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Evolving Data Governance for the Big Data Enterprise

Scott Lee (Knowledgent), Rachel Haines (EMC)
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Data Governance adds value to enterprise information assets by connecting uniquely human intelligence to data triage and mark-up challenges – making the data work for a variety of use cases by assuring its interoperability. Yet as data volumes increase exponentially in volume and variety, Data Governance must do more. Without sacrificing that golden core of specialized human acumen, it must become more automated, more context-aware, and more intelligent. Some of that burden will rest on the data stewards, and even more will be required of Data Governance’s supporting technology stack.

Taking lessons from such varied sources as municipal building codes and game theory, Data Governance SME Rachel Haines and information strategist Scott Lee will discuss their vision for the bright future of Big Data Governance. Such a future…

  • In which highly advertent, intelligent processes will constantly be at work to improve the enterprise’s semantic metadata assets
  • Where context is king and all data leverage will be sensed, tagged, and understood as part of a conversation and locale
  • That enables governance and on-boarding of third party, poly-structured, external, and proprietary data as easily and thoroughly as simple internal, structured enterprise data
Photo of Scott Lee

Scott Lee

Partner - Analytics & Visualization, Knowledgent

Scott Lee is an Information Strategist at EMC Corporation. Working in the intersecting fields of data asset management and enterprise information management (EIM), Mr. Lee works with clients worldwide on their most challenging data monetization, advanced analytics, and information value chain projects. His career spans 17+ years of consulting experience, with a focus in ensuring information value, availability, and quality in challenging climates such as post-merger integration and global IT / process change programs.

Photo of Rachel Haines

Rachel Haines

Data Governance Practice Lead, EMC

Rachel Haines is the Data Governance Practice Lead at EMC Corporation. Her recent efforts have focused on the creation of EMC’s propriety Data Governance delivery models and methodologies for the mentoring of clients in the design and implementation of enterprise-wide Data Governance Programs across various industries. Ms. Haines has more than 28 years of experience in end-to-end software development lifecycle and systems design and implementation in roles ranging from project manager and business analyst to software engineer.