Research

Tracking All The Things You Need To Analyze

By Bill Franks, Feb 11, 2016

As the Internet of Things (IOT) continues to gain momentum, there is a critical component to success that is missing today. While I’ve written about the power of the Analytics of Things (AOT), without addressing some tactical issues regarding the registering, tracking, and retiring of the things we want to analyze, we won’t be able to get where we need to be. We need to be in a position that allows easy and pervasive access and analysis of IOT data.

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When beginning a new predictive analytics project, the client often mentions the importance of a “quick win.” However, implementing a quick win for a predictive analytics project can be difficult. There are at least two challenges, which I’ll describe, when taking a traditional quick win approach to predictive analytics projects.

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Something struck me last week at a gathering of analytics leaders representing a broad range of companies and organizations: the first generation of such leaders has gotten pretty darn good at selling themselves and their mission to transform business decision-making. The conversations were impressively business-like.

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From a sunburned neck to wearing a necktie in a boardroom, all of my experiences have collectively built within me a passion for unearthing patterns and applying expertise to create solutions that propel corporations towards their goals. As Director of Advisory Services with IIA, I have the opportunity to leverage all these experiences within a fantastic organization.

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Improving Visualization of Text Analytics

By Rich Lanza, Jan 28, 2016

Textual analytics always produces something interesting, yet the tools being used can take too long or outright miss the subtleties in the data. Wordles, for example, provide a useful image of the words yet are not effective in identifying deviations over time or to expected language benchmarks. To supplement this need, a new letter approach, as outlined in this blog and a new research brief, is explained more fully.

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What Does It Mean to Be a Chief Analytics Officer?

By Thomas H. Davenport, Jan 25, 2016

One common element of these types of jobs is that they are important to their organizations. Big new “Chief” roles aren’t established from scratch without reason.

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Change Your Business One Metric At A Time

By Bill Franks, Jan 14, 2016

Change is hard for most organizations and individuals. Change that goes against historical cultural norms is even harder. In today’s fast moving business world, organizations have to change at a more rapid pace than ever before. In many cases, taking a measured, steady approach to change can be more successful than pushing for massive, immediate change.

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Value-Added Data Visualization

By Elliot Bendoly, Jan 12, 2016

It can’t be denied that humans are, broadly speaking, intensely visual creatures. Of our senses, vision often dominates our perceptions of the world around us. It is one of the strongest physiological channels that engages us, and it can play a fundamental role in our attentiveness.

It can also be distraction.

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How Credit Risk Relates to Hiring New Employees

By Greta Roberts, Jan 07, 2016

After an employee is hired, it is too late to find out if they are a good risk. Like lenders, businesses need to be able to predict – before extending an offer – candidates with a greater probability of being successful in the role they’re being hired for.

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Analytics 4.0: The Scary Age of Automated Networks

By Thomas H. Davenport, Dec 31, 2015

If the 3.0 version of analytics and automation involves widespread use of them within organizations, 4.0 is about their application across pervasive, automated networks. Every business and organization in this world will be tied together with ubiquitous communications, apps, sensor networks, and APIs.

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