In my last blog I detailed the four primary steps within the analytical lifecycle. The first and most time consuming step is data preparation. Many consider the term “Big Data” overhyped, and certainly overused. But there is no doubt that the explosion of new data is turning the insurance business
Bookies have long turned a trade in predicting the fate of our politicians in the general election. According to Ladbrokes, gamblers are set to spend a staggering £100m betting on this year’s result. The outcome of the May 7 vote is anticipated to be the hardest election to predict in
In today’s era of digital marketing, advertisers have access to innovative tools and platforms, which enable them to provide Internet users with more personalized ads. Furthermore, in exchange for such helpful and free service, people do not mind sharing a little bit of personal information as it helps them find
In February of this year, the Washington Business Journal reported the US Government appointed its first Chief Data Scientist, DJ Patil. With this, I think it’s now safe to say that Data Science is officially sanctioned as new mode in organizations. Those that can apply the necessary finesse along with
In the Cold War techno-thriller WarGames, a marine monitoring a nuclear missile silo deep under the Nevada desert sees a red warning light blink on his console. “Just flick it with your finger,” his colleague tells him. He does, and the bulb goes out. Problem solved. But what will their
Do you ever have stress dreams? You know, where you’re taking an exam for which you haven’t studied, or you’re forced to wait tables in a sea of angry restaurant customers? For many of us, the stress nightmare of the modern era involves trying to make sense of a never-ending
Like all scientific breakthroughs, there needs to be some sort of experiment or evidence gathering to prove a hypothesis. Sometimes these breakthroughs are unrelated to the original hypothesis and are made by accident - as long as there’s some form of information to analyse, there’s scope for discovery. With so
Recently I have been out speaking with a number of organizations about the idea of the innovation lab concept , which I discussed in a previous blog post, as the way to unleash the power of big data and make even the largest of companies as agile as a startup. During my
Increasingly, automotive executives want to talk about the "Art of the Possible" in analytics. So we took the opportunity to invite leaders around the industry to an Automotive Analytics Executive Roundtable to share their stories and spark new ideas. A myriad of diverse speakers covered a variety of topics on big data/Hadoop, the
Forget about Big Volume, for my money the real value in Big Data comes from its variety. Why? Because just as there is “Value in the Network” when it comes to your business ecosystem, your data can be "networked" for value in much the same way. Before we dive into the business implications
