CASE STUDY
Merging Asset data
Location: Australia
Partner: Confidential
Year: 2018
Project Type: Definition of a Standard Class Library
Background
& Challenge
Through Merger and Acquisition activity our client had inherited new assets with disparate coding systems and poor quality data, leading to an inability to share information and materials. This was leading to increased costs and a potential lowering of facility ‘up time’ resulting in lower production levels.
DIGATEX’s
Solution
Working with the clients the DIGATEX Team defined a standard Class Library that provided a more structured approach to Data Management. Data Mapper a DIGATEX machine learning solution was made use of by the client Subject Matter Experts to greatly speed up this effort to create a standardised way of describing parts and materials.
Implementation
& Outcome
Product Utilised: DIGATEX Engineering Hub
Major Benefits
Time Efficiency
A manual solution, outside of DIGATEX technology would have expended many more engineering manhours.
Cost Savings
Cost Savings: Reducing engineering manhours, resulted in decreased cost.
Operational Continuity
Operational Continuity: Access to essential parts was uninterrupted, maintaining the project’s momentum.
Conclusion
As a consulting exercise DIGATEX were engaged by the client team to assist in the definition of a Class Library by making use of the DIGATEX ML and AI technologies. As the client was acquiring new assets they inherited inconsistency across ERP Data that had to be resolved across the broader Enterprise.
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