Data Lifecycle Management focuses on data governance, data cleansing and quality, and data stewardship. The rubric applies to articles that focus primarily on the high-level preparation, flow, and use of data through an organization, rather than with one single facet such as storage or analysis.
In my previous article, I discussed Waterfall, WaterScrumFall, big-A Agile, and business agility. Dissonance abounds among organizations struggling to transition their approaches to building solutions… Read More »Can Starting with Waterfall Lead to Better Agile? Part II
Waterfall, WaterScrumFall, Agile and Agility We should all be aware that business agility is the primary enabler for companies seeking sustainability. In the past, companies… Read More »Can Starting with Waterfall Lead to Better Agile? Part I
Software licensing exists in the space between digital services and the real world. Often, a license will denote the number of active users permitted to… Read More »The Technological Arms Race of Software Licensing
Stakeholder Journey Maps are a fabulous tool to intimately understand what a stakeholder is trying to accomplish (their objectives and intentions) and the steps/actions/decisions that… Read More »Using Stakeholder Journey Maps to Re-invent, not Just Optimize, Your Business Processes
Agile, Agile 2 and Agility, Part III In the previous articles in this series, we discussed the role that agile digital delivery capabilities plays in… Read More »Why Agile Often Fails and What to Do When It Happens
If you are employed as a data scientist and have survived (or strived!) in your position for more than a year, chances are you are… Read More »18 Differences Between Good and Great Data Scientists
In the previous article in this series, we discussed the difference between Agile and business agility and how Agile 2 addresses some of the omissions… Read More »Agile, Agile 2 and Agility, Part II
In my first blog of the series “Fallacy of Becoming Data-driven – Part 1: Becoming Value-obsessed”, I preached about the critical importance of reframing the… Read More »Fallacy of Becoming Data-driven – Part 2: Cultural Transformation
If you are running a business today using Agile methods, it’s likely that you are not getting the productivity boost from it that you should,… Read More »Agile, Agile 2 and Agility, Part I
This is part 1 in a multi-part series on the value-realizing, collaborative power of decisions. My mom used to say, “If it was a snake,… Read More »Decisions Part 1: Creating an AI-driven Decision Factory
