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PBT GroupAWS DataIKU Workflow Optimisation
AWS DataIKU Workflow Optimisation​

The Company

A multinational manufacturing organisation.

The Business Challenge

In order to do stock optimisation simulation, this organisation’s data needed to be transformed and validated in a series of complex steps.

The Solution

DataIKU was already being used as data science platform to wrangle the data into the shape needed for the eventual solution. It was discovered that a repetitive validation and selection process was being followed for each of the various input sources, but that these processes varied in quality and steps, based on each persons style and skills. The solution had to address the resulting inconsistencies. Applying Data Engineering techniques, a few processing patterns were designed and implemented as DataIKU plugins and macros. Using the DataIKU public API, this now provides the client with a few standardised options to automatically apply standard validation and selection processed.


The Value Proposition

Using the DataIKU API, these repetitive steps could be automatically generated, which reduced the validation and selection development time by an order of magnitude, while also automatically taking care of naming standards and best practices across all validation processes.


AWS, PostgresSQL, DataIKU, Python

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