Saugatuck’s research among user enterprises includes a fast-growing number of Big Data analytics projects, which are still mostly trials, PoCs, and other relatively limited, mostly conceptual instances – but with significant portent and potential. And too often, we see the leaders involved in planning and delivering these projects move from getting the basics in place to leaping forward well ahead of the immediate needs and practical business goals. They fail too often to stick with the practical needs and considerations – partly because these projects are new with unknown requirements, partly because they are swept up in possibilities and potential. Risk (including scope creep, cost, security exposure, resource hogging) too often begins to outweigh reward and reality, because so much of the risk is new, unseen or under-appreciated.
A key method of reducing and managing risk in any Cloud transition, but especially in Big Data projects, is to stay as practical as possible throughout the conceptualization, planning, and execution. A new Strategic Perspective from Saugatuck lays out three significant planning and management considerations that help enterprise planners stick to the practicalities while enabling the education and experience needed, and of course while enabling real business benefits.
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