Data is a fundamental pillar and a very essential asset of every company. It accumulates quickly and pretty often it becomes a true challenge to maintain high quality of the data. To maintain high quality data it is advisable to create a data quality dashboard that is monitored on the ongoing basis. You can also maintain high quality data by implementing automatic email validation or address verification tools inside your CRM. However, most people ignore their system’s data quality until they require data migration into the new system that they really see the issues that exists with their data.

Though the worst scenario of dirty data that requires immediate attention, is when customers start complaining. For instance, the clients get multiple emails or their goods delivered to wrong places and customer service is clueless. Email verification, address verification, phone verification have not been updated for some time and now company performance and branding are at stake. Then the question of data quality and data integrity  arises sharply.

The way out is to clean the data as soon as possible using data cleansing best practices including: email verification, address verification, phone verification, address validation, duplicate finding, etc… It is critical to avoid such situations. That’s why it is important to maintain regular data cleansing to keep quality and well maintained data. Now a company considers to start cleansing and there are six things that should be considered prior to data cleansing services to succeed.

1 – Data Cleansing Audit

It is essential to understand data quality issues, perform through assessment of your data.. Define areas that require data cleansing. Run as many data analysis as possible to reveal not clean pieces of data. If you are about to migrate data make sure that dirty data won’t migrate to a newly installed system. This is the reason StrategicDB offers a free data audit to help you establish your data cleansing strategy.

2 – Establish a plan

Prior to data cleansing process define its objectives, timelines, budgets. It is critical to understand all issues involved and how best to tackle it. For example, you can add tools to your CRM to stop invalid emails from coming into your system in the future. Another decision to make is should you do data cleansing in house vs. hiring data cleansing professionals. The cost, time and employee expertise will help you make that decision.

3 – Back Up Your Data

It is very important to make sure your data is backed up prior to beginning any data cleansing. This is critical, as should anything go wrong you have a way to retrieve your data.

4 – Team Work

In most cases data cleansing involves many teams in the organization. Before the data cleansing project begins ensure that departments clearly understand data cleansing rules, establish good communication and discussion across the teams involved in the process. Pick up the best talent in each department to be successful.

Data cleansing is the process that improves current data set. It may include, for example, email verification, address verification, phone verification, zip codes validation, duplicates checks,  data matching, just to name a few, and it means changes. To avoid business disruptions make sure that employees involved get a detailed overview of all changes and have reference documents at hand and stay aware of all the updates.

Professional data cleansing processes have proved to improve revenue, customer retention and acquisition, refine marketing and CRM strategies, bringing confidence and success to many companies. Clean data means road to success. If you need a free data audit, require data cleansing services or help with your data cleansing reporting, do not hesitate to contact StrategicDB a full service data cleansing company.