World-class supply cannot deliver business value without the balance and collaboration of demand. This article explores optimal collaboration between data producers and consumers to build trust and analytic adoption.
Part 2 of our series on building a data strategy covers steps 6-10 in our data strategy framework, emphasizing architecture, use cases, and roadmaps.
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.
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.
