Business Assets

Pipeline management is an important instrument for data-driven enterprises to organize their hundreds or even thousands of pipeline assets.

PredictiveWorks. seamlessly integrates these technical assets with business cases, tasks and goals, and transforms them into structured business templates. Each of them is a highly valuable business asset as it describes root cause, the why and how enterprise data turn into business insights and foresights.

PredictiveWorks. considers business templates as the foundation of choice for a powerful pipeline knowledge management.

Market Place

Knowledge management is a longstanding and proven instrument for documents, emails, images, videos or other media. To our best knowledge, however, it has never been applied to structured analytics templates and data pipelines.

What is the best approach to organize pipeline knowledge?

Leveraging existing knowledge technologies and organizing business templates in RDF knowledge bases and offering SPARQL query mechanisms is certainly a technical option. But do we really have to follow such a sophisticated approach?

What about user experience and acceptance in an enterprise environment?

PredictiveWorks. considers user acceptance and experience as a first-class citizen and offers a completely different approach:

Pipeline Knowledge Management is organized as a market place. Discovering business templates to solve business problems and reach desired goals turns into a shopping experience with proven features such as

  • "Product" search,
  • "Product" recommendations, and other
  • Discovery Patterns, e.g. Users who are interested in this "product" also considered that "product".

PredictiveWorks. is the world's first pluggable analytics platform that offers a "shop for insights" experience.

The template market organizes its “product catalog” aligned with Gartner’s analytic dimensions:

  • What happened “products”,
  • Why did it happen “products”,
  • What will happen “products”, and
  • How can we make it happen “products”.