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Strategy & Thought Leadership

Prioritizing Analytics Efforts: A Framework

Analytics resources are scarce and the demands on those resources are ever increasing, so it’s critical to have a clear, transparent, and intentional method to source and execute the analytics projects that will secure business value, and, as a result, meet or exceed the expectations…

Creating A Data Strategy

A Comprehensive Data Strategy is Not Optional The growth in the demand for better decision-making with data means that a comprehensive data strategy is no longer a nice to have. You need a data strategy. It needs to address questions about how to improve the…

Analytics Application Lifecycle Framework

An analytical application combines data and computationally-intensive logic to produce a mechanism for predicting future states, or prescribing actions in the present, that are demonstrably valuable to a business beneficiary. An analytical application lifecycle model is a framework for analytics organizations to engage relevant internal…

Six Organizing Models for Analytics Teams

Companies that think strategically about analytics achieve the biggest impact from analytics. To realize the full potential that analytics offers, don’t overlook the importance of the way you organize your analytics team. Here are three key factors to consider: Analytics has the power to reshape…

Analytics 4.0

Building on its predecessor, Analytics 4.0 marks a point when organizational culture allows for the embedding of finished-product advanced analytics into decision flows and operational business processes. Centered upon the most prized commodity of our time, data, IIA envisions Analytics 4.0 - automated, embedded analytics…

2021 Analytics Predictions & Priorities

We are pleased that our annual Predictions and Priority research brief and the associated webinar have become among IIA’s most popular pieces of content of the year. This year, we’re once again augmenting each of our predictions with a specific priority for leaders to focus…

Ideal Analytics Organization

By Doug Hague Excerpt: ORGANIZATIONAL STRUCTURE To set the stage, the analytics organizational structure being presented below pertains to an analytics organization between 60 and 120 people; this is the size that seems to be a sweet spot for an effective and efficient team (large…

Just How Important Is AI to Your Company?

By Thomas H. Davenport Excerpt: It’s still early days for artificial intelligence (AI) in the enterprise, and if you have some responsibility for analytics and/or AI within your company, you may be wondering just how hard you should push for the technology. Dip a toe…

2020 Predictions & Priorities

Each year, the International Institute for Analytics ends the year with a look at the latest analytics trends and the most pressing analytics challenges currently facing organizations. Our predictions are based upon our day-to-day work supporting and advising analytics leaders and organizations. We take advantage…