Data cleaning is also referred to as Data Cleansing.
Data cleaning involves detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and involves identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data with corrected data.
Data cleansing enables the data owner to use the data within business processes, generate richer insights and derive value from the data
It does not matter how broken you think your data may be. This is an example of the types of datasets our clients need us to clean up.
Using our data cleaning processes, we are able to reverse engineer and associate an ID number and enriched data to the initial data record that our client thought they would never be able to use. Before you discard data, give Dracore the opportunity to fix your broken data so you can extract the value you need from your database.