Faculty Blog & Research

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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Choosing an Artificial Intelligence Solution: Start with the Business Challenge

By Kris Hammond, Jul 20, 2016

Available to Research & Advisory Network Clients Only

We’ve been given the gift of an ever-growing set of systems that fall under the umbrella of Artificial Intelligence (AI). In this brief, I want to examine the functional capabilities of these systems; capabilities that include recommendation, learning for predictive analytics, and business focused advisory systems. With this wealth of technology, it might be easy to fall into a trap where our excitement drives our decisions, and we spend our time looking for nails for our shiny new hammers.

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Beyond Showcasing: The Makings of Strong Visual Designs

By Elliot Bendoly, Jul 15, 2016

Available to Research & Advisory Network Clients Only

Contextual fit and cognitive bias formed the focus of the last two entries in this IIA whitepaper series, “Traps and Hazards in Data Visualization Tool Design and Selection” and “Leveraging Biases in Visual Design.” In the second of these entries, the use of the Standard Convention (Bendoly 2016) was described in brief. This system of classification for graphical renderings is described not merely as an academic exercise. Instead it is a critical part of a broader effort to pin down the nature of interface design options and the biases individuals hold that either facilitate or stymie the interpretation of certain graphical renderings. In short, we can’t effectively tackle the visualization design questions of “What?” or “How?” until we grapple with “Why?”

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Is your organization doing all it can to modernize your data collection and analytics processes? Barely a decade ago, networks like AMC had virtually no information on consumers. Today, they are able to capture information at a level not possible until very recently.

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Text Analytics: Unlocking the Value of Unstructured Data

By Simran Bagga, Robert Morison, Jul 08, 2016

Available to Research & Advisory Network Clients Only

Most organizations – businesses, government agencies, non-profits – are just scratching the surface of what they can learn and accomplish through the analysis of unstructured text. Opportunities abound, applications are multiplying, and the landscape is coming into sharper focus. IIA spoke with Simran Bagga, Senior Product Manager for Text Analytics at SAS to get her views on how to unlock the value of unstructured data.

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Ranking Analytics Maturity by Industry

By David Alles, John Burshek, Jun 30, 2016

Available to Research & Advisory Network Clients Only

The era of impact with analytics has arrived, and the business world is taking notice. Google, Facebook, Amazon and Netflix have all built hugely successful businesses around algorithms feeding on Big Data. The emergence of these “digital native” companies has led to dramatic upheaval in brick-and-mortar industries that once seemed invincible. The lesson here: No company today is safe from the threats posed by the analytics prowess of their direct and indirect competitors.

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Analytics Capabilities: Bridging the Gap Between Importance and Effectiveness

Jun 28, 2016

Available to Research & Advisory Network Clients Only

IIA is exploring how several BI- and advanced analytics capabilities prove to be harder to implement than others.

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Competing for Predictive Analytics Talent: How to Win the War

By Linda Burtch, Jun 27, 2016

Available to Research & Advisory Network Clients Only

Each year, the adoption and use of predictive analytics continues to grow, with investments being made by organizations in diverse areas of both business and government. This focus on attaining a data-driven competitive advantage means that companies of all sizes, whether they are legacy corporations or emerging startups, must invest in their quantitative departments.

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