Data Transformation Services

Do your engineers spend too much time searching for parts in the PLM/ERP systems?
Are your component descriptions as good as you would like them to be?

The Electronics industry is characterized by constant growth and fast evolving technologies, which make it a challenge for manufacturers to keep their data systems up-to-date with the changes in the market and to streamline and maintain internal operations. This lag invariably causes avoidable inefficiencies in engineering, production and supply chain management.

Enventure's solution?

Enventure's Data Transformation Services enable Electronics manufacturing companies to efficiently manage their component databases residing in PLM, PDM and ERP systems.

 Typical issues seen in most component databases include incorrect or incomplete part numbers, insufficient or wrong descriptions, existence of duplicate and obsolete parts, missing lifecycle information, lack of second sources, and improper commodity classification.

Most of these problems are created due to poor data governance policies while other issues may crop up because of Mergers & Acquisitions that call for consolidating data from disparate systems and non-standard formats.

Enventure's Data Transformation services enable organizations to develop a 'Golden Database' of components,which is clean, unique, up-to-date and has information that is mission-critical for engineering, supply chain, purchasing and manufacturing. Enventure also remotely maintains this database on an on-going basis to ensure consistency and accuracy of data.

Enterprise Content Value Chain

Enventure’s Data Transformation Services enable customers to:

• Create and update electronic component databases with detailed part parameters, compliance information, electro-mechanical parameters, packaging information, and other custom fields
• Dramatically improve ROI on enterprise software systems
• Identify high risk components based on lifecycle status
• Plan for component obsolescence
• Improve management of in-bound supply chain
• Prevent sourcing delays caused by incorrect part data
• Identify buying patterns across locations
• Reduce procurement costs
  
  Please Click Here to download a Case Study on Data Transformation Services.