Blog

Data products are central to increasing data consumption across the organization. But how can you ensure your data product program delivers lasting value? We explore the latest best practice from McKinsey, designed to scale data product creation and usage.

To maximize the value of their data and effectively monetize it internally and externally Chief Data Officers (CDOs) and other data leaders need to build an agile, interoperable data stack. This has to integrate data, wherever it is stored and create seamless end-to-end flows that make it available as easily-consumable, business-focused data products to internal and external users, shared through our data product marketplace solution.

How can you create and scale data product programs? Based on new insights from Gartner, we explain the key processes required in building relevant data products that meet user needs on an ongoing basis, emphasizing the importance of data product marketplaces to drive consumption and ROI.

Data contracts are key to building trust in data in distributed environments, and are at the heart of data products. We look at how to build and enforce data contracts through a data product marketplace to unlock greater value from data.

It can be hard to understand exactly what a data product is, given the many ways that the term is defined and applied. To provide clarity this article provides a business-focused definition of a data product, centered on how it makes data accessible and usable by the wider organization, while creating long-term business value.

Learn how a data product marketplace underpins more effective data governance by providing a centralized and secure environment that delivers seamless, compliant, and structured access to data.

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.

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.

Data product marketplaces empower businesses and data leaders with the ability to industrialize data sharing and consumption to create data value. We look at the key foundations you need to put in place to ensure your data product marketplace successfully generates value, increases usage and drives ROI.

To meet their need to increase data consumption and maximize value, businesses are increasingly implementing centralized, self-service data product marketplaces. We look at what they are, and how they deliver value for employees, the business, data teams and data leaders.

In an increasingly data-driven world, understanding the differences between data, metadata, data assets, and data products is essential to maximizing their potential. This is because these interrelated yet distinct concepts each play a key role in driving digital transformation by facilitating data sharing and consumption at scale.

Growing data volumes, increasing complexity and pressure on budgets - just some of the trends that CDOs need to understand and act on. Based on Gartner research, we analyze CDO challenges and trends and explain how they can deliver greater business value from their initiatives.