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Resources

Explore insights from IIA and select content from our research library below. Our content is always independent and driven by our clients’ everyday problems, challenges and initiatives.

Closing the Analytical Talent Gap: An Executive's Guide to Working with Universities

After spending several years answering almost daily emails and telephone calls from business managers asking for staffing help and aiding fellow academics with their analytics teaching needs, Dr. Jennifer Priestley…

Architecting a Modern Analytics Tech Stack

Buy or build? Cloud or on-prem? Packaged analytics software of custom Python? These are false choices. No business can afford to think of these choices in a binary way. The…

Data Culture & Data Literacy - Transformative Concepts or False Hope?

It seems every company is pursuing Data Culture and Data Literacy programs, but what exactly are they hoping to achieve? These topics get a lot of press, sound very inspirational,…

Disciplined Self Serve BI Enables Advanced Analytics

“Self-service is best characterized as a broader business effort to continue the maturation of your enterprise analytics. Core to that maturation is a focus on identifying more and better business…

Modernizing The Roles In Your Analytics And Data Science Organization

A recurring theme among analytics and data science leaders is the concern of not being able to keep up with all of the rapid change taking place – both individually…

A Framework For Establishing A Self-Service Program

Self-service is best characterized as a broader business effort to continue the maturation of your enterprise analytics by identifying more and better business challenges against which to apply advanced analytics…

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…

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.…

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.…


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