Clean-Ups Aren’t Limited To Spring Cleans – Why Your Data Needs A Polish


Data is instrumental in making business decisions, assessing customer engagement and developing growth strategies. A business’s data generally double in 12 to 18 months, so data decay will inevitably occur. This is why cleaning up your business’ data periodically is essential to halt the problems from unclean data. Below are reasons and tips to keep your data clean.

Benefits Of Clean Data

Data is essential for analytics, which shapes your business’ direction and practices. The benefits of clean data are as follows:

  • Streamlines business practices by eliminating any duplicate data
  • Improves customer acquisition (ensuring the highest return on email campaigns and other marketing strategies)
  • Increases efficiency by revealing useless tasks
  • Enhances the decision-making process by providing the accuracy of data
  • Allows for an accurate assessment of the success of products and services.

Dealing With Old Data

There is an art to data cleaning that ensures efficiency and thoroughness, without eclipsing

potential opportunities. You should not engage in a mass delete beyond a specific date. Old data is important in tracking business growth and establishing customer lifetime value which can be used to create a targeted reactivation campaign. Therefore, an effective archiving system is vital.

Tools For Data Cleansing

Several software programs are available to work in tandem with IT professionals, but you should ensure your data cleaning follows specific procedures. For instance:

  • Data scrubbing removes invalid customer addresses and checks data has been entered correctly. This is essential as the blacklisting of your systems results from repeatedly emailing an invalid address.
  • Data auditing uses statistical databases to detect inaccuracies. Comparing external and internal data is useful to ensure the data auditing process is well executed.
  • Data consolidation is the process of merging data accounts. The system targets duplicate addresses, which can hurt marketing if data provides a misleading picture of the company’s reach and inhibits efficiency.

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