Research

Three Paths for Aligning Analytics to Business Strategy

By Daniel Magestro, Jack Phillips, Feb 27, 2017

Available to Research & Advisory Network Clients Only

As organizations strive to build their analytics capabilities, an unexpected challenge has plagued many efforts: The activities of analytics teams and the investments made to support them aren’t in sync with what executives expect or desire. On the surface, it might have seemed straightforward for “business analytics” to be in sync with the business’s strategic needs. After all, the decision to invest in the first place was driven by the business’s needs, right?

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Revisiting Common Obstacles to Analytics Success

By Robert Morison, Daniel Magestro, Feb 13, 2017

Available to Research & Advisory Network Clients Only

In 2013, IIA published a popular and useful research brief in response to a client’s general question: What are the common hurdles encountered when putting analytics to work in a business, both in developing analytical models and applications and in building enterprise analytical capability? For us, this question is so central to IIA’s mission of helping organizations navigate the many challenges to achieving analytics maturity, that we decided it was time for an update and a re-evaluation of common obstacles faced by analytics leaders and practitioners. This update is informed by major forces and trends in play over the past few years.

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Analytics as a Service: The “Buy vs. Build” Decision

Jan 18, 2017

Available to Research & Advisory Network Clients Only

The idea of competing on analytics – building and sustaining competitive differentiation from innovative use of advanced predictive and prescriptive analytics – has moved, in less than a decade, from a revolutionary notion to a strategic commonplace.

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Amazon Web Services Moves Aggressively into Big Data, BI and Analytics Services

By David Alles, Jan 16, 2017

Available to Research & Advisory Network Clients and Professional Members

There were some significant big data and analytics anniversaries in 2016. The year marked the 10th anniversary of the release of Hadoop, which we recognized in our event summary “Strata + Hadoop World 2016: Developments in Analytics on the 10th Anniversary of Hadoop” (link). 2016 also marked the 10th anniversary of the launch of Amazon Web Services (AWS) and the fifth anniversary of the first AWS re:Invent conference. IIA covered AWS re:Invent 2016 in Las Vegas Nov. 28 to Dec. 2, 2016. No other conference today is more associated with the rapid development and growing adoption of cloud computing. The first re:Invent conference in 2012 had 4,000 attendees. Five years later, this sold-out conference grew to 32,000 attendees spread across four of the largest properties in Las Vegas.

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Driving Corporate Performance in Retail Through Analytics

By Jack Phillips, David Alles, Jan 12, 2017

Available to Research & Advisory Network Clients and Professional Members

As much as any industry today, retail sits at the intersection of both technological and societal change. Web, mobile, cloud, and data technologies are colliding with social media and changing consumer habits to make today’s retailers and consumers unrecognizable to an observer even 10 years ago. Emerging technologies leveraging the Internet of Things (IoT) will most certainly even further alter the retail experience. To keep pace with disruption, the most forward-thinking retailers are putting data and analytics to work to improve all facets of their business.

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In financial services and other highly regulated industries, regulatory compliance depends more than ever on a company’s analytical capabilities. With increasing regulatory requirements and scrutiny, reliable analytics are essential to the timely accuracy in reserves calculations, stress tests, due diligence, and regulatory compliance. The analytics tools and technologies employed, the flexibility of the technology platform, and the comprehensiveness of the overall analytics program all can accelerate, or compromise, the business processes for regulatory compliance.

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The Analytics Project Lifecycle: Charting the Full Path to Realized Value

By Daniel Magestro, Jan 05, 2017

Available to Research & Advisory Network Clients Only

One of the most referenced and quoted taglines in business analytics has a discouraging ring to it: something like 70 percent of all analytics projects fail. Conference keynoters, technology vendors, analytics solution providers, internal analytics evangelists, and (yes) advisory firms all use this catchphrase to highlight various barriers to analytics success — and the need for dedicated effort and investment to navigate the barriers.

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PREDICTIONS AND PRIORITIES FOR 2017

By Thomas H. Davenport, Daniel Magestro, Robert Morison, Dec 20, 2016

Available to Research & Advisory Network Clients Only

Each year, the International Institute for Analytics takes a step back from the day-to-day work of supporting and advising analytics leaders and programs, to focus on the latest trends and the most pressing challenges currently facing organizations. We have a unique advantage in this endeavor, given the breadth of expertise and cross-industry perspectives we receive every day from our clients, partners, and members of the IIA faculty and expert network.

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Using Graph-Based Analytics to Create and Evaluate Retail Floor Sets

By Leigh Helsel, Dr. Chris Holloman, Dr. Lee Hong, Dec 12, 2016

Available to Research & Advisory Network Clients Only

Planning a floor set is a complicated process that has been conventionally modeled from a combination of design direction and visual team decisions and has required marketing support, but it has rarely been driven by customer-centric purchasing data. Applying graph-based analytics allows the detection of historical product affinities and identification of groups of strongly connected products that can help form a highly productive floor set.

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Establishing an Analytics Leadership Council

By Daniel Magestro, Nov 02, 2016

Available to Research & Advisory Network Clients Only

As companies seek to establish or increase their analytics capabilities, one of the key challenges for many organizations is the coordination of analytics activities across various business functions and business units. How to achieve that coordination will vary significantly, depending on factors ranging from the placement of analytics talent to the cultural appetite for analytics in the organization. This brief aims to provide a framework for analytics leaders to consider the factors and alternatives when designing the leadership and oversight structure that will drive some, perhaps most, of the success of analytics in the organization.

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