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Data Products act as the foundation for your data-led projects, resulting in valuable,
always ready data to help move projects forward quickly.
Data teams focused on business impact
are more effective at prioritizing data delivery demands.
Data products include pre-
integrated data approved for use
which is trusted by consumers,
improving the cycle time to
analytics delivery.
Time to
Analytics
(speed)
A critical promise behind data products is
that they must support DataOps practices for
agile data integration, continuous integration
/ continuous delivery, change management
and issue resolution (schema drift).
DataOps
Support
(agility)
Data products enable domain teams to
get closer to data by providing
well-documented schema, semantics,
ontology and usage guidance
increasing reliability.
Trust
Product management principles support
iterative and agile best practices to create,
maintain, operationalize and manage the
life cycle. Data products can be reused
and scaled across use cases quickly
Reusability
(scale)
Monetizing data, by sharing it
across data exchanges and
marketplaces, requires the
creation of data products.
New Revenue
Streams
(monetization)