Our Company

Our business began with a complex question.

How can business leaders and domain experts make the most of data to create value, considering the vast amount of available enterprise data and the need to integrate expertise from different areas into business operations?

In today's data-driven landscape, the sheer volume of data is immense, sourced from various channels and frequently lacking clear interconnections.

This data is often encoded in jargon comprehensible only to professionals within specific domains such as finance, engineering, and beyond.

The true value inherent in this data lies not just in its raw form, but in how knowledgeable people can interpret them and uncover important insights that might otherwise be hidden.

So we built an innovative solution to help with knowledge workers with data discovery and to promote collaboration.

We simplified access, created connections and made it possible to explore existing datasets in easy and interactive ways. Beyond that, we linked the process of data discovery with knowledge sharing, creating shared context and vocabulary among users across the enterprise. We enabled organizations to become literate about their own data.

Now, our focus is to empower data leaders on how to manage their data's worth

For more than 5 years, we've been teaming up with data leaders to bridge the gap between data insights and business impact. We believe that by capturing four key data dimensions—Cost, Utilization, Quality, and Growth—and tracking their automatic evolution, linked to business initiatives, we can prove the business value generated.

We call these Data KPIs and we know that they are essential for cost-benefit evaluations and informed decision-making, ultimately to guide your organization in sound data investments.

Numerous organizations depend on outdated, manual approaches to quantify their data KPIs, which burdens business partners and C-suite executives with a convoluted understanding and endorsement of these metrics and we are on a mission to change that.

Because, after data comes knowledge.