Resources
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.
Mapping Your Analytics Operating Model
Operating Models Are Like Diets Everyone eats and so everyone has a diet. Some people, however, are more intentional in their diet, which can lead to better long-term outcomes and a healthier end result. This is true of analytics operating models as well. Every firm…
Applying Data Governance 2.0: Best Practices to Business Intelligence Governance
Today's Data Governance best practices are built on the lessons of decades of missteps and frustration. The new approach focuses on building lightweight user-centric approaches, enabled with robust and flexible tools. And these lessons and…
Dimensions of a Data-Driven Culture
In non-data-driven businesses, data may play a role in decision-making, but it doesn’t drive decisions. In contrast, data-driven businesses let data guide decisions, outcomes and strategies, even when the data goes against inclination and time-honored assumptions. This eBook provides an overview of IIA's Data-Driven Culture…
Why People Analytics?
As with all analytics, People Analytics starts with understanding the problem you’re trying to solve. How do you match the challenges in your people processes to your wider company ambitions, and how do you use…
Embedded Analytics, The Logical Next Step
As companies seek to use advanced analytics to drive improved decision-making, knowing how and when to embed those analytics in business processes, in order to eliminate human variance and interference, becomes a critical skill. Embedded…
Marketing Attribution In A Post-Cookie World
Google has only delayed the inevitable – the end (of third-party cookies) is still coming. Despite Google announcing that it would stop tracking third-party cookies back in January 2020, many analytics teams, both Marketing Analytics…
Embracing Data Governance
Data governance has often been looked upon as a burdensome but necessary hedge against legal or compliance issues, which we refer to as Data Governance 1.0 (DG1.0). In contrast, Data Governance 2.0 (DG2.0) focuses on a collaborative approach, bringing together business, technology, and data leaders…
Supporting Data Literacy Efforts With Self-Service BI
There are many wrong ways to drive data literacy and only one right way - in context. Data Literacy efforts are only effective when they enable people to actively use and apply their new data…
Racial Equality in Analytics
In this webinar, the third in a series on Racial Equality in Analytics, Tamara DaCosta, HR Director, Reporting and Analytics HQ at Turner Construction Company, Diya Wynn, Sr Practice Manager, Emerging Technologies & Intelligent Platforms…
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