Research

When it comes to cutting-edge analytics initiatives, you’re probably more inclined to think of companies like Amazon and Netflix, which have become synonymous with the savvy use of analytics to gauge customer affinity and deliver recommendations. But pharma companies are—or could be—well equipped to leverage data and analytics to deliver an even better informed and better targeted customer experience.

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Several years into the “Big Data” hype, analytics and data science professionals across the country are facing a changed landscape and wondering “what’s next?”

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Building Data Teams

By Tanya Cashorali, Feb 13, 2018

In the startup world, “unicorn” is a term used to describe a startup that grows quickly to achieve a one billion dollar or greater valuation. In data science, the term means something else.

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Is Real-Time Analytics A Money Pit?

By Bill Franks, Feb 08, 2018

Certainly, it is important to have analytics available in the timeframe needed for making decisions. For many years, it was too difficult and expensive to execute analytics anywhere near real-time and so everything was done using infrequent batch processes. As processing power has increased exponentially and costs have dropped to unprecedented levels, it is feasible to perform a wide array of enterprise analytics on a near real-time basis. However, many organizations today are vastly over-utilizing real-time analytics and are paying a price for it that, unfortunately, isn’t always recognized.

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If you’re in the analytics space, then you almost certainly have at least one “dashboard” customers use. I generally define dashboards as the landing page for your service when people log in, and so keep that in mind as you browse these design suggestions…

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Nothing sounds more futuristic than artificial intelligence (AI). Our predictions about the future of AI are largely shaped by science fiction. Part two of the blog series.

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Nothing sounds more futuristic than artificial intelligence (AI). Our predictions about the future of AI are largely shaped by science fiction.

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While many companies are investing in online and other digital tools, most have not developed a comprehensive omnichannel strategy to deliver great customer experiences over multiple customer touch points. Legacy marketing mindsets, just like legacy IT mindsets undermine the ability of companies to explore and experiment with all whole new range of digitally enabled customer engagement tools.

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Any new tool or technology has the potential to be put to use for good purposes or, unfortunately, for harmful purposes. Artificial intelligence is no different. As we see the rapid progress occurring in the AI space, lots of attention has been paid to all of the good uses of AI. However, it is inevitable that those with nefarious intent are also studying AI successes with an eye toward how to twist them into tools to pursue their less than honorable goals.

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Augmenting Self-Driving Cars with Human Capabilities

By Thomas H. Davenport, Jan 09, 2018

In a previous piece I wrote about an MIT conference suggesting that fully autonomous vehicles are not just around the corner. In the short run, then, we’ll be riding in increasingly smart vehicles, but we humans will still be expected to be in charge. And even after full autonomy is available, there may well be some human role in the process beyond catching some Zs behind the wheel or watching videos on a mobile screen.

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