My consulting, project management, and research focus on planning and managing data intensive projects. Currently I’m researching big data project management.
My contact information is here. A complete index to this web site’s technology related articles is here or use the search engine located here. This site also includes occasional book and movie reviews.
This is not intended as criticism of those who find Facebook useful for publishing and marketing. After all, “Some of my best friends use Facebook.”
As hard as it sometimes for those of us who are technically inclined to admit, management doesn’t necessarily care what tools we’re using. Nor does management care how we manage our projects.
“Boiling the ocean” by attempting to make too many changes early on is tempting. Incremental steps in delivering analytics-based value may actually accelerate change in the long run.
Some of what I’ve learned so far does seem to be unique to data intensive projects. At the same time, many of the challenges posed by “big data” projects will be recognizable to project managers based on previous experience with other large or complex projects.
I’m researching how people plan and manage data-intensive projects. I’m calling this my “big data project management survey.” I’ll publish the research results here. Let me know if you would like to participate or if you are interested in the results; my contact info is at the end of this article.
The firewalled article by Ian Thomas, The seven people you need on your Big Data team, is an entertaining and insightful overview of needed technical skills if you are tasked with developing a team that “… takes data from various sources … and turns it into valuable insights that can be shared broadly across the organization.”
These days, still, when you read about big data or if you attend conferences or webinars you’re much more likely to read about products and tools. You don’t hear as much about “back room” management issues you need to address to make sure all the members of the project team are sharing information and marching in the same direction.
While it may be inevitable that all government data collection efforts have to tighten their belts, hopefully the process of making tough prioritization decisions will be done in light of rational factors such as the value of the data to users, the cost of collecting it, the availability of alternatives, and the manner in which data management processes are governed.