Premium Content

Access "BI projects require open mind, deft touch"

Published: 11 Oct 2012

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 nuanced nature of human decision ... Access >>>

Access TechTarget
Premium Content for Free.

By submitting you agree to receive email from TechTarget and its partners. If you reside outside of the United States, you consent to having your personal data transferred to and processed in the United States. Privacy

What's Inside

    • BI projects require open mind, deft touch by Niel Nickolaisen

      Most organizations sit on a gold mine of business intelligence. Extracting it requires knowing how analytics projects differ from day-to-day IT work.

More Premium Content Accessible For Free

  • Social networks in the enterprise: Collaborate seamlessly

    CIOs have swung from dismissing social networks in the enterprise to applauding and seizing on their potential to boost business productivity and ...

  • Enterprise architecture for big data: Build it or buy it?

    CIOs looking to make mountains of big data actionable are deliberating whether it's best to build their own enterprise architecture for big data or ...

  • The hybridized cloud: Where private and public cloud coalesce

    The hybridized cloud was once regarded as a short-term bridge between on-premises computing in the enterprise and the untested landscape of the ...