Is Your Database Inaccurate or Duplicated? It’s Time to Clean it Up!

by Ringlead Admin July 18, 2016
July 18, 2016

Did you know that over 30% of the current records in your database are either duplicates or just bad data altogether? Imagine how much time your sales team is wasting managing those useless leads. Data Cleansing is the process of removing faulty or inaccurate data from any type of database.


The importance of data cleaning tools


Various kinds of data are described as faulty or “coarse” if they contain duplicate entries or inaccurate information. Due to the prevalence and importance of digital marketing, businesses that handle large volumes of data will need to scrub it on a regular basis. Using data cleaning software tools, errors and inconsistencies can be corrected or deleted quickly and efficiently.



Some of the most frequently-used data in business management and marketing include customer contact information and related information on sales leads. Inaccurate data can cause plenty of problems when it comes to customer relationship management and the creation of promotional campaigns. With data that isn’t reliable, CMO’s would find it difficult to make the best choices that determine continuing profitability.


Data cleansing – a quality control measure


Data cleansing is viewed as a separate activity from qualifying sales leads, and it’s a needed quality control measure that can be automated with the right CRM database tools. With this process, leads can be qualified and data errors can be corrected much faster and more efficiently.


One of the most problematic types of data is B2B data, which can be more prone to errors in some cases. Some of the most frequent issues include outdated information, missing contact information, and inaccurate entries.


Be sure you target the right audience


Coarse data can lead to marketing programs that target the wrong audience, along with customer outreach efforts that reach duplicate entries in the databases. This alone is the main reason for the importance of implementing tools that are able to sort, parse, organize, and clean up all types of data.

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