Why do Data Need to be Clean?

The database should always be updated as per the organizations as it is necessary these days. Dealing with the customers becomes easy with the updated database and you can easily connect with the customers efficiently while keeping up with the compliance standards. Now, with everyday use by different team members, there are high chances of the data getting corrupt. It is also a possibility that some contacts may become obsolete over time and needs replacement.

That is where data cleansing comes to rescue since with this process you can ensure that you identify any inaccurate data and consequently correct them. Therefore, the data cleansing process aims to maintain clean customer database by finding out any inaccurate data (incorrect, obsolete, or incomplete) and remove the dirty data thereby, creating a single record for individual customer with all of their related information. While manual maintenance is usually followed, using the data cleansing tools is also picking up pace these days due to the complexity the database administrator has to face. Before we discuss the different methods used for data cleansing lets see why cleaning data and maintaining an accurate customer database is so important.

Keeping up with the compliance standards that is, Data Protection Act is an important aspect for any organization and so, the data cleansing plays a vital role here.
Cleaning data on a regular basis ensures that there is minimum wastage of information, that is, less wrong emails. This automatically cuts down the mailing costs thus, help your business save some resources.
Customer data is crucial for any business and so, you must make sure to maintain a clean database that enables quick repair of customer information thus, lowering the turnaround time.
Having all data at one single place not just enhances the quality of service, but also offers improved customer experience.
Marketing your business to potential clients is the major survival strategy for all enterprises, and so, a clean customer database will ensure that you have correct client information helping to generate better sales targets and proper management.

That being said, its still a tough task to manage a clean customer database.

Customer information keeps changing frequently and so, get obsolete very soon. Moreover, the customer databases in many businesses may have multiple information based on different parameters such as buying history, list of prospects, or email list. This can create a lot of confusion and mix up since the details of the same customer may appear on different databases with fragments of significant information under each parameter.

Therefore, your life is much easier when you outsource the data cleaning process and seek help from different data cleansing tools available in the market. Data Ladder is one such effective tool that's known for its advanced semantic technology that helps maintain the customer database by removing any unwarranted errors or duplicate entries that might be creating all the confusion. It, therefore, reduces the time spent on the entire data cleaning process and cuts down costs considerably thus, helping to improve the productivity of the company.

Some methods used for cleaning the data:

Reviewing Data

The cardinal step for data cleaning should always be to review the customer databases completely right at the start. Check any deviations or inaccurate data by analyzing/auditing the database with the help statistics and database techniques. The data generated via these methods should then help you to figure out the location and attributes of the deviations helping you to reach the root of the problem.

Employing different methods

The reviewing of the database should not be restricted to just using statistical or database techniques. The reviewing process must also include methods like purchasing data from outside and then analyze it in comparison to the internal data. But, if that does not suffice and the enterprise is facing a challenge with limited staff and time, use of an external telemarketing company is a better idea. However, here it is important for the company to be careful about their brand image and the work standards followed by the external organization.

Data integration

Data cleaning is not just about finding and deleting inaccurate data from the customer database, but it should be rather used to the company's advantage to integrate customer information and added details such as phone numbers, email address, or any other contacts time and again.

Reporting of information

Businesses must ensure that there is a robust management system within the organization that can timely and effectively identify and report any incorrect data and its update in the database. This can be achieved by a managed and feedback system intended for emails and an email that bounced back because it was not the right address. This anomaly should be reported and the incorrect email address should be removed from the customer database.

Repeat the same process

Its a constantly progressive world where everything is changing so fast, that businesses must be able to keep up with the fast pace and so, customer data like company email address, phone numbers, mailing addresses, etc. change very often. Therefore, simply running a onetime data cleansing process would not be the solution and thus, repeating the same data cleansing process on a regular basis is extremely important. Filtering of such inaccurate data and update of the customer database on a regular basis is the only way out to make sure that the company has a clean database.

Yes, data cleansing is a major process that is critical and time-consuming. Given that it requires a lot of time, effort and resources, it is a wise decision to use the reputed data cleansing tools available these days. Using data ladder for duplication or managing customer database along with cleansing is one of the best ways to keep clean records and ensure consistent growth of the company.

Source: HOB

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