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data cleansing vs. data enriching

Data Cleansing vs. Data Enriching: What’s the Difference?

When it comes to data hygiene, there are a number of “buzzwords” that often get tossed around in the B2B data space that can be a bit ambiguous. Data Cleansing is pretty self-explanatory. But then you throw in Data Appending and Data Enriching and the definitions of (and delineations amongst) these terms start to get significantly murkier. So what’s the difference between data cleansing vs. data enriching?

So for the sake of clarity (and a clean database), we’re going to get right down to it and talk about what each of these terms means.

What is Data Cleansing?

Data cleansing is the process of detecting and/or removing corrupt or inaccurate records from a set of data. Through data cleansing, you can identify which contacts in your database are incomplete, incorrect, inaccurate, or irrelevant.

 

During the actual process of data cleansing, we run your dataset against our 140M+ records and flag the entries in your data that are incorrect or inaccurate. Typographical errors are removed or validated and corrected via cross-checking with our triple-validated data.

Data cleansing is all about identifying inaccuracies and redundancies in your database so you can then append/enrich your data for more complete, up-to-date information.

What is Data Enriching/Data Enrichment?

Data enrichment is a general term that applies to the process of enhancing, refining, and improving raw data.

In marketing, your audience is your most important asset.

It is arguably more important than your product. In order to best market to your audiences and contact databases, you have to know as much about them as possible.

Starting with your data, our algorithms match to contacts and companies within our database. We then layer on Synthio’s 50+ data points. Our Data Health Analysis that comes with each Append highlights whitespace enrichment and data that is different from yours. Now your audience is up-to-date.

Synthio can also connect those freemail email addresses. Freemail addresses are no longer wasted space in your CRM/MAP because our software can link them back to a B2B email address and persona. Once it has been tied back to a B2B email address, then we can start layering the other 50+ rich data points.

What is Data Appending?

Data appending is another frequently used term that is synonymous with data enrichment. These terms may be used interchangeably.

What’s the Difference Between Data Cleansing and Data Appending?

Data cleansing is the process of identifying if your contact data is still correct/valid, while contact appending (also known as “contact enriching”) is the process of adding additional information to your existing contacts for more complete data.

What’s the Difference Between Data Cleansing and Data Enrichment?

Data cleansing is the process of identifying if your contact data is still correct/valid, while contact enrichment (also known as “contact appending”) is the process of adding additional information to your existing contacts for more complete data.

What’s the Difference between Data Appending and Data Enriching?

Both are terms used to describe the process of updating existing contacts with accurate information and filling in the whitespace by adding 50+ fields of data. Data appending and data enrichment may be used interchangeably.

Conclusion

Now that you can you understanding data cleansing vs. data enriching and can differentiate between key data hygiene terms, you’re all set to start the process of tidying up your data.

Ready to get started? Check out our Data Cleansing Buyer’s Guide for tips to help you find the perfect data cleansing provider to meet your needs and finesse your database.

Data Cleansing Buyer's Guide