Blog

Data virtualization transforms the way organizations share and use their data. It allows data from external sources to be explored and consumed securely, without the need for duplication. In this article, Coralie Lohéac, Lead Product Manager at Opendatasoft, explains how deploying data virtualization within a data marketplace opens up new perspectives for data sharing and value creation within organizations.

The pressure is on Chief Data Officers to deliver greater value to the business, requiring a step change in team productivity and a focus on increasing data consumption. We explore how adopting DataOps methodologies helps achieve these key objectives.

In an increasingly decentralized data and IT world built on modular data architectures, the data mesh and data product concepts are profoundly transforming the way we produce, govern and consume data. A specific technical feature is central to structuring this transformation: the output port. Often referenced in data-oriented architectures, the output port does much more than just output data. In this article, we explain what an output port is, what it is used for, how it fits into modern data architectures, and why it is essential for efficient, well-governed, and interoperable data flows.

Turning data into value requires organizations to have the right team and skills in place - including data custodians and data stewards. We explain the differences in their roles and how they successfully work together.

Your data is there. Stored, catalogued, governed... But is it really being consumed and used? That’s today’s main challenge for data leaders - transforming their data assets so that they deliver tangible value. One approach to understanding and achieving usage is to integrate a measurable conversion funnel into your data marketplace. Inspired by e-commerce best practices, this makes it possible to monitor and optimize every step of the user journey. Applying this proven concept in an innovative way therefore helps measure and drive data consumption.

What is agentic AI and how does it help increase data consumption? Our Q&A blog explains the current state of AI, and how Opendatasoft is innovating to drive forward its impact for customers.

Enriching your data is a key step in creating relevant insights and analysis that drives value. However, when it comes to using massive reference sources such as national company databases, detailed weather data or geographic/administrative boundary datato enrich your data, technical limitations often become a challenge.

How can businesses organize their technology stacks to ensure that they both operate efficiently and meet the goal of increasing data consumption? We look at the importance of combining data mesh and data fabric approaches to drive success.

A well-designed data marketplace is about more than just sharing data assets or data products. It integrates a range of workflows that structure and meet specific needs such as access requests, use case sharing, data collection and data enrichment. This invisible framework transforms a source of data into a collaborative space.

The insurance sector faces rising pressure on margins and a need to meet increasing regulatory requirements. With costs and claim volumes growing, insurers need to rethink their data sharing strategies to increase consumption and value to boost efficiency and innovation.

Data doesn’t just come from business systems and data producers - it can equally be provided by users and data consumers, widening the range of assets on your data marketplace. We explain how collecting data through integrated forms increases engagement, democratizes collection and strengthens your data community.

How do you reduce misunderstandings around data and ensure there’s a common language used to describe data shared across between every department in an organization? By adopting key best practices, a business glossary provides a simple but effective tool to enable self-service data discovery, improved collaboration between teams, and better-informed decision-making. Find out how!