Research

Disintegrating Castles & Category Kings

By Geoffrey Moore, Oct 03, 2017

The most prevalent impact of digitalization on the structure of markets has been to reduce the barriers to entry for a whole raft of established categories—as it has, for example in media, retail, consumer packaged goods, fast food, and transportation. A flood of small but numerous new entrants, individually nothing more than minor nuisances, become collectively a real presence. This shows up in market-share pie charts where the catch-all category Other is growing faster than the market as a whole. The result in each case is category fragmentation, and the big loser in each case is the currently reigning category king.

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Analytics Maturity Powers Company Performance

By David Alles, Sep 21, 2017

Available to Research & Advisory Network Clients Only

Does the development of enterprise analytics capability really drive superior company performance? IIA’s previous research briefs demonstrate that analytics maturity varies significantly between industries and across the top-performing companies in each industry. This follow on research brief uses IIA’s proprietary analytics maturity data – from leading companies like Amazon, Apple, Netflix and Google – and publically available financial and company data, to illustrate the positive association between analytics maturity and superior company performance.

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Yes, Artificial Intelligence Is Analytics

By Bill Franks, Sep 14, 2017

There seems to be some confusion as to exactly what artificial intelligence (AI) is, and how the discipline of AI should be categorized. Is AI a form of analytics or is it a totally new discipline that is distinct from analytics? I firmly believe that AI is more closely related to predictive analytics and data science than to any other discipline. One might even argue that AI is the next generation of predictive analytics. Additionally, AI is often utilized in situations where it is necessary to operationalize the analytics process. So, in that sense, AI is also often pushing the envelope of prescriptive, operationalized analytics. It would be a mistake to say that AI is not a form of analytics.

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Inquiry Response: Tips for Linking Retail Outlet Sales Back to Digital Marketing Efforts

By Greg Bonsib, Aug 21, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

A large part of our business is in consumer packaged goods sold through mass-channel outlets such as Wal-Mart. We’d like some insights into how we can use analytics to help us understand the marketing-driven revenue on the retail end. Is there a way we can link POS revenue back to our digital marketing efforts?

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Saving Retail

By Geoffrey Moore, Jul 18, 2017

Okay, so you know a sector is in trouble when there is a Web page in Wikipedia entitled “The Retail Apocalypse.” This post is not about how much trouble retail is in. This one is about how it can get out.

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As businesses increasingly adapt to the realities of modern technology, data security has become a critically important component of any successful business plan. Business runs on data – whether it’s financial records, credit card numbers, medical records, email addresses or anything in between – and companies that fail to adequately protect that data leave themselves and their customers exposed to tremendous risk. As high-profile incidents at Target, The Home Depot and other large companies have shown, data breaches can incur millions of dollars in expenses and damage the trust of consumers. This blog is a more detailed look at the true cost of a data breach, as well as best practices for keeping digital data safe and secure.

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The Manufacturer’s Dilemma

By Geoffrey Moore, Jun 20, 2017

There is a lot of serious talk in America these days about improving the state of our manufacturing sector. Smart products, Internet of things, robotics, predictive maintenance—all great stuff. But none of it addresses the most fundamental challenge facing the sector: how to deal with a demand/supply inversion which has made the customer king.

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Enhancing Decision Support Analytics in the Digital Era

By Stephan Kudyba, Thomas Ott, May 17, 2017

Available to Research & Advisory Network Clients and Professional Members

Visualization techniques enable users to overcome the tedious activity of examining detailed data corresponding to functional areas and provides them with an easy to comprehend view of performance attributes, providing timely decision support from digital resources. However, despite the advantage of robust graphics, visualization often suffers from a major limitation. As users consume information from visual platforms, they often take the next step in the decision support process, which entails inquiring as to what the factors or variables are that drive performance metrics. In other words, what is causing KPIs to move? In statistical terms, performance metrics are dependent or target variables and users quickly seek to understand the driver or independent variables that affect dependent variables.

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IIA 2017 Spring Symposium Event Summary

By Jack Phillips, Apr 13, 2017

Available to Research & Advisory Network Clients Only

IIA hosted its first client-only Symposium of 2017 on March 14, 2017 at the VMware campus in Palo Alto, CA. Over 100 of IIA’s research clients gathered for the Symposium featuring five keynotes and two panel discussions. Given the location in the heart of Silicon Valley, the theme of the Spring Symposium was innovation, disruption, and the growing role of technology in shaping how analytics and data management are executed inside enterprises today.

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Video: Innovation, Disruption, and Enterprise Analytics

By IIA Faculty, Apr 13, 2017

Available to Research & Advisory Network Clients Only

2017 Analytics Symposium - Silicon Valley

This presentation addresses how enterprises of all sizes can adopt a “start-up mentality” to transform their organizations and the industry. Featuring Geoffrey Moore, Author, Thought Leader.

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