In this session, Priyanshi discusses how organisations can boost data adoption using a data product marketplace. She highlights the inefficiencies in traditional data project lifecycles, where data discovery and preparation are time-consuming. The data product marketplace approach focuses on building reusable, well-governed, and discoverable data products that can be leveraged across multiple use cases, significantly accelerating insights and reducing redundant work.

Key features of the marketplace include:

• Searchable and well-documented data products with built-in quality, governance, and contextual information.
• Enhanced discoverability through filters, favourites, and domain/use-case mapping.
• Compatibility with external tools (e.g., Excel, Tableau, APIs) to increase adoption.
• Feedback loops to keep data products relevant and up-to-date.
• Visual lineage and semantic models to help users understand data relationships and trustworthiness.

She showcases an implementation of the data product marketplace, emphasising how users can quickly find, evaluate, and use data products for various business and technical needs. The session concluded with a call to adopt use-case-driven, well-governed data products to revolutionise data usage across organizations.

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