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Material Data Cleansing

Effective data is achieved by eliminating errors and inconsistencies. Material data cleansing is the process of correcting or removing incorrect, repeating, and redundant details from the available data.

Our material engineers are highly capable and experienced in data cleansing and add value to the Material Management functions for various industries like automotive, oil and gas, packaging, pharmaceuticals, etc. by reviewing the existing data, identifying & removing outdated values and normalizing the short & long descriptions.

The result will be a final dataset that is of high quality, valid, and accurate.