Faculty Blog & Research

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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Why Predictions Are Not Enough

By Bill Franks, Jan 12, 2017

Predictions Are The Starting Point…

Almost by definition, advanced analytics or data science initiatives involve applying some type of algorithm to data in order to find patterns. These algorithms are typically then used to generate one or more of the following:

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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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Over the past 30+ years, businesses have spent billions on talent assessments. Many of these are now being used to understand job candidates. Increasingly, businesses are asking how (or if) a predictive talent acquisition strategy can include the use of pre-hire assessments? As costs of failed new hires continue to rise, recruiters and hiring managers are looking for any kind of pre-hire information to increase the probability of making a great hire.

For All of the Marketing Hype, all Predictive Analytics Projects Have 3 Very Simple Steps:

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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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Analytics Journal: Being Smart About Agile

By Daniel Magestro, Jan 05, 2017

In the last few years I’ve observed an increase in interest and attempts to implement an “agile” methodology in business analytics projects. This interest reflects the rapid growth of agile in IT development, where TechBeacon reports that two-thirds of surveyed IT professionals are either leaning towards agile or have fully adopted agile in their companies. Less than 20% of those companies had adopted agile methods just five years ago.

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How the Machine Learning of Today is Driving the Artificial Intelligence of Tomorrow

By Andrew Pease, JOSEFIN ROSÉN, Robert Morison, Dec 22, 2016

Available to Research & Advisory Network Clients Only

Machine learning is hot and for good reason. The components — big data, computing power, analytical methods — are in place, and compelling applications are multiplying. To capitalize on the technology, organizations must build experience. They must also proceed pragmatically with one eye on the business and the other on the ethical implications of the algorithms deployed and the decisions automatically made. To explore the opportunities, challenges, and success factors of machine learning today and tomorrow, IIA spoke with Andrew Pease, Principal Business Solutions Manager, Global Technology Practice at SAS Institute and Josefin Rosén, Principal Advisor Analytics, Nordic Government at SAS Institute.

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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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IT Organizations: The Shoemaker’s Analytical Children

By Thomas H. Davenport, Dec 20, 2016

For the great majority of years in the past decade, Chief Information Officers named “business intelligence and analytics” as their top focus in Gartner Inc. annual surveys of technology priorities. That set of technologies moved to number one in the survey in 2006 and stayed there until 2009. It fell to fifth in 2010 and 2011, but was back on top in 2012 and has stayed there ever since.

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