Blog

How do organizations tap into the revenue benefits of creating external data products and services at scale? Based on a new report from consultants McKinsey, we explore the foundations required to industrialize the delivery of successful external data products.

As we get closer to the start of the world's biggest sporting event, we look at the role of data in preparing for the Paris 2024 Olympic and Paralympic Games, which start on July 26th 2024.

Embracing data at scale enables banks to digitize their operations and improve efficiency, increase productivity, better manage risk and meet regulatory compliance needs. We explain how data portals are central to effective data sharing across banks and their operations.

The American Privacy Rights Act (APRA) promises to increase the protection, privacy and security of consumer data, across the United States through federal legislation. We look at what it covers, next steps on its implementation and the benefits it brings to organizations as well as consumers.

Over the past months Opendatasoft has been working to transform its data portal solution by enriching it with AI, helping clients to save time, improve the experience for their users, and reduce the risk of errors within processes.

Data portals need to demonstrate their impact and meet user needs by providing the right data assets to generate reuse. We explore how our customers are using the Opendatasoft data lineage feature to analyze portal performance and continually improve the experience they provide.

By helping companies analyze how data is being used, data lineage has a key role in reinforcing successful data governance strategies. Discover all the benefits that data lineage provides to your governance strategy.

When it comes to data visualization, what solutions are available to enterprises and public sector organizations? Do they really allow us to leverage data and make data-driven decisions and build truly data-centric organizations?

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.

By making it easy to analyze data and share the results, business intelligence tools promise improved performance and better quality decision-making, whilst promoting transparency and innovation. However, it is clear that these tools are still under-utilized or not delivering to their full potential. How can we move from creating a business intelligence strategy to putting it into effective practice?

What are the best practices around deploying the data mesh approach in your organization?

Ensuring data flows effectively around your organization means adopting the right structure for your data team. What are the options and when should you pick a centralized, rather than decentralized approach? Our blog explains what you need to know when structuring your team.