Five “Whys” of Data Cleansing
Data scientists claim that they spend 80% of their time cleansing data and the other 20% of their time complaining…
agile
Why You Should Care About Data Modeling
Many software developers distrust data architecture practices such as data modeling. They associate these practices with rigid and bureaucratic processes…
Introduction to Data Technical Debt
“Technical debt” refers to the implied cost of future refactoring or rework to improve the quality of an asset to…
The Book Look: Data Model Storytelling
Larry Burns’ latest book, Data Model Storytelling, is all about maximizing the value of data modeling and keeping data models…
Agile Business Facilitated by Information Architecture & SAFe
This article attempts to analyze and make sense of a harmonization between Information Architecture and SAFe, and will address how…
Better Estimates Through the Art of Guesstimation
For years, I have been involved with estimating a wide variety of things. I have read about and then experimented…
Why Disciplined Agile?
This article explores why you should consider adopting the Disciplined Agile (DA) toolkit from several points of view: Why Should…
Data Predictions for the Next Decade
The following are a set of predictions for the coming decade from respected data analytics expert/veteran CEO/VC partner, Dr. Buno…
Challenges of Agile Project Management
Being agile in today’s market is not an option; it is a competitive advantage you cannot afford to miss. When…
You Can’t “Cherry Pick” Agile Projects
When you are first adopting agile techniques in your organization a common strategy is to run one or more pilot…