The UK Government recently shared a Data quality action plan. The action plan is available to help you enhance and sustain the quality of data in your organisation. Before that, we want you to understand why data cleansing is essential for your data management strategy. In this infographic, you’ll find out what data cleansing is, what factors affect your data quality, and how you can clean your existing database to increase your ROI.
What is data cleansing?
Think of data cleansing as housekeeping for your records. Just like equipment needs maintenance and staff need training, your data needs care to perform at its best. Our research shows 30% of businesses suspect their customer data is inaccurate, and that can lead to wasted spend, poor customer experiences, and missed opportunities.
Data cleansing is the process of identifying and correcting records that are:
- Inaccurate or invalid
- Incomplete
- Duplicated
- Poorly formatted
And under GDPR and evolving data privacy regulations:
- Irrelevant or unnecessary
Clean data saves time and money, improves customer loyalty, and boosts trust in your business systems. It’s not just an end goal, it’s an ongoing strategy.
Your step-by-step guide to effective data cleansing
1. Profile your data
Where is data captured and stored?
Which teams rely on it?
What tools and processes can help keep it clean?
For a limited time you can take our quick survey for a chance to win a complimentary health check from Experian.
2. Understand your business requirements
Choosing the right solution depends on your challenges, in-house skills, budget, and tech stack. For ongoing data quality, consider integrating solutions into your existing systems:
- Real-time validation (address, email, phone) at point of entry
- Bulk cleansing for existing records
- Managed services for comprehensive data refresh
Our solutions help you:
Detect and correct errors
Spot and fix errors in postal, email, and phone records
Remove duplicates
Eliminate duplicates to avoid contacting the same customer twice
Standardise data
Format and standardise data from multiple sources
Record enrichment
Enhance your records with additional data for a complete customer view
3. Maintain data quality
Data cleansing isn’t a one-off task, it’s an ongoing commitment. In-house platforms offer agility, while outsourcing can deliver efficiency if scheduled regularly. The key is consistency. Clean, trusted data empowers better decisions, stronger customer relationships, and long-term success.
How can we help?
Start with a data quality health check to uncover inaccuracies and anomalies’. Get the opportunity to claim a complimentary data health check, highlighting areas for improvement based on your own data.
Get in touch
Alternatively, get in touch with one of our data quality experts to find out more.
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