Transforming your organization's data from a passive resource into an active, value-generating asset. Discover the fundamentals of the Data Product mindset.
Traditional, centralized data architectures (warehouses and lakes) have become massive bottlenecks. They fail to scale because the central IT team lacks the domain context needed to generate rapid insights.
"Data as a Product" applies standard product management principles to datasets. It means treating data not as exhaust, but as a carefully engineered asset built for a specific consumer.
To successfully build and manage a Data Product, modern data teams rely on two distinct operational frameworks.
A methodology for building prescriptive data products. Instead of starting with data and looking for a problem, you start with the objective and work backward to the data.
Data is never "finished." A Data Product requires continuous management by a Product Manager, flowing through an infinite loop of creation and improvement.
DataKnobs, a premier data company, doesn't build data products manually. They utilize a highly scalable "Factory Model" to generate business value consistently.
They focus on taking raw data and elevating it through a spectrum of capabilities: from simply revealing what happened, to predicting what will happen, and finally recommending and automating the optimal action.
Read the full DataKnobs Case StudyGuarantees schema stability and quality before the product is published.
Data is exposed purely through secure REST APIs, GraphQL, or certified SQL views.
Built by decentralized teams containing a Data Engineer, Product Manager, and Domain Expert.