Blog

Our introductory article to our data strategy framework introduces a 10-step plan, emphasizing vision and current state assessment.

The fundamental problem with most analytics initiatives is that they are often undertaken in an under-characterized context. Get to know your firm’s information economy to make progress in AI.

In this article, Kerri Webster, chief analytics officer at Children’s Hospital Colorado, shares the leadership philosophy and practices that made the analytics organization independently benchmarked as best-in-class.

Who owns AI in your organization? Who do you think should own AI? Here’s IIA’s take on AI ownership and the case for the CDAO to own AI.

The goal of this study is to characterize the capabilities required for BI success and to better understand the foundational relationship between business intelligence maturity and analytics maturity.

In the second installment of the BI maturity blog series, IIA CEO Jack Phillips introduces the Business Intelligence Maturity Framework as a strategic response to challenges faced by organizations stuck in stage 2 of the DELTA Plus model.

Business intelligence maturity matters. It prepares the organization for the substantially more complex world of advanced analytics and AI. This post explores the cost of BI insufficiency.

Any enterprise looking to stay competitive must consider leveraging knowledge graphs and LLMs to unlock the value hidden within their data. This article unpacks the latest research and business implications.

Continue the data innovation adventure with Ryan Sousa's series, "Accelerating Your Data Innovation Journey in Healthcare." Explore Sousa's recommended self-service analytics tools and some high-impact use cases in the industry.