Research

Tracking All he 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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Providing Structure to Unstructured Text Data for Rapid Variation Analysis

By Rich Lanza, Jan 20, 2016

Available to ERS Clients only

With text data, mostly in unstructured form and comprising the majority of the business process information we encounter daily, we need to identify new tools to structure the information for analysis. By combining all data for a particular area, such as revenue generation, we can structure the text haystack by first and last letters.

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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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INQUIRY RESPONSE: Choosing the Right Marketing Automation System

By IIA Faculty, Jan 13, 2016

Available to ERS Clients only

The IIA Faculty addressed a recent question on marketing automation system (MAS) implementation and shared best practices and key considerations when selecting a MAS.

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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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