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This is our 9th annual look forward into the upcoming year, and the annual Predictions and Priority research brief and the associated webinar have become among IIA’s most popular content of the year. As in the past few years, we have augmented our predictions by also providing some specific priorities for leaders to focus on as they attempt to address each prediction. Therefore, each priority provides specific guidance as to how to best prepare for, and adapt to, its corresponding prediction.

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DATA AND ANALYTICS TRENDS IMPACTING MARKETING

PART 1: CHANNELS AND PERSONALIZATION

Analytics advances are accelerating at an unprecedented pace, and perhaps nowhere more quickly than in marketing. This paper is the first in a series of focused discussions on the most interesting, cutting-edge, impactful data and analytics advances that can benefit the marketing professional and partner organizations like finance, operations, product design, project management and technology.

 

Analytics Maturity Powers Company Performance

Does the development of enterprise analytics capabilities really drive superior company performance? This report by David Alles illustrates the positive association between analytics maturity and superior company performance.

 

RANKING ANALYTICS MATURITY BY INDUSTRY

The era of impact with analytics has arrived, and the business world is taking notice. This report by David Alles provides an overview of our research into the analytics maturity of 50 industry-leading companies across 12 industry segments, seeking out differences in enterprise analytics capability.

 

Improving Analytics Measurement

One of the continual challenges for analytics leaders is measuring the work of their analytics groups and communicating the results to business leaders. This report by Bob Morison examines how analytics organizations measure intent, performance, results, and health.

 

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

The DELTA Plus Model and Five Stages of Analytics Maturity have become the industry standard frameworks for assessing analytics maturity. 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.

 
 

SIX ORGANIZING MODELS FOR ANALYTICS TEAMS

It takes a lot more than technology and talent to make analytics work. For analytics programs to thrive and make a positive difference within your organization, it is essential to structure your analytics team the right way. See which of the six key models for organizing analytics is right for your organization.

 

BUILDING AN ANALYTICS TEAM FOR YOUR ORGANIZATION

This blog series by IIA Analytics Expert Emilie Harrington discusses topics such as the organizational structure, roles, team or job family design, skills/knowledge/ability (SKAs), and recruiting and retaining analytical talent. Learn how to build an effective analytics team for your organization.

 
 

2018 analytics predictions & Priorities

Each year, the International Institute for Analytics takes time to focus on the latest analytics trends and the most pressing analytics challenges currently facing organizations. We gather the basis for our predictions from our day-to-day work supporting and advising analytics leaders and programs. Our insights arise from the breadth of expertise and cross-industry perspectives we receive every day from our clients, partners, and members of the IIA Expert Network. This is our 8th annual look forward into the upcoming year.

 

2016 BUSINESS INTELLIGENCE AND ANALYTICS CAPABILITIES REPORT

As organizations elevate their analytics capabilities, one often overlooked challenge of analytics maturity is the balance between striving for more advanced capabilities and strengthening core business intelligence competencies. This research report, written by the International Institute for Analytics and sponsored by SAS, explores the relationship between Business Intelligence (BI) and Advanced Analytics (AA) as well as their adoption among large organizations.