Blog Posts: Organization

In Part 15 of our series on data innovation in healthcare, the CRIO at Cincinnati Children’s explores the impact of biomedical research informatics on hospitals, researchers, and patients.

Data literacy is not enough. We need data instrumentation. Read this article to rethink your approach to data literacy in an information economy.

In our latest Breakthrough Conversation, Asheeka Hyde breaks the myth of the unicorn data scientist and instead shares her approach to building cognitively diverse and highly collaborative unicorn teams.

The second installment of our analytics operating model series explores IIA’s framework scorecard and an example of this evaluation in action.

This article examines various coordination mechanisms that will enhance organizational effectiveness and design variables to account for, like reporting structure and infrastructure.

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.

Drawing from a decade of experience, Armin Kakas details five lessons and a roadmap for analytics leaders who want to build a sustainable practice that adds real, quantifiable value.