Critical capabilities
for managing data products

Automated data access management
Managing who can access which data product is a crucial part of governance. Data sharing agreements and access management protocols should be in place to ensure the right people have access to the right data while complying with data privacy and protection standards. Flexible options for request fulfillment, whether automated through workflows or integrated with tools like Jira, ensure timely access and delivery.

Additionally, the ability to query data within data products allows users to explore the underlying data and derive meaningful insights.

Usage tracking and reporting
Tracking data product usage provides valuable insights into their adoption and value within an organization. Analytics and monitoring tools help users understand which data products are most popular or valuable and highlight trends in user behavior. This data can guide future development efforts, product prioritization and continuous improvements, fostering a data-driven culture.

These critical capabilities ensure that organizations can build and deploy data products
that are easily discoverable, understandable, trustworthy, accessible and valuable for the
appropriate end-users.

How can you ensure the data product does what it needs to do?
Managing data products requires flexibility, automation and user-friendly tools to help organizations get the most value from their data. Here are some essential capabilities
for building and deploying data products:

Flexible data product framework
A flexible framework is crucial for organizations to deploy data products based on their needs while following industry standards and best practices. Pre-built, out-of-the-box (OOTB) solutions can provide useful templates and guidance but should also be customizable. Organizations should be able to define their data product components — such as business use cases or data contracts — and lifecycle stages.

This flexibility makes it easier to curate, enrich and publish data products, and streamlines the development process. Automation further helps by simplifying discovery, metadata enrichment and publishing to a data marketplace, ensuring products are readily accessible and up-to-date.

Seamless access and collaboration
Easy access and collaboration are essential to make the most of data products. A robust data marketplace acts as a central hub where data consumers can easily search for and discover relevant data. Features like semantic search, filters and data similarity-driven suggestions help users find what they need and discover other relevant assets. Contextual data asset views provide deeper insights into data products, helping users assess their usefulness through previews and detailed asset pages. Allowing consumers to request access, review comments and ask questions, enhances collaboration and ensures smooth data sharing between teams.

Interested in learning where
to start with data products?

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Unleashing data’s full potential with data products

By now, you should understand why building and deploying effective data products is essential for maximizing data’s value within an organization. By following these best practices, you can ensure that your data products deliver value by driving innovation and aligning with business goals.

You should also understand more about how a data marketplace is the perfect way to provide access to curated data products. And how protecting data products from the start ensures greater usability and compliance.

Embrace the principles outlined in this guide to create data products that meet current needs and adapt to future challenges and opportunities.

Learn more about how data products can help you deliver value, drive innovation and realize business objectives.

Get started with the data products webinar