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Data Cleansing

 

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The transformation of your company data in it’s current state to a pre-defined, standardised format using off-the-shelf software as well as customised queries and functions. Our aim is to remove or correct the “dirty data” (i.e. incomplete, inconsistent, out-of-date, incorrectly formatted) on your database systems.

The main purpose of data cleansing is not just to clean up the data, but also to bring consistency and add value to the multiple sets of data in your organisation.

Typical Data Cleansing tasks we perform include the following:

Correcting spelling mistakes and abbreviations

Identifying and dealing with duplicate records

Identifying erroneous records

Fixing or deleting erroneous/foreign characters

Updating missing information e.g. postcodes, titles, suburbs etc. where possible

Checking postcode and boxcode ranges

Standardising data

Unnecessary spaces

Correct data in correct field (data shuffling)

Changing the case of records to sentence case where appropriate

Translating between English and Afrikaans

Quality checks on telephone and cellphone numbers (correct length, dial codes, cellphone prefixes, etc.)

We can also assign household and personal income estimates based on the suburb