I saw the same thing at Major Southern California Hospital. The CIO was a nursing unit manager before going into IT. And the Insurance CIO referred to in this post came out the business side doing 6 sigma--insurance is all about numbers and since he could equate IT to business numbers, he was the perfect choice.
Big Pharma CIOs are more likely to have a background in the business of pharma where drug discovery depends on sifting through massive amounts of data. We are not talking Big Data. Our own ECF council member Joel H. Dobbs (former CIO of Eisai) is a good example of that. He holds a Ph.D in pharmacy.
Pharma has been about super Big Data for more than two decades. R&D spending is much higher than other industries as a percentage of revenues.
It’s no secret that big data offers big value. But enterprises know that to exploit it, they must capture a tremendous volume of data, in myriad forms, and contain it in a database capable of running complex and comprehensive analyses.
Today, costs of scaling traditional systems have grown prohibitive. So the pressure is on to find a new solution. Enter: Hadoop.
Technology has profoundly transformed the world in recent years. In the last decade alone, mobility, cloud, social media and big data have changed the landscape of IT dramatically. One group affected perhaps the most by the ever-changing landscape is the CIO.
There’s a lot of noise out there about DevOps right now—and with good reason. With its goals of removing IT bottlenecks and putting the business back in charge of innovation speed, DevOps focuses on putting new ideas and tools into action faster and more efficiently. The idea of extending “agility” from conception to delivery improves IT’s ability to respond to business needs.
Think about how its principles can yield meaningful results for your business.
The business intelligence insights your organization has in all the data it stores can lead to game-changing opportunities--if your analytics system has the power to uncover them. Traditional data analytics are often maxed out by big data, unable to return results in a timely fashion, resulting in missed business opportunities. Business and marketing leaders can’t execute on new ideas to generate more revenue because IT can’t support their requests to add new data sources to existing queries.