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Most banks think data governance is a checkbox. A set of policies. Maybe a SharePoint folder. It’s not. And what you don’t see—your blind spots—gets you fined. Find the blind spots, fix them, and build governance that actually governs. Before the OCC makes you do it.

As banks grow—especially those approaching or passing the $50 billion asset threshold—regulators sharpen their focus on vendors. Not just who they are, but what they access. How they handle your data. Whether they meet your security and compliance standards. It’s not just about what your vendors do. It’s about how well you manage them.

Strong cybersecurity won’t save you from governance failures. And great governance doesn’t matter if your data is garbage. These are distinct disciplines. Each critical. Each under a microscope. If you think locking down systems checks the compliance box—you’re wrong. And that misunderstanding is costing banks time, money, and credibility.

The Office of the Comptroller of the Currency (OCC) doesn’t deal in hypotheticals. When your assets cross the $50B line, you’re expected to meet a higher bar in everything from cybersecurity to data governance to business continuity. No room for “we’ll get to it.” No tolerance for “we’re working on it.”

Eight years ago, we started Data Ideology with one belief: organizations deserve better from their data. And along the way? We’ve learned a few things. Here are 8 lessons from 8 years in the data trenches.

If your data is a mess, AI will amplify the chaos. Flawed inputs lead to flawed outputs. AI isn’t a savior—it’s an accelerant. Expect misleading insights, biased decisions, and operational breakdowns if your data isn’t clean, structured, and governed.

Many mid-market organizations think they’re AI-ready. They’re not. They have data, sure. But is it usable? Is it structured, governed, and primed for AI-driven insights? Most often, the answer is no. AI thrives on high-quality, well-governed data. Without it, AI initiatives turn into expensive science experiments that never reach production.

AI is often seen as a transformative force, but many organizations struggle to move from inflated expectations to measurable impact. Discover how Data Ideology helps businesses build a strong data foundation, align AI initiatives with strategic goals, and integrate AI into everyday operations. It’s time to turn the hype into productivity.

Navigating the evolving landscape of artificial intelligence requires more than just technical prowess; it demands a comprehensive framework to oversee its development and deployment. As AI becomes more embedded in our daily lives, its governance takes on critical importance, guiding systems to align with societal norms and organizational values.

Generative AI is reshaping enterprises, offering unprecedented efficiencies and innovative capabilities. But success hinges on your tech stack’s readiness. From assessing data quality to tackling integration hurdles like legacy systems and data silos, preparation is key. Learn how to future-proof your infrastructure and unlock the full potential of generative AI.

Data Ideology is a finalist for the 2024 Tech 50 Awards in the Solutions Provider – Services category. Recognized for helping organizations become data-driven enterprises.