In the mad-dash to “do something” in big data without a strategy, IT managers and business users alike seem to continuously jump on the latest technology (today it’s Spark) and thus become inevitable case studies for Gartner’s well documented hype cycle.[read more]
With creaking IT infrastructures and under-investment in other areas such as plants, equipment, employee training and more, excessive share buybacks aren't just a flawed strategy; they are a dangerous one for the future health of companies across the globe.[read more]
Using probabilistic terminology to communicate the “likelihood” of an event occurring to those untrained in understanding such terms, can in some instances lead to the ruin of careers, companies and in worst cases—loss of life.[read more]
If you work with Hadoop on a daily basis you already know that data cannot simply be dumped into Hadoop’s file system and be of high value to rank and file business users. To be sure, data management is crucial if you’re planning on Hadoop serving as a true lake or “hub” for all your organization’s data.[read more]
While big data technologies have enjoyed plenty of hype, there’s a new reality setting in regarding getting more value from big data investments. With this in mind, it's OK to step back for a moment, pause your programs for a time if necessary, and—yes, even change your mind about big data.[read more]
Trying to internally “sell” the merits of a big data program to your executive team? Numbers and facts probably won’t make the sales pitch complete. You will also need to appeal to the emotional side of the sale by incorporating the sounds of big data.[read more]
Forecasting is hard, and even those who sometimes get it right, often fail on a continuous basis. But fear not, there are three steps you can take to drastically improve your forecast accuracy, but you’ll have to be willing to put in the work, and possibly put your ego aside to get there.[read more]
Instead of investments in IT, machinery, buildings and more, CEOs and CFOs are content to predominantly spend cash on stock buy-backs and/or dividends. Deferring CAPEX spend, or “sweating the assets” will work for a little while, but it’s not a strategy for long-term success.[read more]
In the financial world, liquid assets can allow companies to react and capitalize on market opportunities. Liquidity in IT means that companies have enough extra compute firepower, people resources and are agile enough with IT processes to respond to unplanned events and demand, in whatever shape, form or order they arrive.[read more]
There’s much work to do before you can take advantage of cloud resources, and just-in-time planning doesn't cut it. With the flexibility, speed and power that cloud offers, there’s really no excuses to let opportunities to capture unplanned demand pass you by.[read more]
The rule of three is a teaching, writing or presenting device where a key concept is broken into three easy to remember pieces. Does the rule of three apply to the fields of technology and business? Going forward, let’s be sure to use more tricolons in our training materials, internal presentations and customer whitepapers.[read more]
Invariably, there are hundreds of additional arguments proffered by big data vendors and technology zealots inhabiting organizations just like yours. However, there are few crisp binary choices in technology decision making, especially in today’s heterogeneous big data environments. Beware big data zealots that counsel you otherwise.[read more]
Increasingly, the mantra of “let the data speak for themselves” is falling by the wayside. There are dangers to reputations, companies and global economies when researchers and/or statisticians either see what they want to see—despite the data, or worse, gently massage data to get “the right results.”[read more]
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