Data Cleaning: What is it, and why does it matter

Data hygiene (or data cleansing) is the process of detecting and correcting corrupt or inaccurate records from a record set, table, or database. You might be wondering, what does this look like in the real world.

Examples of dirty data includes:
• Duplicate records
• Name misspelling
• Inconsistent/inaccurate phone numbers
• Inconsistent/inaccurate email address
• Inconsistent/inaccurate membership number
• Outdated data
• Improperly formatted data

You might be thinking “great- but how does this impact me in the real world for my business”? Having clean data impacts all teams in an organization.

• 1st Party data accuracy (Marketing/Finance)
• Accurate sizing of prospect opportunity (Marketing/Finance)
• Marketing investment optimization (Marketing/Finance)
• Deeper insights (Business/Marketing Intelligence)
• Optimized performance of your back-office data processes/management (IT)

Regardless where you sit within your organization, the integrity of your data to make your next business decision should be top of mind.

If you would like to learn more about data cleaning, fill out this form to be contacted by The Data Miners Team.