These are drafts of the slides I’ll be using at the Data Science DC Lightning Talks on September 29, 2015.
Big Data Project Management Research Report #2: What’s In & What’s Out?
“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.
Big Data Project Management Research Report #1: Setting the Stage
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.
"Big Data Project Management" Interview Questions Set #1
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.
You Need a Project Manager on Your Big Data Team
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.”
Needed: Better Integration of Project Management and Data Management
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.
Is Loss of Government Economic Survey Data Inevitable?
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.
The Commerce Data Advisory Council's 2nd Meeting: Storytelling, Staff Recruiting, and Complex Processes
There’s an understanding represented by this group that the data resources being stewarded by Commerce programs both reflect and are critical inputs to U.S. technical and industrial competitiveness. Hopefully this group will be able to facilitate an exchange of useful “lessons learned” and resources across the varied Commerce programs.
Ten Questions for People Who Manage Large Data Intensive Projects
I’ve been researching how to manage projects where the goal is to make large amounts of data open, accessible, and useful.
10 Basic Suggestions for Planning and Managing Data Intensive Projects
It is also impossible for the project manager to ignore how data management and data governance are handled in the organization as a whole.
Problems and Opportunities with Big Data: a Project Management Perspective
Being able to make wise investments in “big data” capabilities may require more collaborative approaches to project management and decisionmaking than are currently being practiced.
Are you still distributing documents in .pdf format?
Are you still using .pdf documents as the only format for distributing your documents online? Here are some possible implications of such a strategy:
How I'm Using the New Google+ "Collections" Feature
Google+ recently introduced an easy to use “Collections” feature. It gives users the ability to create specialized online public collections of linked articles that can in turn be subscribed to and read by others.
Managing Data-Intensive Programs and Projects: Selected Articles
I’ve created this special compendium of posts that are relevant to planning and managing data related programs and projects. There are four groups:
I heard David Lebryk of the U.S. Department of Treasury speak on Data Act implementation this morning at the Johns Hopkins/REI Systems Government Analytics Breakfast Forum in Washington DC.
Data Program Governance and the Success of Shared Digital Services
If the tip of the data management “spear” is analyzing data in new and interesting ways to help solve important problems, someone still has to manufacture the spear, carry it, and train throwers to hit the target.
Who Gets Credit for Open Data?
The lack of easily accessible source and context information might eventually become a problem. Public programs ultimately have to depend on public funding. If the public doesn’t know the data they rely on are coming from public sources – which they pay for with their taxes — how can they be expected to make intelligent decisions about which programs to fund?
Here's Hoping for No More Wasted Space
I love reading stuff like Robert Krulwich’s “A Baby Hangs Between Life and Death in Space.”
The landscape is changing. It’s getting more complex. We need guidance. This show is one of the best ways to make sense of what is still a very confusing situation – and it’s entertaining as well as informative.
Managing Open Transportation Data at the U.S. Department of Transportation
Such challenges are not unique to the Federal Government. All large organizations desiring to take a more strategic position in how data — the lifeblood of organization processes — are managed and released will have to address such governance issues.