Objective

Plug-and-Play Analytics has a huge impact on how enterprises at any scale answer their predictive business questions. Companies can decide by their own how insights and foresights get computed from historical enterprise data, facts & observations and real-time event streams.

In most cases the amount of these data pipelines is going to increase fast. Data-driven enterprises have to master hundreds or even thousands of data integration and analytics pipelines to gain valuable insights for their business decisions.

Corporate adoption of a unified pipeline platform is an important but only the very first step. An enterprise-ready solution to manage a huge amount of data pipelines is at least as important.

Business Context

Data pipelines represent technical solutions, designed to retrieve automated insights and foresights. They define the end of a certain business case and are often related to other pipelines that refer to sub tasks of that business case.

Most data analytics platforms are solution centric and leave it to the enterprise how to “document” which business case or problem turned into which tasks, and, how these tasks map onto data pipelines.

Business Templates

However, business cases and associated tasks represent an important context : Knowing which case is organized in which tasks and solved by which pipelines and plugins is a huge treasure of business knowledge as

it describes what companies do with their data and why.

PredictiveWorks. addresses this aspect and introduces the concept of business templates:

Business templates define structured information, storable in a database, that integrates business cases, their tasks and associated data pipelines including plugins in a single manageable object.

Business templates are key to enterprise pipeline knowledge management.