In my previous post, Are you ready for the Analytics Fast Track? Part I, I shared details of the SAS and Intel proof of concept program, and promised to follow up with information about our “For Purchase” program. Many organizations are looking for sandbox environments that allow their data scientists
In an increasingly connected world, the automotive industry is embracing opportunities from the Connected Vehicle and Connected Dealer to reach the Connected Customer. At the recent Automotive Analytics Executive Forum, we heard terrific success stories and far-reaching experiments aimed at facilitating the best customer experiences whether buying a vehicle or getting
Yesterday I opened up the Wall Street Journal and found the usual mix of ads from major technology vendors touting their IoT (Internet of Things) prowess, and claiming they all have the secret sauce to make all of our IoT dreams come true. Where do I sign up?! Meanwhile, back
Some organizations I visit don’t seem to have changed their analytics technology environment much since the early days of IT. I often encounter companies with 70s-era base statistical packages running on mainframes or large servers, data warehouses (originated in the 80s), and lots of reporting applications. These tools usually continue
Gender and race discrimination has been banned in most countries for many years, although gender did have specific exclusions for the insurance industry, where the risk for males and females could be shown to substantially different (e.g. females have a higher life expectancy than males). In the European Union (EU)
A huge proportion of big data is unstructured text (such as client interactions, product reviews, call center logs, emails, blogs and tweets). Organizations starting to invest in advanced analytics often overlook the value text analytics could add to the process. But when data scientists or analysts get to work exploring
You could say we've been working toward the internet of things (IoT) since computers were first invented. Look at how airplanes have changed from flying by wire to now, quite literally, flying by IoT (or connected plane). The connected car is another example of how big data analytics is the
"Tap into all your demand signals. Organize. Visualize. Analyze. Predict. Orchestrate. Optimize." The availability and collection of data are compelling companies to invest in demand signal management solutions to take advantage of the vast amount of information to support their planning processes. However, many have not gotten the return on
Has there ever been an app that’s captured the world’s imagination as quickly as Pokemon Go? The usage statistics are mind-blowing, and whether or not the world has reached “peak Pokemon Go” yet, this will doubtless be a short-lived fad. But this could be the app that brings augmented reality and
Data monetization, at its simplest, is the process of turning data into bottom-line value for a company -- often through improving efficiency and/or customer experience, and building customer loyalty as a result. This may sound simple, but in practice, it’s anything but. Good data, advanced analytics and real-time decision making
