Given the wide variations that currently exist in most organizations in understanding the ins and outs of managing current data governance and analytics practices, it’s not surprising that bringing in potentially “disruptive” technologies will be even more of a challenge.
My interests: Project, program, and data management; market research, digital strategy, and program planning; change management; technology adoption; books, movies, & photography. Currently I’m focusing on big data project planning & management.
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Entries in Project Management (146)
To appreciate some of the implications of the recent proposal by the International Committee of Medical Journal Editors (ICMJE) to make consideration of journal article acceptance contingent upon the author’s agreement to share de-identified clinical trial data with other researchers, as reported by NPR, some context is appropriate.
A good place to start will be to get a good handle on the costs and benefits of introducing new big data related initiatives into the organization; the more realistic these costs and benefits, are the better.
There’s a lot more to collaboration than just providing a technology platform.
One of the benefits of focusing on behavioral outcomes as a way of assessing the effectiveness or usefulness of improved data analytics is that behavioral outcomes are potentially measurable.
I began researching “big data project management” when I started seeing publications and online discussions concerning big data project “failures” being attributed to the classic reasons for project failure such as scope creep, poor stakeholder engagement, and inadequately understood requirements.
“If data analysis is Big Data’s “tip of the spear” when it comes to delivering data-dependent value to customers or clients, we also must address how that spear is shaped, sharpened, aimed, and thrown – and, of course, whether or not it hits its intended target. We also want the processes associated with throwing that spear to be both effective and efficient.”
If what Nate Silver said in a recent presentation is true – “Big Data has Peaked, and that’s a Good Thing” – perceptions about big data are maturing.