Research

Less than 30% of companies have a process in place to measure the return on investment of their emerging technology projects according to a recent survey of 150 CIOs and CTOs. Too many companies still measure the performance and business value they get from IT based on the old work of IT rather than the new work of IT.

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As I have discussed in prior blogs, the focus of enterprise computing for most of the 20th century was on deploying Systems of Record, first on mainframes, then minicomputers, then client-server systems. These were and continue to be the transaction processing backbones that drive global commerce. In the first fifteen years of this century, however, we have seen a profound shift in spending emphasis away from Systems of Record, which are now in maintenance mode, and toward Systems of Engagement, the focus being on connecting with customers, partners, and employees in digitally effective ways leveraging the ubiquity of smart phones. That movement has been inside the tornado for some time now such that, while there will be a lot of money spent here over the next ten years, I think it is time to look ahead to the next wave.

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A New Chapter In The Analytics Journey

By Bill Franks, Apr 13, 2017

As I write this, I am finishing a major leg of my personal analytics journey. As many readers are likely aware, I will be leaving Teradata this month. I had a terrific 14-year run with Teradata where I made a lot of friends, worked with some amazing clients, and got to witness firsthand how the world’s largest organizations have dealt with the rise of big data and analytics. Teradata treated me well and I like to think that I, in turn, contributed a lot to the company. It wasn’t an easy decision to leave, but I came across a great opportunity and every good run has to end at some point.

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In Jim Collins’ seminal book, Good to Great, he makes a very compelling case that getting the right people in the right seats on the bus is more important than your business growth strategy. While that may seem counterintuitive, in the new digital world I think it makes perfect sense.

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Beyond the Black Box in Analytics and Cognitive

By Thomas H. Davenport, Apr 04, 2017

There is a growing crisis in the world of analytics and cognitive technologies, and as of yet there is no obvious solution. The crisis was created by a spate of good news in the field of cognitive technology algorithms: they’re working! Specifically, a relatively new and complex type of algorithms—deep learning neural networks (DLNN)—have been able to learn from lots of labeled data and accomplish a variety of tasks. They can master difficult games (Go, for example), recognize images, translate speech, and perform many more tasks as well as or better than the best humans.

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I recently attended my first Analytics Symposium, and I was delighted with the experience. Why? Attendees were bright, enthusiastic, and seasoned analytics practitioners. Speakers were world-class thought leaders in their respective domains. And our hosts – IIA and VMware – were gracious, thoughtful, and well-organized. One of my favorite aspects of Symposium was the degree of collegiality attendees universally displayed. It was clear all were there to forge bonds – to unite in common purposes – and work together towards those purposes efficiently and effectively. Conversations quickly converged to mutual rapport and benefit. I left the conference with a host of new connections I look forward to working with more closely in the future. As a strong advocate of collaboration, I couldn’t be more excited at the prospect.

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VMware recently hosted the International Institute for Analytics’ (IIA) semi-annual Analytics Symposium, where practitioners came together to discuss varying slices of the analytics puzzle. At the event, VMware Chief Operating Officer Sanjay Poonen spoke about the importance of metrics at a global software company. While he recognized that data and analytics are based on facts, he also pointed out that we live in a society that is ruled by relationships and opinions.

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A Crowning Moment on Pi Day in Palo Alto

By Jack Phillips, Mar 23, 2017

IIA’s Spring Analytics Symposium in Silicon Valley last week is in the books and marked a significant milestone for our company across a variety of fronts. The innovation-themed agenda revealed how many of IIA’s research clients (e.g., Ford, VMware, Lilly, Cleveland Clinic) are driving high performance when it comes to analytics and data. The program included speakers from Silicon Valley digital native companies who shared their perspectives as businesses that were built on data. The contrast between traditional firms trying to graft new technologies onto legacy systems, and the data scientist-led firms like Pandora and Netflix was stark and illuminating.

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March Madness at Strata + Hadoop World

By David Alles, Mar 21, 2017

The first week of March Madness is complete. 68 teams have been whittled down to 16 and the potential winners of many office pools have already been decided. It is estimated that Americans will play over 70 million brackets and wager over $10.4B on this year’s NCAA tournament. Given the interest, it is a great opportunity to show people the power of analytics in a context they will readily relate to (and potentially profit from).

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Agenda: 2017 Analytics Symposium - Silicon Valley

By Jack Phillips, Mar 17, 2017

Full agenda for the 2017 Analytics Symposium - Silicon Valley

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