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Big Data Projects – When You're Not Getting the ROI You Expect

While there are myriad reasons why a specific big data project fails, it’s the brave director that knows exactly when to pull the plug and examine what happened in terms of failure to learn for future endeavors. The challenge, however, is that some...

Posted August 8, 2016    

A Two-Stage Approach to Financial Return for Data Lakes

Depending on whether you “build” your data lake in the cloud or on premise, it could take anywhere from six months to a year—and in some cases longer to be fully deployed. In our “want it now” culture, this timeframe might be too long for some CIOs...

Posted July 11, 2016    

Big Data ROI? Not Likely in Year 1

  Depending on the size and scope of your forthcoming big data project, in most instances it’s unfair to expect positive cash flows in year one. That’s because in addition to a potentially steep implementation and learning curve, it takes...

Posted June 2, 2016    

NPV Considerations for Open Source Big Data Technologies

  Mention the words “open source” and all kinds ideas probably come to mind such as “free”, “agility”, and “speed”. However, with any IT project, it is important to look at business benefits vs. costs in a manner that goes beyond...

Posted May 2, 2016    

3 Big Data Potholes to Avoid

 Potholes—depending on the size—can really damage your automobile tires, rims and alignment. Even worse, sometimes drivers don’t see them lurking, until after an incident occurs. Similarly, a bumpy ride may be in store for companies building...

Posted December 16, 2015    

Is Cloud Sameness Dangerous to Competitive Advantage?

The rise of public cloud computing is awe-inspiring. Companies like Amazon, via Amazon Web Services, are “turning virtual iron into gold” with exponential growth in revenues and operating income. However, as more companies turn to cloud computing,...

Posted November 9, 2015    

Wasted Breath: Data Alone Won’t Convince

In a data driven world, rhetoric is often chastised as “fluffy talk”. In fact, as more organizations adopt a culture based on fact-based decision making, the mantra of “show me the data” is increasingly prevalent. That’s too bad though, because in...

Posted October 19, 2015    

Less Dogma Equals Better Decision Making

  Unless you’re Donald Trump—a fellow who’s always right, even when he’s wrong—there’s not much benefit to dogmatism. That’s because some of the biggest breakthroughs come as a result of challenging assumptions; especially those that are...

Posted August 17, 2015    

A Day Late and Big Data Architecture Short

As humans, we have no problems staying busy. In fact, most of us are wired to “do something first” and ask questions later. In other words, our busyness often comes at the expense of a well thought out plan to tackle projects from the mundane to...

Posted June 29, 2015    

Why Returning $1 Trillion to Shareholders is a Bad Idea

According to the Financial Times, companies are on record pace to return over one trillion dollars to shareholders this year via share buybacks and dividends.  With creaking IT infrastructures and under-investment in other areas such as plants...

Posted May 4, 2015    

Problems with the Language of Probability

The language of probability to statisticians and most scientists is clear—they understand terms such as “correlation”, “statistically significant”, “confidence” and more. However, using probabilistic terminology to communicate the “likelihood” of an...

Posted April 6, 2015    

Hygienic Hadoop Data Lakes Not Just Happenstance

It is often thought that Apache® Hadoop based data lakes are a potential panacea to thorny data management issues long germane to relational databases. After all, the (mistaken) belief goes, you can simply dump all your data into Hadoop’s file...

Posted February 23, 2015