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Could you elaborate on the data cleansing procedure employed at TradeInt?

Could you elaborate on the data cleansing procedure employed at TradeInt?

The data cleansing protocol at TradeInt comprises multiple steps aimed at ensuring the accuracy and integrity of the data we deliver.
Step 1: Removal of Duplicate or Invalid Entries
  • We systematically eliminate duplicated or invalid data from our dataset, including entries duplicated during data collection from various sources or received from authorities. This de-duplication process ensures data integrity, and any irrelevant or empty fields are also removed. Step 2: Refinement of Data Structural Formats
  • We address structural anomalies in the data, such as inconsistent formatting, localization of translations into English, rectification of peculiar naming conventions, or adjustment of erroneous data headers. This step ensures data uniformity and accessibility. Step 3: Validation of Data
  • In the final stage, we conduct thorough validation checks to ascertain the accuracy and reliability of the data. This involves basic validation procedures to ensure data integrity throughout the cleansing process.