Customer Case Cargill

Cargill was founded in 1865 and is the largest privately held corporation in the United States in terms of revenue.

"Our purpose is to nourish the world in a safe, responsible and sustainable way. Every day, we connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive.

We combine our experience with new technologies and insights to serve as a trusted partner for food, agriculture, financial and industrial customers in more than 125 countries.”

 

Our approach

Know your customer

The client was integrating two business units and the complexity of working over multiple geographical regions had a big impact on the quality of the business reporting.

 

We identified two major issues that would be highly difficult, but useful for the business to address with respect to the business targets:

  • Inventory overview
  • Shipment overview (On-Time in Full delivery)

Proof of Value

We selected two geographical regions, based on relevance and scale. Together with the business, we analysed the regional reports and how these are created and maintained. 

Due to the lack of in-house knowledge on the lineage and calculations, we re-engineered and consolidated the reports into one new, aligned and global dashboard per topic, based on the raw data.

Industrialisation

Together with the data engineering team, we put both dashboards into production with periodically automated workflows on the central data platform that are future-proof.

Outcome

  • Business alignment between regions on definitions of concepts related to inventory or shipments
  • Fully automated data workflows on the client’s central data platform
  • One automated dashboard per topic

Benefits

  • One version of the truth, with transparent data lineage
  • Better visibility and understanding of the inventory and shipmentsMore management impact due to higher availability and frequency of reports
  • Improved tracking and management of business targets
  • Elimination of manual efforts reduces chance of human errors
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