Data Cleansing Solution for Agile PLM
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Data Cleansing Solution for Agile PLM

Date & Time

  Thursday | Nov 21, 2019 | 02:30 to 3:00 PM EST = 11:30 to 12:00 AM PST  


Many Agile clients have duplicate, incomplete and erroneous part data and BOM structures in their PLM systems. This creates a real problem for engineering, production and purchasing with added expense to resolve production disruptions, in collecting compliance data and a lack of purchasing optimization. There can be a significant, immediate savings in a Data Cleansing program. And, it’s easier than you think.

We have developed a tidy solution without the need for programming using the latest machine-learning algorithms to:

  1.  Get it clean and
  2.  Keep it clean


  1.  Extract the data out of Agile and create a profile to identify the data concerns.
  2.  Apply the Data Cleansing algorithms to fix the data problems
  3.  Create a Keep it clean process to fix the ongoing data created in Agile.
  4.  Load the changes back into Agile with Redlining and proper ECO controls in place

We will demonstrate the recent work we have done with a Hi-tech manufacturing company for the Bills of material cleansing and restructuring for Agile. It is a great time saving effort with very little manual effort.


Peter Robinson

Peter Robinson - Director of Strategic Accounts - PLM

Persistent, results-driven executive with 10+ years in PLM data movement, data enrichment, systems integration (on-premise, SaaS or hybrid). Strategic leader for ChainSys West Coast operations.

Sundu Rathinam

Sundu Rathinam - Cheif Solution Architect

One of the founders of Chain-Sys, Sundu Rathinam has over 25 years of experience in the field, Sundu is recognized an Functional and Technical guru & belongs to an elite group of people that are indispensable tothe industry. He has helped solve countless technical challenges for fortune 500 companies, which are now adopted as industry standards.