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Big Data: Executive Permission Not Required
I fancy myself a student of technology. I remember how, in the 1990s, the CRM, ERP, and BI genies were let out of their bottles. There was just no going back. So, are Big Data solutions like Hadoop,...
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Healthcare: Ripe for Disruption via Big Data
Many industries are in need of a swift kick in pants that Big Data can–nay, will–bring. It’s hard for me to think of a bigger target than healthcare, an industry that in the US accounts for a...
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Enterprise 2.0: A Report Card
Disclaimer: The following post is based exclusively on my own observations and discussions with colleagues. In other words, this post is not a to be a survey or scientific study. As I write in The Next...
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Expand Your Data Focus
“The outward work will never be puny if the inward work is great.” –Meister Eckhart Like many people in the enterprise IT world, I have spent a great deal of time looking inward with my clients. At...
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Demystifying the Data Scientist
Odds are that you’ve heard the increasingly trendy business term data scientist. To be sure, there’s no shortage of myths around them, but I have yet to meet very many people who can answer in plain...
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On Success, Clarity, and Simplicity
There’s no shortage of “as-a-service” terms infecting permeating the tech and business landscapes these days. Troll around the web or a social-media site for a few minutes and you’ll find a gaggle of...
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How to Handle Support for Decommissioned Enterprise Apps
Microsoft recently nixed support for SQL Server 2005. You might not care about the announcement if your organization runs dB2, Oracle, MySQL, or another backend database. Also, if it had upgraded from...
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Event Stream Data: What is it and why should I care?
Events, dear boy, events. —British Prime Minister Harold Macmillan, when asked by a reporter what would influence his government’s decisions the most. For a long time, most business folks have thought...
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Why Analytics Today Are More Democratic
Introduction In my last post, I discussed the need for IT departments to meet their constituents’ needs. If they cannot, then it’s reasonable to expect their lines of business to go elsewhere. Let’s...
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The Case for Data Lakes
Introduction In my last post, I briefly defined a data lake and described how it differs from a traditional data warehouse. Today I’ll make the case for using one and offer a few words of caution...
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