A2 Radio: So Far, So Fast in Embracing Data

We've had our share of "tech revolutions" over the almost four decades that I've been following the IT sector. The PC, the Web, the smart phone, and so on. But something sets what I'll call the data revolution apart from the others.

As in the other cases, the adoption of -- and advances in -- analytics technology has been rapid. But the difference this time around is that so many of those adopters are finding success and quickly integrating analytics tech into their day-to-day business operations.

The transition from backroom business intelligence and static reports to adoption of data-driven decision making using real-time analytics has been unique. The PC, the Web, the smart phone all lingered for a while as CIOs and CEOs pondered what they could do with them.

New research by UBM Tech -- the teams at Interop, InformationWeek, and All Analytics -- now provides a view into just how important analytics initiatives are to enterprise organizations. It's a theme we will be addressing on AllAnalytics Radio, Monday, May 1, at 2 pm ET/11 am PT, when we host How Does Your Analytics Initiative Measure Up. My guests will be blogger Lisa Morgan, who wrote the research report, and consultant Jen Underwood of Impact Analytix.

Image: Pixabay
Image: Pixabay

True, less than 10% of 200 survey respondents believe their organizations are "extremely effective" at identifying and using critical data. However, almost two-thirds of those 200 IT, analytics, and business managers believe their companies are "very" or "moderately" effective. That's impressive.

I would argue that it's been just six years since the business world really turned its attention to analytics and started wondering what the heck big data was all about. In 2017, only 12% of our survey respondents say they don't have a formal, organizational approach to analytics.

It took more than 20 years for the cell phone to evolve into the earliest "smart" phones. Plus, if we consider the debut of the IBM PC as the dawn of the business PC era in 1981, we have to remember that for the next 10 years the PC was in essence a fancy typewriter and adding machine.

If your business isn't using analytics today, you really aren't doing business. Your peers are moving at pace through not only adoption of analytics into advanced concepts such as prescriptive analytics, machine learning, analytics bots, and the Internet of Things.

Join me, Jen Underwood, and Lisa Morgan as we discuss some of the key themes uncovered in our UBM State of Data Analytics report on Monday, and bring your questions and comments to share with your peers on our text chat board.

James M. Connolly, Editor of All Analytics

Jim Connolly is a versatile and experienced technology journalist who has reported on IT trends for more than two decades. As editor of All Analytics he writes about the move to big data analytics and data-driven decision making. Over the years he has covered enterprise computing, the PC revolution, client/server, the evolution of the Internet, the rise of web-based business, and IT management. He has covered breaking industry news and has led teams focused on product reviews and technology trends. Throughout his tech journalism career, he has concentrated on serving the information needs of IT decision-makers in large organizations and has worked with those managers to help them learn from their peers and share their experiences in implementing leading-edge technologies through publications including Computerworld. Jim also has helped to launch a technology-focused startup, as one of the founding editors at TechTarget, and has served as editor of an established news organization focused on technology startups and the Boston-area venture capital sector at MassHighTech. A former crime reporter for the Boston Herald, he majored in journalism at Northeastern University.

Big Data Success Essentials: Tech, People, and Process

While there is an increasing focus on the role of people alongside technology in analytics initiatives, let's not forget that process -- business rules -- play an important role in big data success.

Why You Should Remember Equifax

The Equifax breach raises multiple concerns about how companies respond to hacks, but also how they handle third-party consumer data.

Re: An easy embrace
  • 4/30/2017 7:51:11 PM

Standford's Keith Devlin says we should be focusing on statistics in high school, rather than calculus. He says statistics is far more useful to most than calculus will ever be. His TED talk details why he believes statistics should be taught before calculus. His reasoning is sound, in my opinion.

Re: An easy embrace
  • 4/28/2017 10:24:05 AM

Terry its great point with all the off the shelf analytics available for companies like Google analytics has become less of a mystery for people and more of a solution. The challenge is there is still fear when you mention the word and a glazed look still is prevalent for many. Our education system needs to do a better job of getting analytics in the math curriculum at a young age because in the future analytics will become even more important. so much of the education system still requires our past practices when the world was a different place.

An easy embrace
  • 4/26/2017 1:42:52 PM

It's a short hop from spreadsheets to analytics packages. Unlike the other advancements you cite, the move to analytics was/is evolutionary, not revolutionary (though analytics may deliver some revolutionary insights). Non-technical business people can put analytics to work a lot more quickly than they could the PC, the Web or the smartphone. And it feels like they're just really getting started here.

Practiceand Implementation
  • 4/26/2017 12:43:58 PM

Jim it's an important issue, while so many understand the importance of analytics approaching it a structured fashion is still a challenge. I look forward to the discussion.