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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 rounds out IIA’s framework on demand segmentation and gives you a scoring method for mapping change.
From demand patterns to advocacy, learn what critical dimensions you need to consider when segmenting demand and orient your team toward demand-driven supply, an ideal state for the enterprise.
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.
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.