The Data Product Marketplace: A Single Interface or Business
A masterclass on enterprise data marketplaces, exploring challenges, functionalities, user roles, and strategic value to optimise data discovery, publication, and management.
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- Enterprise Data Challenges: Explores six critical organisational data management problems like fragmentation, siloed information, and lack of data trust.
- Data Marketplace Core Functionalities: Explains three primary marketplace capabilities: data search, publication, and management with Amazon-like user experience
- Marketplace User Personas: Identifies key stakeholders including data consumers, product owners, domain leaders, and business strategists
- Technical Architecture: Describes marketplace technical interactions, data agreements, platform integration, and potential monetisation strategies
- Data Product Publication Process: Detailed lifecycle of data product development from intent declaration to scaled deployment
- Value Measurement Framework: Discusses linking business opportunities with data products and measuring tangible organisational value
- Implementation Considerations: Explores build vs buy options, cloud native solutions, and marketplace evolution from traditional data catalogs
- Governance and Compliance: Highlights standards, monitoring, and collaborative approaches to managing enterprise data ecosystems
Who is this course for
01
Data Product Manager
02
Data Governance Lead
03
Chief Data Officer (CDO)
What you’ll learn
Why do we need a data marketplace if we already have a data catalog?
Data marketplaces extend beyond catalogs by providing business context, user-friendly interfaces, and a holistic view of data products. While catalogs list data assets, marketplaces enable discovery, publication, and management with a product-centric approach.
How can we measure the value of our data products?
Use a value realisation framework that links business opportunities directly to data products. Track metrics like time saved, financial impact, operational efficiency, and direct business decisions enabled by the data product. Tools like Mind Fuel's Delight can help quantify this value.
What are the key challenges in implementing a data marketplace?
Primary challenges include:
- Data fragmentation and siloed information
- Lack of common data understanding
- Poor data lineage and metadata practices
- Difficulty in accessing cross-departmental data
- No clear link between data products and business value
The marketplace addresses these by providing a unified, transparent platform for data discovery, publication, and management.
Arielle Rolland
Arielle Rolland is a forward-thinking Data Strategist with deep expertise in data products, Datamesh. With global experience, she’s helped large enterprises unlock value through data product strategies, modern data stack implementation, and governance frameworks.
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