Newsletter

AI needs a different kind of data management to succeed—letting go of neatly structuring the world and doubling down on metadata.

For decades, corporate data management meant discipline: defined fields, taxonomies, and carefully crafted data models built to impose order. Information was captured, cleansed, and contained under the assumption that … Read full article

Good decisions start with data. They don't end there.

In a world of constant optimization, it's natural to trust the numbers. Data makes decisions cleaner, faster, and often more accurate. Whether pricing risk, forecasting demand, or deciding who to hire, data provides structure. The signal.

But don't mistake data … Read full article

Data Governance succeeds in practice, not in presentations. Stop PowerPointing. Start smart experiments and pilots. Actually govern something. Rest assured: You'll figure out the rest.

There's a special corner of corporate hell reserved for 400-slide decks on data governance—dense with frameworks, maturity models, and color-coded hierarchies of accountability. These decks … Read full article

Stop blaming the data. Start building organizations where truth can survive contact with power.

When analytics projects crash, it's easy to blame the data. "It's incomplete!" "It's biased!" "It's outdated!" There's often some truth in this, but just as often, it’s also a convenient fiction that protects egos while … Read full article

Being data-driven is often viewed as mastering measurement and optimization—but don't leave discovery and innovation on the table!

When it comes to data, an organization's first impulse is to chase certainty, relying on dashboards, precision KPIs, and refined datasets. This is an important efficiency boost, but it's important to keep … Read full article