What is Automated Data Cleaning and why should you be using it?

Customer engagement has changed, organisations need their customer data to be clean, up to date and ready to use at all times.

At the same time, GDPR demands organisations keep on top of their data and maintain a clean contact for all customers. That creates challenges for large organisations in terms of how to ensure their data is both ready to use and compliant while managing complex outsourced, or even in house, large data cleanses.

For many organisations they are starting to use an Automated Data Cleaning solution to solve this problem.

What is Automated Data Cleaning?

Dynamic data cleaning is a process of continuously cleaning, validating, and updating data in real time, ensuring that it is accurate, complete, and compliant with regulatory requirements. The process involves using software tools and algorithms to detect and correct errors and inconsistencies in the data, remove duplicates, update contact information, and suppress records of customers who have moved or passed away.

What is an Automated Data Cleaning tool?

Unlike traditional data cleaning methods, which involve periodic large-scale data cleansing, automated data cleaning is an ongoing process that monitors data changes and applies real-time updates. Automatic data cleaning ensures the data is always up-to-date and ready to use, eliminating the need for time-consuming ad hoc data cleansing jobs.

Automated data cleaning is vital for large organisations that handle large volumes of customer data, as it helps to ensure that the data is accurate, complete, and compliant with regulatory requirements, such as GDPR. It also provides a single source of truth for the organisation, enabling better customer targeting, segmentation, and engagement.

Five reasons you should be cleaning your customer data using data cleaning tools:

1. Customer engagement:

Automated data cleansing helps companies better engage with their customers by ensuring that customer data is accurate, complete, and current. This allows companies to send relevant and timely messages to their customers, improving the customer experience and building brand loyalty.

2. Compliance:

Automated data cleansing ensures companies comply with regulatory requirements like GDPR. This reduces the risk of regulatory fines and reputational damage and provides peace of mind to both customers and stakeholders.

3. Operational efficiency:

Automated data cleansing eliminates the need for time-consuming ad hoc data cleansing jobs, reducing the time and resources needed to manage data. This improves operational efficiency and reduces costs associated with data management.

4. Better decision-making:

Automated data cleansing provides accurate and complete data, enabling better business decisions and improved outcomes. This can lead to increased revenue, profitability, and customer satisfaction.

5. Competitive advantage:

Automated data cleansing provides a competitive advantage by enabling companies to leverage customer data to improve customer engagement, reduce costs, and drive business growth. This can help companies to stand out in a crowded market and gain market share.

Data cleansing solutions

Automated data cleansing is a critical tool for companies that want to improve customer engagement, ensure compliance, increase operational efficiency, make better decisions, and gain a competitive advantage in their market.

We offer a range of data cleansing solutions to help you maximise business performance, including our self-serving data quality management platform, Online.

Get in touch today to find out how we can help with your customer data solutions.