About 41 results
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Double-down on your Big Data resources
Take some time today to re-evaluate the value on your Big Data strategy--you might want to double down on your resources.
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The Big Data magic act
The organization that wants to achieve causal ambiguity must focus on big data innovation, retaining key analytic talent, and protecting the organization's information prowess.
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With Big Data, what's better--qualities or quantities?
When selecting the data scientists that will fuel for your Big Data innovation and/or strategy, you must make sure you understand how they feel about research.
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Get a woman's touch on your Big Data team
If there's a gender imbalance on your Big Data strategy team, you're doing yourself a great disservice.
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To get Big Data buy-in, IT should let go of proof of concept
If your company is currently experimenting with Big Data in an attempt to prove some sort of concept--interrupt this right away. If you're going to prove something--it better be va...
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Goldilocks and the three business analysts
John Weathington has some suggestions for you when you're surveying the landscape of business analysts to augment your team of information specialists.
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Big Data is not just about the customers
Even if you have great ideas for how to use your Big Data once you have it in place, have you considered where this data will come from?
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Life after your Big Data strategy
Where will your Big Data resources go after your strategy successfully completes?
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Framing your Big Data strategy for success
As an information strategist, John Weathington frequently sees organizations who are unsure of their Big Data strategy six months into the effort. Here are his tips for framing Big...
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Recouping your Big Data investment in one year
Although the horizon for your Big Data strategy may be three to five years, there's no reason why you can't recoup your investment within the first year.