What kind of security do we need for this conversion? In fact, where are the security people? Including security personnel upfront in any conversion project can sure save some time and heartache later. It is important to include security for the following: Source system access – You must be able
Data profiling is essential. So why do so many data quality teams fail to get the most out of this crucial technique? In my short video, you’ll discover the answers to unlocking the full potential of your data profiling efforts. By broadening and deepening your knowledge of data profiling with
What are all of the companies in San Francisco trying to make the Internet of Things happen? Google it if you like, but you're only like to get a simple list of companies, no doubt in an SEO-friendly order. What if you could see those companies in a more comprehensive
Nowadays we hear a lot about how important it is that we are data-driven in our decision-making. We also hear a lot of criticism aimed at those that are driven more by intuition than data. Like most things in life, however, there’s a big difference between theory and practice. It’s
In my last post, I shared some thoughts about challenges associated with the lack of management for reference data, such as reinterpretation of semantics and the inconsistencies that crop up when multiple copies are used. All of the challenges I mentioned are indications of a need for improving the enterprisewide
Working from home confers significant benefits. Two of my favorites are a two-second commute and the ability to take afternoon naps without offending judgmental coworkers. Among the drawbacks, though: I'm not going to randomly meet someone at the office. Like many single professionals, I have dabbled in the world of
Many people, myself included, occasionally complain about how noisy big data has made our world. While it is true that big data does broadcast more signal, not just more noise, we are not always able to tell the difference. Sometimes what sounds like meaningless background static is actually a big insight. Other times
I sometimes refer to reference data as a “celebrity orphan” within an organization because reference data sets are touched by many business processes and applications, yet remain largely unowned and unmanaged. Few organizations have a truly formal methods for management and authority for reference data. This poses a conundrum: a
If you work in data quality long enough you’ll meet detractors of data quality software. The viewpoint in this camp is that poor quality data should be driven out at the time of design, not retrospectively detected and fixed. They perceive data quality tools as a costly overhead, something that
In my last three posts on data ethics, I explored a few of the ethical dilemmas in our data-driven world. From examining the ethical practices of free internet service providers to the problem of high-frequency trading, I’ve come to realize the depth and complexity of these issues. Anyone who's aware of these
