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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Last July, I suggested that well-established companies could no longer sustain competitive advantage through using their size and market reach as barriers to entry. The unprecedented assault of new waves of digital disruption have enabled companies of any size to penetrate some portion of well-established companies’ value chains. Taken together these disruptions are making what was scarce and expensive now ubiquitous and cheap as the chart below illustrates. Simply put, companies must now find totally new ways to compete or risk a major wipeout.

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Inquiry Response: Migrating to New Data Platforms and Data Sources

By Mark Molau, Jun 07, 2017

Available to Research & Advisory Network Clients Only


I’m interested to discuss methods/options for scaling analytics across our highly matrixed organization. We have done a lot of work building out our analytics strategy, but now need to get more tactical. How can we make this transition while maintaining the current systems, building future systems and constructing a bridge between the two?

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On the Road: Data Down Under

By Jack Phillips, May 25, 2017

As the leader of a world-class service organization, I’m on the road a lot meeting with research clients and prospective customers alike. Each week I try to meet or speak with at least one team at IIA’s ever-growing group of high-performing research clients. I thought it was time to start sharing some field notes of what I’m seeing and hearing. Last week I finished a trip to New Zealand and Australia, visiting with 10 companies from four distinct sectors in three major cities.

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Corruption is essentially the abuse of entrusted power for private gain; it uses a company as a tool for personal gain which is contrary to the official or fiduciary duty of the organization. Companies serious about reducing fraud within their walls need to recognize that regardless of their size and type, corruption is one of the most pervasive and impactful fraud types. It can occur in any department/division making purchases or from the other side of the business transaction in the company sales cycle.

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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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Balancing Analytics Agility and Stability

By Bill Franks, May 11, 2017

There have been many science fiction stories (as well as video games!) that revolve around the tradeoffs between powerful, strong, hard to harm combatants and those that are small, nimble, but easy to harm. Both have their merits and both can be useful in different situations. However, the same profile doesn’t work best in every situation.

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Understanding Power in the Digital Economy

By Geoffrey Moore, May 09, 2017

We are all stakeholders in the economic systems within which we live and work, and the better we can understand their dynamics, the more likely we are to navigate them successfully. For the most developed economies of today, this means understanding the transition from an industrial to a digital economy, and specifically, how economic power is migrating from familiar to unfamiliar sites.

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Move Your Analytics Operation from Artisanal to Autonomous

By Thomas H. Davenport, May 02, 2017

Many organizations today are wondering how to get into machine learning, and what it means for their existing analytics operation. There are many different types of machine learning, and a variety of definitions of the term. I view machine learning as any data-driven approach to explanations, classifications, and predictions that uses automation to construct a model. The computer constructing the model “learns” during the construction process what model best fits the data. Some machine learning models continue to improve their results over time, but most don’t. Machine learning, in other words, is a form of automating your analytics. And it has the potential to make human analysts wildly more productive.

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Detecting Corruption with Analytics: A Roadmap

By Rich Lanza, May 01, 2017

Available to Research & Advisory Network Clients and Professional Members

This brief is intended for both internal auditors and information security practitioners who are eager to use quantitative data and analytics as a reliable tool to expose corrupt practices, and analytics professionals who are seeking a primer on the key application areas for analytics in the area of corruption.

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