Articles
The rise of data products and product managers has occurred because traditional business intelligence projects were too siloed.
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According to a recent research, many data scientists are unhappy and feel under-appreciated. We take a look at why and what can you do to fix it.
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When it comes to inconsistency in the digital era, the simplest explanation is some organizations have the right people in the right places, and some don’t.
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Common data roles explained.
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Data science, when done right, can give businesses insights otherwise unachievable. But managers often fail to give their analysts the space to experiment
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We catch up with data experts who suggest ways for data scientists to communicate with data citizens.
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When hiring data scientists, vet candidates for passion, humility and don't sweat the tech talk.
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Business intelligence and data science often go hand in hand.
Both fields focus on deriving business insights from data, yet data scientists are regularly touted as the unicorns of big data analysis.
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Stories are legion of the shortage of data scientists, so you can’t blame me for being more than a little surprised when I found out that these wise men and women sometimes get put on hold when they want to run sophisticated queries.
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For marketers, it’s easy to feel under attack.
Virtually every new industry report emphasizes how much marketers spend on data analytics and how little they have to show for it. Every month, another expert jumps on the “Math Men” bandwagon, declaring that traditional marketing skills just don’t cut
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Big data has graduated over a few short years from an esoteric term of elite technorati to a household phrase found frequently on the front page.
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Perhaps the only universal truth about big data analytics is that it is a new field and everyone is still learning. That was true Monday as data scientists, quants and business intelligence managers gathered in San Francisco to swap ideas about what's working. While retail corporations dominated Monday's schedule, the
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IBM has just pushed competition for big data analytics business up a notch with the opening of its new Accelerated Discovery Lab (ADL).
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IBM is clearly concerned about the big data skills shortage. It has announced the addition of another 9 universities to its big data training program.
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