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To wrap up our series on organizing analytics, we explore the various teams and specialties that you must consider as your analytics organization matures.
This article in our series on analytics organizing models takes a closer look at common paths that organizations follow over time as they mature and grow their analytical capabilities.
This article discusses the fundamental goals and objectives of organizational structure, a new continuum-based approach to analytics organizational models, and guidance determining where your organization falls on the continuum.
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.
IIA's roundup of the best articles from around the web, curated and contextualized by unbiased analytics experts at IIA.
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.