Research

Strata Data Conference 2017

By David Alles, Nov 16, 2017

Available to Research & Advisory Network Clients Only

Nothing reflects today’s rapid pace of change like the mainstreaming of Artificial Intelligence (AI). IIA launched its expanded coverage of technical conferences with last year’s Strata + Hadoop World 2016 in New York City. The central theme of this Strata event was the 10-year anniversary of Hadoop and Big Data’s coming of age. In the span of twelve short months, AI has gone from a minor conference subplot to the dominant theme and is now the leading keynote and breakout session topic.

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Putting Unexpected Results to Work at Sanford Health

By Robert Morison, Nov 08, 2017

Available to Research & Advisory Network Clients and Professional Members

An initiative in predictive analytics at Sanford Health yielded unexpected results and valuable lessons learned. A perennial challenge for health care providers is recognizing and anticipating which patients are incurring the greatest effort and expense. Some studies have suggested that as much as 80 percent of total health care spent is on only 20 percent of patients. With the migration to population health, where providers aim to improve quality while decreasing costs, high-utilization patients have become a focus for health systems.

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2017 Analytics Symposium - Chicago Summary and Recordings

By Jack Phillips, Oct 31, 2017

Available to Research & Advisory Network Clients Only

Earlier this month, IIA held its 8th Analytics Symposium and awarded the 2017 ANNY Excellence in Analytics Award to Cisco Systems in a packed house at the Gleacher Center in Chicago. Read the key themes of the event and watch the session recordings on demand.

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How Analytics is Transforming Financial Services

By David Alles, Oct 25, 2017

Available to Research & Advisory Network Clients Only

IIA asked survey respondents in four segments (wealth management, US banks, Canadian banks, and credit unions) questions about their use of analytics in six customer engagement areas (customer experience, customer facing employees, web, mobile, social, and ROI). Results highlight why traditional financial services are vulnerable to disruption. Digital native companies universally excel at using analytics in these areas. However, even across leading financial services companies we see lagging adoption – especially in web, mobile, and social analytics. This is indicative of the analytics maturity gap between digital native companies and traditional companies and illustrates why traditional financial services companies have to accelerate analytics maturity to be more competitive. Based on the study findings, IIA’s faculty of top analytics practitioners and analysts then isolated key takeaways and developed recommendations for traditional companies in the financial industry to mature their analytics in effective, sustainable, and measurable ways

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A New Approach to Technology Tool Selection at Steelcase

By Robert Morison, Oct 16, 2017

Available to Research & Advisory Network Clients and Professional Members

As part of an effort to increase analytics aptitude and usage across the enterprise, Steelcase is implementing an enterprise data visualization tool. Inspired by over 100 years of insight, Steelcase leverages the power of place to offer a comprehensive portfolio of workplace, healthcare, and education products, furnishings and services to serve the world’s leading organizations. Founded in 1912, Steelcase is the global leader in enhancing how people work, heal, and learn.

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Predictive Modeling at Cleveland Clinic

By Robert Morison, Sep 28, 2017

Available to Research & Advisory Network Clients Only

Headquartered in Cleveland, Ohio, Cleveland Clinic is a nonprofit, multi-specialty academic medical center that integrates clinical and hospital care with research and education. With more than 4,400 beds across the main campus and 10 regional hospitals, plus 18 full-service family health centers, Cleveland Clinic is one of the largest and most respected hospitals in the country.For the last five years, Cleveland Clinic has been deploying progressively more sophisticated and predictive analytics to address one of the organization’s core challenges – optimizing the utilization of operating rooms (OR). The ORs represent significant physical assets and a major source of operational cost. Their scheduling also includes surgeons and other physicians, nurses, anesthesia, and other support teams. That makes scheduling ORs very complex, especially at the main campus where 81 ORs form one of the largest surgery sites in the world. Appropriate utilization of ORs maximizes patient access to surgery and minimizes the direct and opportunity costs of downtime. When the organization is not able to forecast volume accurately and schedule appropriately, ORs get backed up or out of sync, and problems cascade down the line into the ICUs and hospital floors, with repercussions for hospital occupancy and patient throughput.

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Inquiry Response: Tips for Prioritizing Strategic Data Analytics Projects

By IIA Faculty, Sep 18, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

Our analytics team is doing more analysis in the predictive space. What is the value of this work and how do we know we’re picking projects that will have an impact on the business?

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Sarmila Basu’s team of data scientists is using machine learning and modeling to save Microsoft millions of dollars on heating, cooling, and other facilities maintenance costs.

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Optimization of Inventory Allocation

By Dr. Chris Holloman, Leigh Helsel, Tayler Blake, Aug 23, 2017

Available to Research & Advisory Network Clients Only

In 2016, U.S. e-commerce sales totaled an estimated $394.9 billion, accounting for 8.1 percent of total annual sales. This total was a 15 percent increase from 2015. Advances in technology and adoption of the internet have forced the retail industry to make dramatic shifts toward e-commerce. While this change presents a tremendous opportunity for business growth, the cost associated with inefficiencies in supply chains makes optimally allocating inventory to fulfillment centers integral to retailers’ success. In this research brief, we describe a method to determine the best allocation of inventory to fulfillment centers after a total buy has been determined.

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O’Reilly AI Conference NYC 2017: Developments in Artificial Intelligence

By Bill Franks, David Alles, Aug 16, 2017

Available to Research & Advisory Network Clients Only

As we reported in Strata Hadoop World 2017 – Big Data and Analytics Developments from the Heart of Silicon Valley, O’Reilly’s Strata Conference already has a heavy focus on machine learning and AI. What makes O’Reilly AI unique, versus Strata, is its exclusive focus on AI and the inclusion of more cutting-edge AI research topics that have huge potential, but are further from commercialization. The objective for this report is to summarize the common themes and key trends emphasized at O’Reilly AI into an easy-to-read guide that can serve as both a general reference and a resource for planning AI initiatives. With this in mind, the report is organized into seven sections.

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