Newsletter

"Data quality is essential for AI." It sure is. But don't expect that observation to suddenly get everyone fixing it.

Getting data in order isn't a revolutionary idea that suddenly emerged alongside chatbots and machine learning. It's been the foundation of good decision-making for decades. Yet many companies still treat … Read full article

If data quality is everyone's job, it's no one's priority.

When a business misses its revenue targets or botches a product launch, the root cause is often easy to spot: unclear goals, flawed strategy, or poor execution. But when data goes wrong—when reports are unreliable, customer insights are murky, or … Read full article

If we want value from data, it’s not enough to teach people how to read charts. We also need to teach them how to read themselves.

It’s a simple but counterintuitive fact: Understanding data doesn't automatically lead to better decisions. Think about it: How often have you seen someone presented … Read full article

The journey from data to value is increasingly being hijacked by marketing messages disguised as thought leadership. At a time when organizations face ever more complex data challenges, we’re drowning in content that promises transformation but only wants to deliver a transaction.

Don't get me wrong: When it's high-quality, content … Read full article

Internal data marketplaces promise to tear down silos and unlock value by letting teams share data freely. It’s a compelling vision: seamless collaboration, endless innovation. But the reality often falls short. The problem? Misaligned incentives.

Teams understand their own data very well. But making it usable for others? That’s a … Read full article