Big data should be about solving specific problems, not just jumping on the technology bandwagon. Here are six issues to consider as you plan or refine big data projects.
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Predicting the future is near impossible -- but that doesn‘t stop us all from having a red hot go. Human beings have been predicting the future since the beginning of history and the results range from the hilarious to the downright uncanny.
One thing all future predictions have in common: they‘re rooted in our current understanding of how the world works. It‘s difficult to escape that mindset. We have no idea how technology will evolve, so our ideas are connected to the technology of today.
Apple enjoys a prominent position in the smartphone and tablet markets, but larger enterprises who want to purchase those products often find the process both more difficult and more expensive than dealing with more traditional vendors. Here are some tactics to make the experience a little less painful.
We noted earlier this week that putting newly-hired big data experts into your existing analytics team was a recipe for disaster. Here's an added warning: don't just hire a single data scientist.
Showrooming is the strategy used by every cost-conscious shopper these days: checking out goods for suitability at a physical retail store, but then shopping online to find the best deal. It's difficult for any Australian to compete on price with a giant like Amazon.com, but that doesn't mean it's impossible. Here's what to do (including why price matching is a bad idea).
The NZ Transport Agency avoided a $70 million rebuild of its driver and vehicle registration system via a carefully-planned migration that moved ageing mainframe apps onto a modern Windows server environment. Its experience provides 10 useful lessons in how to manage large-scale app migrations while minimising risks and costs.