Blog

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!

To unlock the benefits of data sharing at scale every type of user, from technical experts to employees and citizens, needs to be confident and engaged when it comes to accessing and consuming information. How do personalization features on a data marketplace underpin this engagement?

Discover how a data marketplace balances the sharing and use of data at scale across the business with secure governance and management of data access.

Organizations have never relied so much on data, within their operations, strategies and decision-making. However, our latest research finds gaps between company objectives for data sharing and the reality on the ground.

Chief Data Officers need to put in place the right skills, resources and structures to share data at scale. Based on new Gartner research, we look at the options for creating effective data teams to meet local and central needs.

Constantly improving the performance on your data marketplace is vital to engage and convert users and to increase data consumption. Adopting the same funnel analytics techniques deployed on e-commerce websites delivers the insights needed to optimize performance and meet user needs.

The role of the data leader has never been more vital, but they face growing pressure to increase their business value and support AI initiatives. Based on a new Gartner guide, we outline the vision to follow to maximize success for their organization.