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It might come as a surprise, but studies suggest that over 30% of the records in your database right now are duplicates or inaccurate data. Imagine how much time your sales team is wasting managing those unusable leads. Data cleansing is the process of refining your company’s data so it’s free from errors, duplicate content, and outdated entries. In order for marketing and sales professionals to make use of raw data, it needs to be processed in a timely manner. Regular checks and scrubs on data are vital for avoiding the high costs and frequent mistakes that arise from working with bad data.

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The Cost of Duplicate or Corrupted Data

One third of most companies’ data is duplicated information or corrupted. Is yours?

Marketing experts say that 30% of your business’s data will become outdated, corrupt, and inaccurate within the next year. This happens for any number of reasons; customers switch their contact information, B2B contacts change companies, contacts get promoted or relocated, and profiles on target customers become outdated as more information about them becomes available but isn’t utilized.

These inaccuracies in your raw data come with high costs. They can cost your marketing and sales staff untoward amounts of lost time and productivity. Not to mention the negative effects on your company’s bottom line. According to the Data Warehousing Institute, poor data quality costs American businesses up to 600 billion dollars a year. Given this large sum, it’s remarkable that more business owners aren’t paying closer attention to this serious issue.

Problems Resulting From Bad Data

Incorrect or bad data can lead to any number of problems from bad decision making to bad business. With corrupt, inaccurate, and outdated raw data, your marketing professionals can miss new groups of potential target customers. Sales personnel can miss customer connections by dialing the wrong phone numbers or sending promotional newsletters to the wrong email addresses. Due to these missed opportunities, chances to generate more sales can be left on the table.

A common solution among many marketing professionals is to gather and add more raw data without any effort to cleanse the existing data. This tactic can make the problem worse because bigger volumes of raw data are even more prone to errors.

A much better approach is to deploy an efficient, user-friendly data cleansing strategy that will ensure both new and stored data will stay free from errors or corruption. The most common challenge is to find the right software tools that are capable of scrubbing and updating all types of raw data as well as various common errors.

The Right Data Cleansing Tool Is Absolutely Critical

The right data cleansing tools will be able to source, evaluate, and process all types of data your company uses for marketing efforts, and one of these programs can be set up to perform many data cleansing tasks automatically at regular time intervals. You can set and adjust these intervals according to the numbers of new sales leads or business contacts your company generates throughout the year.

RingLead offers a complete line of products to clean, protect and enhance company’s CRM data, leads and contacts. Our data cleansing software platforms have helped more than 2,000 different companies clean up and refine their data, ensuring much better customer relationship management strategies.

Many clients have reported that their new data strategy has allowed them to uncover new marketing opportunities they would have otherwise missed. The tools included in these software platforms will automatically detect duplicate entries, correct errors, and standardize the format in which content is entered in a given database. By running this type of data cleansing on a consistent basis, your marketing team will find itmuch easier to uncover new promising sales leads and not waste time and efforts on useless leads.

The author:

Timothy is a digital marketer in the SaaS space with a consistent record of delivering extraordinary results in activating B2B integrated marketing campaigns entailing demand generation and data driven growth strategies.