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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    

Is Your IT Architecture Ready for Big Data?

Built in the 1950s, California’s aqueduct is an engineering marvel that transports water from Northern California mountain ranges into thirsty coastal communities.  But faced with a potentially lasting drought, California’s aqueduct is running...

Posted January 5, 2015    

Changing Your Mind About Big Data Isn’t Dumb

After all the hype about big data and its mental cousin Hadoop, some CIOs are getting skittish about investing additional money in a big data program without a clear business case.  Indeed, in terms of big data it’s OK to step back and think...

Posted December 8, 2014    

Storytelling with the Sounds of Big Data

Trying to internally “sell” the merits of a big data program to your executive team?  Of course, you will need your handy Solution Architect by your side, and a hard hitting financial analysis vetted by the CFO’s office. But numbers and facts...

Posted November 10, 2014    

3 Tips to Make You a Genius Forecaster

Both Ben Bernanke and Edward John Smith got it wrong. They made terrible forecasts that either wrecked the economy, or in the instance of John Edward Smith (his ship).  Forecasting is hard, and even those who sometimes get it right, often fail...

Posted October 13, 2014