Faculty Blog & Research

Data integrity is a real problem in the operating room

By Robert Handfield, Aug 23, 2016

A recent visit to a mid-sized hospital in the Northeast United States provided a number of important insights into how great a problem material handling data integrity is in the daily life of those people who work in operating rooms across the country. The nurses, buyers, surgical techs, operating room specialists, and physicians who work on the front lines of hospitals, are having to deal with massive forces of friction that are reducing their ability to provide top tier patient care.

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Improve Customer Experience with Actionable Artificial Intelligence

By Analise Polsky, Jonathan Moran, Robert Morison, Aug 18, 2016

Available to Research & Advisory Network Clients Only

Artificial intelligence and related forms of advanced analytics hold enormous potential for marketers to expand and deepen customer intelligence, improve business processes, and deliver engaging customer experiences. But many marketing organizations are just getting their feet wet in leveraging these technologies. To learn about the opportunities and challenges, IIA spoke with Analise Polsky, Business Solutions Manager, SAS Best Practices and Jonathan Moran, Principal Product Marketing Manager, SAS Customer Intelligence Solutions.

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Opportunities for Insurers: Operationalizing Analytics

By Jim Hulett, Robert Morison, Aug 15, 2016

Available to Research & Advisory Network Clients Only

As insurers expand the applications of analytics across business functions – underwriting to claims to marketing – they have to master the basics – quality data, business and analytical skills, focused strategy. To explore what it takes to operationalize analytics in the insurance industry, IIA spoke with Jim Hulett, Insurance Solutions Consultant in the Global Security Intelligence Practice at SAS.

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Embrace Analytic Athleticism

By Bill Franks, Aug 11, 2016

I see a strong parallel between athleticism and analytic capability. I also see a strong parallel between learning to speak multiple languages and learning to work within differing analytic environments. I’ll explain what I mean by both of these statements in this blog in the hope that it will help make the path forward seem clearer and less intimidating.

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At IIA, we spend most of our time helping enterprises build, sustain and measure their enterprise analytics capabilities. But, we are always on the lookout for standout players who combine technology and analytics for good in their communities.

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Cyber Security: Driven by Data and Analytics (Part 3)

By Mark Dobeck, Aug 08, 2016

Available to Research & Advisory Network Clients and Professional Members

The headline grabbing data breaches bring cyber security and data vulnerability problems to the forefront of government/public and corporate policy. Most of the high profile cyber attacks involve the theft of individual identity or personal data. The cyber attacks adversely impacted the target organization as well as the persons whose data was compromised. The most common driver behind the attacks is greed and the opportunity to monetize stolen data assets. There is an active wholesale black market where one can find competitive offers to sell stolen identity information in bulk through nefarious websites. Hacking is becoming personal.

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Customer Profitability Analytics and Management

By Gary Cokins, Aug 04, 2016

Available to Research & Advisory Network Clients Only

The only value a company will ever create for its shareholders and owners is the value that comes from its customers – current ones and new ones acquired in the future. To remain competitive, companies must determine how to keep customers longer, grow them into bigger customers, make them more profitable to the company, serve them more efficiently, and acquire more profitable customers similar to existing customers who are already very profitable to the company.

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Analytics in the Cloud

By Marc Clark, Daniel Magestro, Jul 28, 2016

Available to Research & Advisory Network Clients Only

As companies consider incorporating enterprise-level cloud services offered by Amazon, Microsoft, Teradata, and others, many challenges arise related to data security, integration into existing data architectures, and analytics activities themselves. Marc Clark, Teradata’s Director of Cloud Strategy and Deployment, and Dan Magestro, IIA Research Director, discuss these and other considerations for evaluating and adopting a cloud strategy for your enterprise, and what it means for analytics.

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For most companies, their current pre-hire talent assessments are wasted data. Results are delivered in an individual report that cannot be analyzed or aggregated. For most “legacy” talent assessments, it’s difficult or impossible to determine what positive (or negative) business effect the assessments are having. It often comes down to the question of “how much the HR person believes the results.” This is a bad measure of success. But it doesn’t have to be that way.

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Disney’s Data-Driven Decision-Making Culture: The Disney Data and Analytics Conference

By Keri Pearlson, Jul 25, 2016

Available to Research & Advisory Network Clients and Professional Members

Building a data-driven decision making culture is not easy. When managers are used to making decisions based on intuition and experience, finding ways to motivate data-driven decision making processes requires ingenuity and creative thinking.

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