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.
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…
Bolstering the data and analytics skills of employees is critical for enterprises as they progress in their digital transformation efforts. But data literacy is not a one-size-fits-all affair. Successful organizational…
Every organization has an information economy with a supply side that provides data and tooling to analysts and a demand side that consumes data and analyses to make decisions. Advanced…
Overview The research is overwhelming: The vast majority of analytics and AI models intended for internal consumption don’t get deployed. This die-on-the-vine feature (or bug?) of enterprise analytics impacts the…
For decades, all organizations operated within a data and analytics monolith. Delivery of data and analytics (or business intelligence) came from IT with underwhelming results due to complex infrastructures, delays,…
An organization’s competencies in descriptive and diagnostic business intelligence (BI) lay the foundation for excellence in advanced analytics, and a failure to achieve sufficiency in business intelligence can thwart an…
Delivering an effective data-driven presentation to a nontechnical live audience isn’t the same as discussing technical details with peers or delivering a written document. You must be purposeful and diligent…
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