
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.


A Practical Guide to Building a Business-Aligned Data Strategy
Building a data strategy that is aligned with the business expectations of stakeholders is key to delivering a strong return on analytics investments. Our experts put together the insights for…

The Federated Analytics Operating Model: Optimal Ways to Organize Analytics
Learn how a federated analytics operating model helps you show value early and often while building your data strategy. Get the starting blueprint to transition to—or reset—federated analytics.

Building a High Data Fluency Information Ecosystem
Join Ryan Sousa, IIA Expert and former CDAO at Seattle Children’s Hospital, to explore the virtuous learning cycle of data fluency for continuous enterprise growth and innovation.

High-Precision Forecasting: Reducing Errors and Gaining Market Insights
Join Ready Signal experts to explore practical strategies for enhancing forecast accuracy. Learn how integrating external data can reduce errors and provide deeper market insights.

IIA Roundtable: Critical Conversations in Responsible Artificial Intelligence Governance
Data and analytics leaders discuss the development and refinement of responsible AI internal frameworks, policies, and processes for ethical, transparent, and accountable AI deployment.

IIA Roundtable: Building Successful Federated Data and Analytics Teams
Data and analytics leaders discuss the effective design, implementation, and continuous improvement of federated D&A structures.

Analytics Engagement Model: Toward Realized Business Value
Align analytics with business goals using the Analytics Engagement Model framework. This eBook offers strategies to foster collaboration, redefine roles, and embed analytics into decision-making for measurable success.

IIA Roundtable: 2025 Forecasting and Budgeting for AI
Data and analytics leaders explore strategic approaches to forecasting and budgeting for AI investments.
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