Access "BI projects require open mind, deft touch"
This article is part of the May 2012, Volume 13 issue of BI and big data: Enterprise CIO Decisions Vol. 13
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 >>>
Premium Content for Free.
Forging a BI strategy in a user-centric, tablet-crazed, big data world
by Linda Tucci
Driven by business pressures and user demand for BI and mobility, many companies are developing their BI strategy at what seems like warp speed.
- Forging a BI strategy in a user-centric, tablet-crazed, big data world by Linda Tucci
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.
- BI projects require open mind, deft touch by Niel Nickolaisen
Mobile BI strategy showcases ways IT can benefit the business
by Karen Goulart
OFS Brands Application Manager Tim Hopper explains why the national furniture supplier pursued a mobile BI strategy and the ways it's paying off.
Data silos in big data analytics: Now you see them, now you don't?
by Linda Tucci
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.
- Mobile BI strategy showcases ways IT can benefit the business by Karen Goulart
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 ...