Blog

Creating a data catalog is the first step in your data strategy, enabling you to identify, structure, and take stock of your data assets. This process can be long, technical, and because of the growth of data, potentially ambitious in scope. However, once data is cataloged the question remains: how do you ensure that it is actually consumed at scale?

As Chief Data Officer (CDO), you lead and shape your organization's data strategy. However, given the increasing complexity of data flows, evolving regulations and the growing pressure to generate value from data, your tech stack needs to be comprehensive and robust.

Today’s enormous growth in data volumes brings a new challenge for businesses – how can they harness and use this data at scale? Organizations are therefore looking for solutions that can transform their data assets by making them available and useful, accelerating and improving performance to benefit the entire business.

Organizations now generate an enormous range of data assets across their operations and departments. Harnessing this data successfully starts with understanding what data is available and where it is located through centralized data catalogs. This blog explains what they are and how they can benefit businesses.

Data discovery is an essential part of turning data into business value at scale. Our in-depth blog explains exactly what data discovery covers and how to implement it, sharing best practice to help organizations successfully industrialize their data sharing programs and meet the needs of internal and external users.

To be truly useful, energy data needs to be comprehensive and easily understandable by all - read how Agence ORE is delivering on this need through its unified energy data portal.

Data catalogs are fundamental tools to inventory data, but are not sufficient to truly democratize it. Discover why the creation of a data marketplace is essential to unlock true value and build a data-driven organization.

The Opendatasoft Data hub is a platform that gathers more than 29,000 open data datasets published by public and private sector organizations. It also hosts more than 600 reference datasets, maintained and updated by our teams.

Searching for data shouldn’t be the equivalent of looking for a needle in a haystack. Our blog explains why you need natural language search within your data platform if you are to increase usage and drive data democratization.

How can you successfully introduce self-service data sharing across your organization? In this blog we share best practice from Opendatasoft’s own self-service project, providing tips and advice based on our experience to date.

Data democratization requires a strong data experience platform that is flexible enough to meet a range of user needs. In this blog we bring together a selection of our customers’ favorite features that help them save time and deliver compelling data experiences.

What are the benefits of self-service data, and how can you adopt a data-driven approach to help your employees and stakeholders become more efficient and improve decision-making?