AI Readiness: A Strategic Workforce Planning Framework
Build your analytics team with AI in mind with IIA’s strategic workforce planning framework.
Build your analytics team with AI in mind with IIA’s strategic workforce planning framework.
IIA has consistently observed seven key dimensions for organizing, growing, and maintaining a world-class data-driven culture. This article will help you evaluate those dimensions and accelerate your data-driven transformation.
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.
This article concludes our series on common obstacles to analytics success. Here, we explore talent, data literacy, and networking challenges for data and analytics leaders and their teams.
In the third installment on our series exploring the biggest obstacles data and analytics organizations face today and ways to overcome them, we discuss data and technology challenges.
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.
This article examines various coordination mechanisms that will enhance organizational effectiveness and design variables to account for, like reporting structure and infrastructure.