Home Page


My interests: Project, program, and data management; market research, digital strategy, and program planning; change management; technology adoption; books, movies, nature photography, and letter writing.

My current focus: big data project planning & management. Selected documents and document collections in .pdf format are here. Also, follow me on Linkedin, Twitter, and Google+.




  • Excerpt: “One of the people I would like to meet in heaven and have a beer with is author Shelby Foote.”

Google Security Checkups and Your Devices

  • Excerpt: “I really do wish I knew what Google was doing with this information it derives about my online behavior. I don’t mean just tracking when someone unknown uses my Google account, but rather, what Google itself does with my data. In the interest of transparency, is that too much to ask?”

Learning From General Electric’s Big Data Challenges

  • Excerpt: “Where once you sold machinery, now you sell the means to control the machines. Plus, you can now bring in contextual and environmental information to augment and help manage not only the machines you sell but also the machines (potentially made by other companies) that interact with your machines.

Can Government Regulations Drive Improvements in Enterprise Data Governance?

  • Excerpt: “Government regulators need to be sensitive to the costs of complying with and overseeing the regulations they impose on data management, as do the organizations that are regulated. Costs related to data oversight, quality control, standardization, security, and privacy all need to be considered in comparison with the quantitative and qualitative benefits that will be generated. “

How Important Is “Perfect Data” To Your Data Analytics Program?

  • “While I’m all for taking a strategic view when considering how to best organize and manage an organization’s data, it’s also possible that taking too “strategic” a view can lead you down the path of too much analysis, especially if you have to document for the first time the degree to which your various systems and applications depend upon each other for data.”

What Goes Up Must Come Down: Comparing ‘Big Data’ with ‘Web 2.0’

  • “While I expect that the term “big data,” like the term “web 2.0,” will be with us for a long time, it use may very well decline as different organizations move ahead by incorporating improved analytics into both operations and their decisionmaking — regardless of what they call it.”

Regarding Big Data, One Manager’s “Resistance” Is Another Manager’s “Caution”

  • “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.”

Should  Clinical Trial Data Sharing Be a Precondition for Refereed Journal Article Acceptance?

  • “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.”

Challenges to DevOps May Be Deep-seated But Not Unexpected

  • “More traditional or older organizations, especially those at least partially dependent on integration of newer with legacy data management technologies, may face greater challenges involving the need to upgrade and/or introduce analysis resources and technologies with which they have little experience.”

Horatio Nelson, Dwight Eisenhower, SharePoint, and Big Data

  • “Some organizations will be well prepared to make use of such tools especially those for which data and data analytics are already accepted as standard operating procedures. For others, significant challenges might exist due to continue reading

Developing a Basic Model for Data Analytics Project Selection 

  • Turning attention to the “front end” of big data project management by focusing on strategy & planning.

The Tip of the Spear: Connecting Big Data Project Management with Enterprise Data Strategy

  • The challenge is not how to manage “big data” projects, the challenge is to decide which big data projects to manage. 

Understanding the Challenges of Big Data Project Management: “The Data Must Flow”

  • “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.”

Needed: Better Integration of Project Management and Data Management

  • These days when you read about big data or if you attend conferences or webinars you’re 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.