Blog

What benefits could AI bring to users of SaaS-based data management software? To find out, Opendatasoft organized an internal hackathon that brought together over 30 developers in order to test ideas for improving our platform using AI. Read all about the results of these two days of intense work in this article.

Enriching your data with external datasets is an essential step to providing complete, high-quality data to users, and helps generate new, value-creating insights. Find out more about the use of external data by our customers to enrich their portals.

Opendatasoft has launched its unique, innovative data lineage feature. Focused on usage, it allows organizations to better understand how their data is used internally and externally, across data ecosystems, while improving the ease and efficiency of data portal management.

This article outlines the data lake and data warehouse storage models, explaining their advantages and disadvantages for your organization.

Since 2011, our Customer Success teams have worked with a range of public sector bodies and large enterprises, supporting more than 2,500 data projects in 25 countries. Our team is committed to quickly empowering our users to help them get the best from our platform, to facilitating collaboration with their stakeholders around data, and supporting them to achieve their strategic and operational goals.

Opendatasoft’s unique all-in-one data experience platform is continually being extended to help our clients turn their data into value. We explain key tech advances we’ve made in 2022 and look ahead to our development objectives for 2023.

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.

The combination of Denodo and Opendatasoft offers organizations a unique solution, combining the flexibility and performance of data virtualization with the power of data sharing to enable all teams, expert or not, to create and distribute digital data experiences to fuel their internal and/or external ecosystems.

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.

Gaining true value from data means making it easy for anyone to create compelling data experiences. No-code solutions are central to this data democratization, allowing everyone to build data visualizations, apps and stories without requiring specialist skills. Our blog explains how the world is accelerating towards a no-code, data-driven future.