Research

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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Thanks to data analytics and machine learning, we are now discovering that the exact words teachers use to give students feedback is among several factors that directly influence whether a student succeeds or fails academically. And furthermore, whether she stays in school or drops out.

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Driving Clinical and Operational Performance Through Analytics

By Jack Phillips, David Alles, Aug 02, 2017

Available to Research & Advisory Network Clients Only

As much as any industry today, healthcare sits at the intersection of both technological and societal change. Web, mobile, cloud, and data technologies are being applied to myriad patient-level applications to disrupt traditional patient care methods, and the very way that hospitals operate and compete. Emerging technologies leveraging the Internet of Things (IoT), particularly in the wearables category, will most certainly shift the role of care and wellness from provider to patient. Recent research from the International Institute for Analytics (IIA) has now quantified the significant gap in maturity between all healthcare segments and most other industries. But the research also reveals a discreet set of steps healthcare providers can follow to improve capabilities and move up the analytics maturity curve.

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Five Big Data Analytics Pitfalls to Be Aware of (And Avoid!)

By Bill Franks, Jun 28, 2017

Available to Research & Advisory Network Clients Only

Many people think that in the age of big data, we always have more than enough information to build robust analytics for almost every situation. Unfortunately, this isn’t the case. In fact, there are situations where even massive amounts of data still don’t enable basic predictions to be made with confidence. In many cases, there isn’t much that can be done other than to recognize the facts and stick to basic analytics instead of getting fancy. However, it is critical to recognize the situation before expending a lot of effort in a wasteful attempt to get predictive analytics to work in a situation where success isn’t in the cards. This challenge of big data that can’t be used to predict seems like an impossible paradox at first, but, as you’ll see, it is not.

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Corruption is essentially the abuse of entrusted power for private gain; it uses a company as a tool for personal gain which is contrary to the official or fiduciary duty of the organization. Companies serious about reducing fraud within their walls need to recognize that regardless of their size and type, corruption is one of the most pervasive and impactful fraud types. It can occur in any department/division making purchases or from the other side of the business transaction in the company sales cycle.

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IIA 2017 Spring Symposium Event Summary

By Jack Phillips, Apr 13, 2017

Available to Research & Advisory Network Clients Only

IIA hosted its first client-only Symposium of 2017 on March 14, 2017 at the VMware campus in Palo Alto, CA. Over 100 of IIA’s research clients gathered for the Symposium featuring five keynotes and two panel discussions. Given the location in the heart of Silicon Valley, the theme of the Spring Symposium was innovation, disruption, and the growing role of technology in shaping how analytics and data management are executed inside enterprises today.

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Video: Innovation, Disruption, and Enterprise Analytics

By IIA Faculty, Apr 13, 2017

Available to Research & Advisory Network Clients Only

2017 Analytics Symposium - Silicon Valley

This presentation addresses how enterprises of all sizes can adopt a “start-up mentality” to transform their organizations and the industry. Featuring Geoffrey Moore, Author, Thought Leader.

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