Blog

What does progress in a federated analytics model look like? Learn how leading organizations define and track success in federation—beyond structure—to ensure speed, reuse, and insight actually scale.

Learn how framing your data journey with a shared action plan can align your organization and accelerate progress—fast.

Even well-designed federated models can lose momentum. Learn what goes wrong—and how to build the operational scaffolding needed to avoid failure, reversion, or wasted effort.

In our latest IIA Expert Breakthrough Conversation, we sit down with Lindsay Mico, head of data science at Providence, for his insights on building robust, adaptable AI frameworks within organizations.

Not sure where to begin with federation? Start here. Learn how leaders build initial models and navigate the messy, real-world shift to a federated analytics operating system.

Struggling to staff work that enables the business and keeps the lights on? See how leading teams rethink funding models to sustain delivery and accelerate the shift to federated analytics.

What does it really take to make federated analytics work? This article breaks down the design principles and operational commitments leaders often overlook.

Stop the cycle of oscillating between centralized and decentralized analytics operating models—and start designing for how work really happens.

Security shouldn’t stall your analytics. Learn how leaders are rethinking data protection to move faster—without sacrificing trust.