Research

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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Inquiry Response: Considering User Experience in a Terminal Server Environment

By IIA Faculty, Oct 09, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

We’ve invested a lot of time and money into our on-premises Microsoft products, with a core of Excel and the PowerPivot add-on for data analysis and modeling in a Windows Terminal Server environment. We’re trying to create a better user experience, especially when it comes to latency for our remote users. We’ve started to use SQL Server Analysis Services (SSAS) to that end. When should we look beyond the Microsoft universe to meet our data needs? Also, is there anything we can do to improve latency?

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Inquiry Response: Getting Started with Tableau Server

By IIA Faculty, Oct 02, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

What should we consider as we approach our Tableau Server implementation? How have others initiated the roll out, encourage user adoption, and managed permissions?

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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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For the many years that I have been researching IT, there has always been a clear distinction between certain types of applications. These classic distinctions, however, are breaking down—in large part because of emerging technologies like the Internet of Things (IoT) and artificial intelligence (AI).

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Yes, Artificial Intelligence Is Analytics

By Bill Franks, Sep 14, 2017

There seems to be some confusion as to exactly what artificial intelligence (AI) is, and how the discipline of AI should be categorized. Is AI a form of analytics or is it a totally new discipline that is distinct from analytics? I firmly believe that AI is more closely related to predictive analytics and data science than to any other discipline. One might even argue that AI is the next generation of predictive analytics. Additionally, AI is often utilized in situations where it is necessary to operationalize the analytics process. So, in that sense, AI is also often pushing the envelope of prescriptive, operationalized analytics. It would be a mistake to say that AI is not a form of analytics.

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Inquiry Response: The Bridge Between Internal and External Reporting

By Adam Moore, Sep 11, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

We have an external reporting tool with a certified process and strong governance. Separately, we have management reporting data and analytics data, and for analytics we are standing up a data lake from disparate sources. My challenge is around the external tool and management reporting data. Right now we bridge the management reporting back to the externally reported figures, but I don’t see a need for this tie because the purposes are different. However, senior management has an emotional commitment to the bridge, so I’m wondering if that bridge is really important and whether you are seeing companies diverting from the need to build a bridge.

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Inquiry Response: Recommendations for Rolling out a new technical solution

By IIA Faculty, Sep 05, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

I’m interested to discuss a topic that I can best describe as ETL (extract, transform, load) as a service that can be deployed for the enterprise. I’m looking to see if other companies have successfully attempted this, and whether there are vendor platforms for this or if this is typically a capability that is built internally.

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“The real issue is that every business is now a tech business – whether it wants to be or not – and that means not just new skills and experiences, but a new outlook on opportunity and strategy.” This quote is from a recent Forbes analysis of the different business models companies can deploy and how each one is performing in the new digital world.

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A Revolution in Analytical Technology

By Thomas H. Davenport, Aug 22, 2017

It’s been 10 years since Jeanne Harris and I published our book, Competing on Analytics, and we’ve just finished updating it for early-fall (2017) re-publication. We realized during this process that there have been a lot of changes in the world of analytics.

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