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Tuesday, October 22, 2013

2:00 p.m. - 2:30 p.m.
Track: Data Governance Track View Track


Aaron Zornes, Chief Research Officer, THE MDM INSTITUTE

The term Data Governance has become so overused by software vendor marketing that the use of the term has as much value as "new lemon-scented" in consumer package goods. Nonetheless the importance of Data Governance (DG) of master data has only intensified as MDM has become integral to the IT architectures as well as application deployment and management plans of most large enterprises. But to be fair to the vendor community, DG is indeed a broad set of capabilities ranging from Data Steward consoles to fully-integrated decisioning workflows for authoring master data via decentralized DG committees. Prior to the the current nascent crop of integrated/active DG tools, many large enterprises contracted with large systems integrators or specialist boutique consultancies to build out highly customized DG workflows and frameworks. Now with the mega vendors beginning to release their own DG platforms, organizations must decide between the sometimes tepid DG platforms from mega vendors vs. the more nuanced and capable solution s from DG specialist firms (albeit with little to no track record of successful integration with the mega vendor MDM software). This session will focus on the "why" and "how" of Data Governance technical evaluations by providing insight into:

  • Understanding the pros and cons of the dominant use cases and evaluation criteria—e.g., pro-active vs. passive Data Governance, end-to-end asset lifecycle management, business metrics vs. IT metrics, etc.
  • Assessing the impact of IT mega trends on Data Governance solutions—e.g., Big Data, Cloud, Social, Mobile, real-time, etc.
  • Orienteering the dogma of both mega vendor solutions (e.g., IBM Master Data Policy Manager, Informatica Data Director, SAP Master Data Governance, SAS Data Governance) & more pure play (e.g., Collibra Data Governance Central, Kalido Data Governance Director)

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