What’s Driving Big Data in the Enterprise – and Why Now?

Big Data on Ulitzer

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BigData Authors: Elizabeth White, Yeshim Deniz, Zakia Bouachraoui, William Schmarzo, Liz McMillan

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Big Picture for Big Data

Big Data has been gaining steam recently. According to Visible Technologies, the use of the "Big Data" term in US was increased by more than 12 times in the last 12 months. Inevitably, Big Data also introduces bigger challenges. It has become a big issue faced by every organization as to how to systematically assess the aptness of Big Data and how to effectively take advantage of Big Data. It is vital to take a holistic view on this topic and employ a methodical approach of strategization and execution.

An overarching framework consists of 4 stages in an incremental fashion: Feasibility, Roadmapping, Operationalization, and Governance (FROG).
  1. The first Feasibility stage performs the suitability evaluation along with comprehensive risk assessment and impact analysis. 
  2. In the Roadmapping stage, the target state is formulated, which drives the formation of a phased plan. The Big Data lifecycle model is established with the metrics defined. 
  3. The Operationalization  stage deals with the SDLC process, Reference Architecture, and readiness boosting for accelerated ramp-up.
  4. In the final Governance stage, an efficient organization model is implemented with right resources retooled and pragmatic program management routines.
For more information, please contact Tony Shan ([email protected]).

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More Stories By Tony Shan

Tony Shan works as a senior consultant, advisor at a global applications and infrastructure solutions firm helping clients realize the greatest value from their IT. Shan is a renowned thought leader and technology visionary with a number of years of field experience and guru-level expertise on cloud computing, Big Data, Hadoop, NoSQL, social, mobile, SOA, BI, technology strategy, IT roadmapping, systems design, architecture engineering, portfolio rationalization, product development, asset management, strategic planning, process standardization, and Web 2.0. He has directed the lifecycle R&D and buildout of large-scale award-winning distributed systems on diverse platforms in Fortune 100 companies and public sector like IBM, Bank of America, Wells Fargo, Cisco, Honeywell, Abbott, etc.

Shan is an inventive expert with a proven track record of influential innovations such as Cloud Engineering. He has authored dozens of top-notch technical papers on next-generation technologies and over ten books that won multiple awards. He is a frequent keynote speaker and Chair/Panel/Advisor/Judge/Organizing Committee in prominent conferences/workshops, an editor/editorial advisory board member of IT research journals/books, and a founder of several user groups, forums, and centers of excellence (CoE).