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BI projects require open mind, deft touch
This article is part of the May 2012, Volume 13 issue of CIO Decisions
The Real Niel Niel Nickolaisen If the myriad CIO surveys performed recently are to be believed, analytics projects are one of the CIO's top current priorities. I have found that one key to ensuring such business intelligence projects start and end well is remembering that analytics projects differ greatly from other types of IT projects. How are they different? Let me count the ways: 1. Analytics projects can be highly nuanced. Other IT projects -- accounting or production planning, for example -- follow a fairly well-understood process. Analytics projects, on the other hand, reflect the way humans make decisions. And because humans make decisions in a nearly infinite number of ways, analytics projects often do not follow a prescribed path. Instead of mapping business rules, transactions and workflows, analytics projects require that we stay in very close contact with our project stakeholders so the project can track to the meanderings of their human minds. 2. Analytics projects might evolve in unanticipated ways. Both the ...
Features in this issue
Driven by business pressures and user demand for BI and mobility, many companies are developing their BI strategy at what seems like warp speed.
Most organizations sit on a gold mine of business intelligence. Extracting it requires knowing how analytics projects differ from day-to-day IT work.
News in this issue
OFS Brands Application Manager Tim Hopper explains why the national furniture supplier pursued a mobile BI strategy and the ways it's paying off.
Big data makes the problem of data silos even bigger. Or does it? Either way, CIOs must make big changes to get the most out of big data analytics.