Interest in the California Consumer Privacy Act (CCPA) is heating up. I wrote about CCPA almost a year ago, saying it is quite clear in what it sets out to do — and how it’s arguably the toughest privacy-related law any U.S. state has enacted. But given the fact CCPA goes into effect next January 1, it doesn’t appear to…
Data governance became mainstream around 2005 and has now become institutionalized in many organizations. Since it first became an enterprise-level activity, it has evolved to address emerging trends and concerns. With today’s big-data-fast reality, we are now at a point where a new generation of this practice is emerging: agile (or bottom-up) data governance. In its initial phase, data governance…
As data drives more and more of the modern economy, data governance and data management are racing to keep up with an ever-expanding range of requirements, constraints and opportunities. It is a little like a data version of the Cambrian Explosion, where data-centricity is giving rise to a rich variety of practices, each distinct and unique in its own way….
On June 28, Governor Jerry Brown signed the California Consumer Privacy Act (CCPA) of 2018 into law, considered by many to be one of the toughest data privacy laws in the U.S. Overview of CCPA The CCPA protects Californians’ rights to have access to and to delete the data companies collect about them. It also allows them to opt out of…
Data is abstract. We can’t touch it or feel it, so we form mental concepts of it. Similarly, we find it difficult to pin down data quality with its conflicting definitions and terminology. Yet, there are fundamental concepts of data quality that information management professionals should rely on. Data Quality’s Manufacturing Roots Data quality is difficult to define, in part,…
This is the second article in a two-part series on data-centric projects and our Data-Centric Development Life Cycle (DCLC) methodology. (Read part one.) DCLC is an iterative methodology for data-centric projects that brings data problems and opportunities to the forefront before development begins — rather than during testing or after production implementation.
This is the first article in a two-part series on data-centric projects and our Data-Centric Development Life Cycle (DCLC) methodology. DCLC brings a new approach to address the unique needs of data-centric projects — e.g., Data Lake, Big Data, Business Intelligence (BI)/Analytics, et al.
The recent United States presidential election was hard fought on both sides and generated a lot of emotion. It seems that divisions remain, but one thing both sides can agree on is the surprising lack of accuracy in the predictions about who would win and by how much. This seems to have dealt a considerable blow to the reputation of…
Since I first wrote this Information Management article almost two years ago, the topic of a partnership between the data governance (DG) and legal areas has become even more important. Ever-increasing laws and regulations around data make it more critical today for the groups to work well together.
When you think of “big data,” there’s nothing bigger than the massive amount of data on the web. So much to read and learn from, and so much for individuals and companies to want to bookmark or download to peruse and use later. Big, too, are the endless ways organizations want to use this information.
On April 21, Malcolm Chisholm tweeted “Very sad to see the passing of #Prince — a real genius. Here is my tribute to him as an examplar of #MDM.” The post Malcolm referred to was originally written in January 2008 and is reposted here with permission from information-management.com.