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A global supplier and manufacturer of automotive electronics and components was facing cycle time constraints and data challenges with customer facing Quality initiatives. They had limited visibility into defects and status. They were slowed by manual processes, poorly designed data flows and outdated data model, and a lack of modern data and analytics capabilities.
This supplier found that their Quality team lacked a single source of truth, which created a lot of friction in the organization due to data variations and associated challenges. The processes for using and accessing data needed sharper definition to set the stage for success. In addition, enterprise data literacy became a concern when they discovered that a new global analytics platform was necessary in order to achieve their goals.
Axis Group consultants updated the data and analytics operating model and tech stack to provide:
“Stability, in turn, helped and continues to help drive Quality upstream, which in turn leads to better Quality downstream.”
"We can communicate more effectively now, and surprisingly, we now use much less PowerPoint.”
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