Research & Insights

Three More Reasons to Embrace Automated Machine Learning

By Thomas H. Davenport, Jul 19, 2018

Automated machine learning is good for your company’s analytics function. AutoML has the potential to transform not only machine learning, but the practice of analytics in general. This blog discusses the benefits of AutoML in three different categories.

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Valuing Analytics: Return on Investment (ROI) and Returned Business Value (RBV)

By Doug Mirsky, Jul 17, 2018

Available to Research & Advisory Network Clients Only

What is the value of analytics? This research brief discusses methods of assigning value to advanced analytics efforts and communicating it to stakeholders.

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Inquiry Response: Re-Thinking a Rotational Talent Program

By IIA Expert, Jul 16, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We seem to be missing the mark with our data science and analytics rotational program; we aren’t attracting as many recruits as we would like and would like to redesign our program. Right now our program lasts for three years with three 12-month rotations.

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Profit and Loss (P&L) statements permeate businesses due to the need to track how a business is performing at overall, business unit, and even project-by-project levels. This blog raises a question: why shouldn’t an analytics plan be expected as a part of the business plan for any major initiative just like a P&L is?

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Inquiry Response: Preparing Sensitive Data Sets for Wider Use

By IIA Expert, Jul 09, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

What are the best practices for anonymizing workforce data such that we can share the data with analysts outside the HR organization who can help our analysts solve business problems?

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Inquiry Response: Distinguishing Hype from Valuable AI Technology

By IIA Expert, Jul 05, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

AI vendors reach out to us all the time. Our focus is on Natural Language Processing (NLP). How do we distinguish between AI hype and valuable AI technology?

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Data-savvy hybrid professionals are needed because AI-based task automation can lead to the transformation of jobs in many domains, including the law. These transformed jobs encompass a new mix of tasks, requiring regular interaction with intelligent machines and the underlying data. Who will fill these transformed jobs and new jobs in the law?

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Inquiry Response: Tackling the Data Trust Issue

By IIA Expert, Jul 03, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

One of our analytics challenges centers around data lineage and trust. People question where the source data came from and whether it’s trustworthy, which results in time-consuming traceability exercises to translate our results into terms that the end user can relate to. Is there a technological solution that can trace data lineage and reconcile data sources?

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Evaluating the Risk of Analytics Partners for Your Enterprise

By Bill Franks, Jun 28, 2018

Available to Research & Advisory Network Clients Only

How do you choose the right vendor partners to move your analytics program forward? Large organizations today need to partner with vendors to successfully build, deploy, and maintain enterprise-level analytics programs. In today’s world, however, there are so many potential vendor partners that it is hard to know where to begin. An often under-addressed aspect of evaluating which partners to invest in is the need to look at the inherent risk a potential partner brings to the table along with its compelling offerings. This research brief provides a framework for evaluating the risks of potential analytics partners. By developing a consistent and complete approach to assessing risk, an organization will help itself make better investments and, therefore, improve its analytics performance.

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Organizing Analytics: Your Questions Answered

By Robert Morison, Jun 27, 2018

During the Organizing Analytics Teams webinar, Bob Morison and Bill Franks discussed organizational models and techniques for analytics groups. Interest was high and more questions came in than we had time to cover completely. This blog covers nine of the unanswered ones.

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