Research

Last week, IIA attended the O’Reilly Strata Data Conference (@StrataData) in New York City. The conference tagline was “Make Data Work” and it provided a comprehensive overview of continued innovation in the big data and analytics ecosystems. In this blog, VP David Alles covers the top seven highlights from the conference.

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DELTA Plus Model & Five Stages of Analytics Maturity: A Primer

By Thomas H. Davenport, Sep 11, 2018

Available to Research & Advisory Network Clients Only

The purpose of this research brief is to summarize the key elements of DELTA Plus and Five Stages of Analytics Maturity, and discuss how these two frameworks can be used to understand analytical maturity in your organization. Two new components were added to the DELTA model, creating the DELTA Plus model. The DELTA Plus Model Framework encompasses the five foundational elements of a successful analytics program (Data, Enterprise, Leadership, Targets, and Analysts) and introduces two new elements (Technology and Analytical Techniques) required for high performance.

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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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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: 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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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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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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Inquiry Response: Getting Started With Digital Transformation

By IIA Expert, Jun 11, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We’re in the process of accelerating our digital transformation. We’ve just started a digital offering of our products, and we’re having discussions about digital teams and organizational structures around this. We’d like discuss if we’re structuring our initial pushes into digital transformation appropriately. When is the right time to commit to a dedicated digital team?

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Who thought Domino’s Could be a Disruptor?

By Julia Oswald, May 08, 2018

Available to Research & Advisory Network Clients Only

2018 Analytics Symposium – Santa Clara Session Recording

How has Domino’s become such a dominating force in the Quick Serve Industry? Julia Oswald’s presentation shared the key drivers of this success. Domino’s broad strategy is to be a part of the disruption. The company has three key tenants to achieve this strategy:

1) Craft food that they are proud of, 2) Drive growth in the carryout business and 3) Aggressively innovate and invest in digital and in-house analytics. The progression of the Strategy and Insights department has been a crucial element across all three tenants of Domino’s strategy. Julia shared philosophies and some of the details about how the company has and plans to continue to be a disruptor in the category.

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Enterprise AI Primer: Build on Your Strengths

By Thomas H. Davenport, Kris Hammond, Apr 16, 2018

Available to Research & Advisory Network Clients Only

This brief is based on the premise that there’s a general confusion when it comes to AI impact, strategy, investment options, and even terminology. A significant factor is that for many companies, AI can and should be viewed as a natural progression of their existing business analytics capabilities. We believe that positioning AI as a natural evolutionary outgrowth of analytics, thus benefitting from already established analytics capabilities, provides the best and easiest path for most companies to successfully “step into” AI.

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