
8. The Victim Statements – the Business They just spent so long on meetings and documentation and didn’t build anything! We could have built this faster ourselves When we got to UAT Testing there were bugs and it had to be fixed over and over again. We spend all this money on IT and what do we get for it?
9. Obvious Suspect – IT Team Requirements and rules kept changing right up through testing. You thought that was bad, wait until you see phase 2. No one told us there were three different definitions for client status. It would help if the business knew what they wanted.
10. Obvious Scapegoat – the New Guy I don’t know where the application documentation is. I need to update my resume. I don’t even know who was managing the project. Turned out the Functional Spec I was using was out of date by two years. There are three different definitions for client status? Wait, which client status are we talking about? I didn’t do a proper handover as the guy I replaced was always out to lunch.
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13. Define Business Glossary in the Unified Process Define Business Problem Obtain Executive Sponsorship Conduct Maturity Assessment Build Roadmap Establish Organisation Blueprint Build Data Dictionary Understand Data Create Metadata Repository Define Metrics Appoint Data Stewards Manage Data Quality Implement Master Data Management Create Specialised Centers of Excellence Manage Security & Privacy Manage Life-cycle Measure Results = Enable through Process = Enable through Technology
33. Unified Metadata Approach Business Glossary Discovery Fast Track Information Analyzer Discovery: Profiling, Values, Frequencies, Overlap and Links, Transform Discovery. Assign Terms Create FastTrack Maps Audit: Define valid reference data values and show them in Glossary. Show Profiling Stats in Glossary Mapping: Create source to target mappings with columns and terms. Map by physical names or business names. Automap by business names. Cognos Turn Framework Manager metadata into a Business Glossary. Popup field help. Link KPI definitions to related terms. Find in Cognos. Data Model Turn a Glossary into a Logical Model. Turn a Logical Model into a Glossary. Metadata Workbench Link Terms to Assets in bulk. Link Stewards in bulk. Report on changed and stale terms. Blueprint Director
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Editor's Notes
IBM IOD 2010 03/25/11 Prensenter name here.ppt
The IBM Data Governance council was formed in 2004 and made up of over 100 member companies who meet and collaborate on improving Information Governance processes. This Maturity model is now discussed and improved at www.infogovcommunity.com.
In each of these categories most companies are somewhere between level 1 and 2.5 – they are mostly reactive in dealing with data governance problems and they do not have consistent repeatable processes across the enterprise.
The Data Governance Council met this year and came up with some recommended maturity levels for specific business cases. In this case these are the recommended maturity levels to achieve reporting and data transformation that is accurate, timely and complete.
Focus recommends membership of the Information Governance Community providing free membership and resources for getting an information governance program up and running and joining in the discussion and collaboration around Information Governance. IBM IOD 2010 03/25/11 Prensenter name here.ppt
When we look at the field Client Status we discover a huge amount of use and versions and definitions across multiple metadata repositories and office documents – most of which is difficult to access through search and browse tools.
This is the metadata classification we are looking to achieve for import business concepts – the use of Glossary for the meaning of information and the use of Metadata Workbench for linking and providing technical context.
Business Glossary should be applied early in a project and will add value to the rest of the project team. A small investment up front to create the glossary will save time for all team members through the rest of the project and then be of benefit to system end users.
The basic Business Glossary is improved by adding related terms and synonyms and creating a network of relationships in data.
The Business Glossary entry is further improved by linking IT assets (database tables, ETL jobs, data quality jobs, BI reports etc) and external links (intranet, intranet and content management URL links) to provide the complete context of information.
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