Best Practices for Data Cleansing and Data Appending


Before embarking with data cleansing, it’s necessary to know the best practices that can help you with inaccurate and messy data. 5 best practices that you can render help from:

  1. Prepare a data quality plan

Identify the area with more data quality errors &incorrect links and prepare a systematic quality plan based on the root problem.

  1. Check data at entry point

Evaluate the contact information at each and every point. This phase ensures that all the data you have gathered so far is standardized. Hence, when it is registered in your database; there will rare chances of redundancy.

  1. Confirm the accuracy of your data

Validate your database information by cleaning out your existing database. You can invest on effective marketing data tools like address verification software for merging your various data sets.

  1. Check out duplicates

Identify the redundancy by implementation of tools that can easily identify duplicate data in your database. This way, you can save more time from such manual work.

  1. Append the data

Last step after validation, standardization and removal of redundancy is to use third-party sources for data appending. These third-party sources can impart information that is fetched from first-party sites.

The data thus obtained is compiled to identify whether it is complete information for analytics and business intelligence. This helps you to not only enhance your customer segmentation, but also send specific information to targeted audience.

Just how clean is your data? Identify where your data requires attention, allowing you to choose which areas to improve.

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Well, what now? How would you figure out whether you have made successful data cleansing and data appending attempt?

When it is done correctly, data cleansing and appending shows following signs:

 Functions along with various schemas and mapping functions for data transformation.

 Spots errors in single/multiple data sources and removes it completely.

 Employs various tools to reduce manual efforts for inspection.

Well, now you can reduce the chances of facing ‘dirty data’ by systematic implementation of data cleansing and data appending on regular time basis. Not only will it save your database from degradation but will also improve your IP reputation.

So what are you waiting for? Implement data cleansing and appending and paint your email marketing business with bright colors of maximum revenue and ROI.