Data Governance Basics
Data governance (DG) can be a challenging initiative for any enterprise launching such a program, but DG is also challenging for enterprises with a fairly mature program in place. There are a lot of success factors that need to be met to achieve a highly mature and effective DG ...
An excerpt from Robert Smallwood’s upcoming book, Information Governance: Concepts, Strategies, & Best Practices, 2nd Edition (Wiley, 2019) There has been a great deal of confusion around the term Information Governance (IG), and how it is distinct from data governance. Some books, articles, and blogs have compounded the confusion by ...
Data Governance Articles
Business Intelligence (BI) became part of the core focus of IT departments in the late 1980s. BI encompasses a wide range of practices, technologies, and applications. Together, they help companies collect, analyze, and present information that, in turn, helps leaders make informed business decisions. Data Governance (DG), on the ...Read More → →
Master data management (MDM) is a key process for IG success in the IT department, which extends to involved business units. An emerging discipline, MDM came into prominence around 2010 to 2012, coinciding with the Big Data trend. The goal of MDM is to ensure that reliable, accurate ...Read More → →
I’ve worked in data governance most of my career—even before we had the term “data governance” (DG). Originally, I suppose we called it commonsense. It’s not second nature to everyone, so the DG discipline was built and evolved. It combines business aspects and technical aspects, but heavy emphasis ...Read More → →
A key element of data governance (DG) is collaboration. DG is not something that someone does alone, and it’s not a group of people you ask to fix data after you’ve made a mess of it. I talk about DG as being a lifestyle. When you embed DG into ...Read More → →