Data Scientists can now create Garbage from Truth itself!!! I call it TIGO : Truth In Garbage OutIs the worthy discipline of Data Management and it’s wiser sidekick Data Governance fighting a losing battle? Well it might just be…because now you can dedicate much effort to getting such foundational stuff right and have it all

In the first article of this series on DW/BI regression testing, DW/BI regression test planning was defined accordingly: Testing performed after developing functional improvements or repairs to data and reports. Its purpose is to determine if changes have regressed other attributes of data and reports. A repetition of tests intended to show that the software’s

While almost every country in the world is struggling to keep up with the consequences of the deadly COVID-19 disease spread, efforts continue to find a cure or a vaccine or, at the least, methods that can limit the uncontrolled multiplication of the virus. The dilemma that many countries face today is twofold – explore

Let’s get to the point where effort creates agreed value…I’m always very encouraged when professionals from different architectural disciplines can converge on common ground. This can be rare event, so when it does happen, I like to call it out. Such an event has happened recently with a contact coming from the Business Architecture discipline,

Regression testing on large data integration DW/BI development projects is challenging. The number of test cases is often massive and many change impacts may be widely spread. For high-level integration regression testing, the retest-all approach is always time and resource consuming. To counter challenges with regression testing, this article proposes test scenarios based on changes

Technology and distributed work environments are making businesses and startups operate on a global scale. With the advent of new channels of communication, a crucial challenge that remains is the need to communicate and be precisely understood by your own teams within the organization. Many global enterprises are recognizing and addressing this need with a

The need for a Master Data Management (MDM) implementation exists for any company capturing the same data about the same entity, but storing it in different systems. I’ve seen organizations invest in MDM when they only had 2 separate applications with some overlapping master data and other larger organizations having to cope with hundreds of

There’s been a lot of talk about scalability recently, some emerging technologies even use it as a differentiator against the established big players…but what constitutes a truly scalable solution and why does it matter? I’ll start with the latter first…if a method or solution or database or tool is not scalable to meet all the

I often encounter these terms: digitization, digitalization, as well as digital transformation. That’s not the problem as I’m always interested in reading an article or listening to a presentation or a webinar about these topics. The problem is that a lot of times they are used interchangeably or incorrectly. Let’s explore what is the difference

…What was the question again? Within the Enterprise Information Management space, one thing is clear…data experts can’t do it all on their own…they need the business to help them. After all, Data is a People business. The Knowledge lies with the business and they have accountability for the business data that represents that knowledge. The