If you’re doing exploratory data analysis to help you decide how much data prep might be needed to make your data public, that’s one thing.
All in BDPM
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.
Challenges to DevOps May Be Deep-seated But Not Unexpected
After years in consulting and project management, though, I now view politics and culture as factors to be anticipated and managed rather than ignored. This is true whether one is planning an individual project or an enterprise wide portfolio management strategy.
Horatio Nelson, Dwight Eisenhower, SharePoint, and Big Data
There’s a lot more to collaboration than just providing a technology platform.
Developing a Basic Model for Data Analytics Project Selection
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.
Big Data Project Management - Where to Start? (Slide Deck)
A slide deck summarizing where I am on researching Big Data Project Management.
Introduction to PLANNING AND MANAGING BIG DATA PROJECTS: SELECTED ARTICLES
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.
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.
Understanding the Challenges of Big Data Project Management: The Business Case
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.
Big Data Project Management: What Works? (Slides)
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.
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.