Explore insights from IIA and select content from our research library below. Our content is always independent and driven by our clients’ everyday problems, challenges and initiatives.
What are the common hurdles encountered when putting analytics to work in a business, both in developing analytical models and applications and in building enterprise analytical capability? This question is…
As organizations faced yet another year of whiplash – from post-pandemic planning to an unpredictable global economy – data and analytics leaders and their teams must consider what lies ahead…
Building a sustainable data strategy requires cross-organizational alignment that is difficult to achieve. In this session, Kathy Koontz, former Director of IIA’s Analytics Leadership Consortium, will explore people and process…
With the rapid advancement of digital technologies, it is impossible to design perfect rules, systems, or processes to manage AI ethics. They would be outdated the moment they were deployed.…
The benefits of AI for enterprise optimization and innovation are widely accepted and yet a paradox exists between AI’s potential and adoption: Survey data shows that up to 90% of…
When faced with the task of organization-wide upskilling, simply knowing where and how to get started can feel like a huge hurdle to overcome. With data literacy in particular, there…
Analytics and AI are booming in organizations, but many companies are not yet realizing strategic value from their projects and investments. One key reason for this lack of strategic value…
It’s one thing to promote an inclusive culture. But how do you actually live it? The tech field, in particular, has rightly been challenged to create more equilibrium between men…
If you are trying to shift the balance of your work beyond descriptive analytics to more advanced predictive, prescriptive projects, you likely need to explicitly map out your analytics capabilities…
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