Research

What Business Leaders Can Learn From Intelligence

By Thomas H. Davenport, Dec 16, 2014

There is little doubt that the intelligence sector in the US - including the Central Intelligence Agency or CIA, National Security Agency or NSA, parts of the Federal Bureau of Investigation or FBI, Homeland Security, and many other agencies - and elsewhere is quite accomplished at several aspects of data management and analytics. It’s also clear that businesses can learn from these organizations in several respects. Below are a few lessons from which business leaders could draw.

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Ignore Your Business, Rake In The Profits

By Bill Franks, Dec 11, 2014

Want to uncover interesting ways to drive value from data? Look for ways to provide value to external, third party stakeholders through analysis of the data that your organization initially collects just for itself.

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Predictions for Analytics in 2015

By IIA Faculty, Dec 10, 2014

Available to ERS Clients and Professional Members

Each year, IIA asks its faculty and leadership to offer perspective on what the world of analytics will look like in the coming year. This year we also solicited predictions from our diverse community of analytics practitioners. The following ten predictions were selected by a panel of judges to represent IIA’s outlook for 2015:

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Is Embracing Analytics a Rush to Judgment?

By Gary Cokins, Dec 09, 2014

Allow me to take a contrarian view to the rapid interest in applying analytics. Have we seen this kind of story before? Is there a rush to judgment that analytics is the elusive cure-all magic potion or panacea that management has been seeking to achieve extraordinary high performance?

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2014 Analytics Predictions, Revisited

By Jack Phillips, Dec 04, 2014

Last year, IIA revealed nine predictions for 2014 that ran the gamut of organizational challenges, benefits of technology and staff augmentation, and new applications of analytical methods.

We’ll give a more in-depth review of the 2014 predictions during our 2015 Analytics Predictions Webinar on December 10. But for now, I wanted to offer my own quick take on the 2014 predictions, and see what we got right, and where we missed the mark a little bit.

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The Privacy/Value Tradeoff

By Thomas H. Davenport, Nov 28, 2014

Unless you are willing to become a recluse and go completely off the grid, you are stuck with a high degree of transparency of your personal data. The only real course of action is to be selective in the services and relationships you consume that affect your privacy.

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Health Analytics in a Person Centered World Part III

By Dwight N. McNeill, Nov 26, 2014

Available to ERS Clients only

At birth, we are given the gift of life. This gift amounts to an average of 79 years for a person born in 2012. To some it is priceless; to economists, it is valued at $5,530,000. For most of us, it is the most important asset we will ever have. What we make of the birth gift is largely dependent on the choices we make. But, that it is not the whole story. There are people, organizations, societal structures and luck that weigh in and make a big difference on our life/health outcomes. Stakeholders are different from shareholders. The latter have an equity stake in our life and make investments to optimize our lifetime value. Stakeholders are outside the direct orbit of our lives but can influence it in both positive and negative ways. It is important to achieve “alignment” with stakeholders by designing and implementing win-win solutions.

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Retail Analytics Systems Still Need a Human Touch

By Robert Handfield, Nov 26, 2014

As more data becomes available in the grocery and retail environment, organizations are re-thinking their supply chain processes to drive increased automation, improved performance, and increased inventory turns. They are also re-thinking the design of their supply chains, thinking about how much of their product goes through distribution centers, distributed to stores, or shipped directly from suppliers to store locations.

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In a previous blog post, we discussed the foundation of building an analytics team including the four key elements: Leadership & Governance Structure, Scope of Services Charter, Teams and Roles. This blog installment will center on the design of centralized and decentralized models and will also touch on the interdependencies and how firms manage work across organizational lines.

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As organizations go through the process of establishing its organization structure for an Analytics function, it is imperative to start the design and launch of a new analytics organization with a basic blueprint to ensure that all of the roles, skills, and capabilities are in place from the beginning. It is this blueprint that we will review from top to bottom so that as you serve your organization as a decision-maker or key stakeholder you will be well-equipped as an architect or influencer to make certain that the right structures to fit your company’s needs can be put into place from the beginning.

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