Research

Inquiry Response: Increasing Competitive Advantage Using AI

By IIA Expert, Aug 13, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We’re primarily known as a data company, and we are currently creating new capabilities for our customers, leveraging AI and machine learning. Our mandate is to use AI for competitive advantage going forward. How do we increase our competitive advantage and drive AI transformation in the company?

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Traditionally, large organizations have both a research organization and a customer analytics organization that are distinct from each other and often in entirely different chains of command. I have seen many organizations where there is tension between these two organizations. Neither seems willing to acknowledge the value of the other and this causes opportunities to be missed. Today, organizations need to challenge the old assumption that these groups should be separated.

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Building the Right Data-Powered Product

By Tanya Cashorali, Aug 02, 2018

Don’t let your data sit there, get after it. This blog covers 3 examples of projects we’ve worked on that should give you some ideas of what it’s like to explore what you own and what’s possible.

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Morgan Stanley Delivering High-Quality Customized Advice at Scale

By Jeff McMillan, Aug 01, 2018

Available to Research & Advisory Network Clients Only

Driving growth at Morgan Stanley is about equipping its 16,000 financial advisors to efficiently deliver personal, customized advice to clients in dynamic markets. Morgan Stanley is making tremendous investments in creating real-time decision engines. This Leading Practice Brief is about how Morgan Stanley uses analytics and algorithms in support of a clear business strategy and empowers the entire organization to use analytics to make better business decisions.

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Attributes of a Data Program: A Practical Guide

By Gregory Nelson, Jul 25, 2018

Available to Research & Advisory Network Clients Only

The ever-growing volume of data challenges us to keep pace in ensuring that we use it to its full advantage. This research brief addresses the tools, technologies, methods and processes useful in designing a data program that is both relevant and actionable.

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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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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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Predictive Analytics World 2018

By Bill Franks, Jun 26, 2018

Available to Research & Advisory Network Clients Only

IIA attended the Predictive Analytics World (PAW) show in Las Vegas, June 6–7, 2018. This year the show had a new format called “Mega PAW” where a number of (previously individual) PAW shows were all housed together under one roof. Some of the keynotes were shared by all attendees, while the breakouts were segmented by topic. All of the sessions IIA attended were in the business track. In this event summary, the key points from each session attended will be provided, as will some commentary on IIA’s thoughts about the topic.

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