Adapting Data Strategy for Emerging Technology & Business Needs

As the data focused industries evolve, the ability to fully utilize the vast data available throughout an enterprise continues to be imperative to organizations survival. Organizations today need a proactive and holistic approach to identify, influence, and improve the usage of data to support and enable an evolving business vision and strategy by delivering measurable value through new and innovative information methods.

This active approach is even more essential now given the rapid pace of new technology (Big Data, data streaming, mobile, predictive & prescriptive analytics, cloud, others) organization are trying to leverage and develop a competitive advantage. Companies need to actively adapt their data strategies components (guidelines, methodologies, terminology, data catalog, data patterns, data standards, and technology) to meet these new challenges and potential business opportunities for new utilizing the enterprise data asset. Determining the best architecture components to meet business expectations while addressing the cultural and political realities are all required to make your data strategy program successful and organizationally valuable.

Michael Jennings is a recognized industry expert in enterprise information management. He has more than twenty-five years of information management experience in various industries. Mike speaks frequently on enterprise information management concepts and practices at major industry conferences. He is a co-author of the book "Universal Meta Data Models" (2004) and a contributing author to the books "Building and Managing the Meta Data Repository" (2000) and “The DAMA Guide to the Data Management Body of Knowledge - DMBOK” (2009). Mike was recognized with the 2013 DAMA International Professional Achievement Award and as one of Information Management Magazine’s 25 Top Information Managers for 2012.