Data product marketplaces: a practical guide for data leaders to generate data value for business users

Why existing solutions fail to scale data consumption

Enabling seamless data consumption is essential to becoming a data centric organization, bringing benefits around greater efficiency, better decision-making, and increased productivity, while enabling innovation, the launch of new monetizable services, and providing a foundation for successful AI adoption.

Yet existing tools, such as data catalogs fail to scale data consumption or unlock value.  Industrializing data consumption across companies and ecosystems is the key responsibility of all data leaders.

This guide has therefore been written to help you choose the optimal approach to deliver on this objective and maximize value from your data through data products and data product marketplaces.

The stark fact is that currently data consumption is not happening at scale. This is due to multiple factors – primarily that the enormous exponential growth in data volumes, velocity, and sources has created complex data stacks with data scattered across the organization, in various types (datasets, dashboards…) and multiple solutions. While it manages this data
tsunami, the modern data stack involves a multitude of tools, bringing a real challenge around interoperability.

At the same time, there is a growing need to make this data available to a range of audiences/personas – non-technical as well as technical. However, currently data is not available in an easily understandable or consumable format. It is not packaged, contextualized or offered as a product that can be easily used by either human business users or AI agents.

Read the full white paper to learn more about data product marketplaces.