Blog Posts: Plans & Programs

In Part 10 of this blog series, the authors discuss the intertwined role of ethical frameworks and data quality, and provide practical guidance for implementing both in the healthcare industry.

Part 2 in our series on self-service programs gives practical steps on segmenting demand, creating behavioral incentives, and prioritizing projects for innovation.

In the second installment of our series on maturing analytics capability, we take a closer look at the three-year roadmap in terms of strategic goals and activities.

This article introduces IIA’s analytics capability roadmap, a useful tool for companies early in their analytics maturity journey and trying to shift the balance to advanced analytics and AI projects.

In our ongoing series on data innovation in the healthcare, Ryan Sousa explores key considerations around AI and scaling governance, data fidelity, ethics, and literacy.

In the second installment on our series the biggest obstacles data and analytics organizations face today and ways to overcome them, we focus our attention on execution challenges.

In this new blog series, we explore common obstacles to analytics success. The first installment focuses on business challenges and ways to overcome them.

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.

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