What's amazing is that some companies don't follow this common sense advice. It boils down to a culture of discipline and the people. What's interesting is that some of top research firms are pushing "faith-base apps" where you take a chance (not religious apps) and bypass the usual vetting. Where is the break between two much study and analysis and just doing it?
My longtime friend and colleague Charlie Cooper (@coopeydoop) suggested the following #CIOchat question a few weeks ago: "How long before CIOs lose their fears about the security in moving their data to the cloud?"
It's a good question, but I anticipated many of the CIOs in our weekly #CIOchat would respond that no one in the enterprise should ever lose their fears about security. The inference of the question as constructed is that adopting the cloud outweighs security concerns.
Last week, I participated in a CIO Chat sponsored by the CIO Magazine’s Enterprise CIO Forum. I thought that questions asked were worthy of broader consideration. So here are the answers that I provided to the questions from John Dodge. John, by the way, should get all the credit for coming up with such good questions.
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.