Care for your data to help your business grow
All of your business assets need loving care so that they don’t let you down. Equipment needs upkeep to work at full capacity. Staff need support and training to work to the best of their ability. But what about your data?
Data needs to be cared for just like other key business assets. But our research shows 30% of businesses suspect their customer data is inaccurate1. That’s where data cleansing comes in. It’s a bit like housekeeping for your records. As a world leader in data quality software and services, we can help you clean your data regularly or as a one-off job, so it’s correct, complete and not duplicated. But clean data is not an end in itself.
The benefits of data cleansing
Keeping your data in tip-top condition helps you unlock its value. Clean data saves you time and money, creates new business opportunities and protects your reputation.
- Improve decision making: Make smarter and quicker business decisions by having accurate and complete data at your fingertips
- Save time and money: Target marketing at your best customers to maximise returns, minimise losses and reduce waste
- Better understand your customers: Plug gaps and add to your own data, so you get a complete view of your customers and win new business
Data management
Build an accurate, detailed and consistent picture of your customers
Add to your own data
Enhance your own records with an extensive range of extra data
Correct format
Format and clean your data as it flows in from different sources
Eliminate duplicates
Identify and remove multiple versions of the same record
Email and phone verification
Make sure only up-to-date customer contact details enter your database
Link records
Combine customer data from different sources, so you can view it one place
Key Features of our Data Cleansing Services and Software
Did you know over three quarters of businesses believe inaccurate data makes it difficult to deliver an excellent customer experience? Our data cleansing solutions help detect and rectify errors to help you prevent this from happening.
Spot and fix errors
Identify and correct mistakes, standardise and manage records, fill gaps and add to your own data to get the most out of the information you collect.
- Identify and correct mistakes in postal, email and telephone records
- Spot duplicate records to avoid contacting the same customers multiple times
- Enhance your records with extra data to understand your customers better
Manage your data better
Make your data trustworthy in a matter of minutes. Format data as it flows in from different sources for instant results.
- Quickly and easily analyse data to spot problems
- Manage data projects easily and with minimal training
- Spot data quality problems before they damage your business
- Comply with data regulations and prepare for statutory reporting
Unlock your data’s potential
Only 18% of organisations say they have a complete view of their customers3. We can help you create a fuller and more precise picture, which will help you make smarter business decisions.
- Assess the accuracy of your data and correct it where necessary
- Fill gaps and improve the quality of your records
- Spot and remove duplicate records
- Link different records for each customer
Trust your data
Identify and sign up the best talent fast, at the touch of a button.
- Fill in gaps and correct errors
- Remove contacts who’ve moved, passed away or opted out of receiving communications
- Improve your data by adding to it from external sources
- Gain a fuller picture of your customers to target marketing campaigns more effectively
FAQs
Data cleansing, sometimes known as data scrubbing, is a way of spotting, correcting and/or removing information in a database that is wrong, incomplete or duplicated. Data cleansing also identifies records deemed irrelevant or unnecessary under the General Data Protection Regulation (GDPR).
Data cleansing can be done on a regular basis or in one go using software, tools and/or the services of a data cleansing specialist.
Personal data such as postal addresses, email addresses and telephone numbers inevitably go out of date because people move to a new house or change their contact details. For example, The Royal Mail receives up to 5,000 changes to individual address records every day.
Data can also contain errors when it’s input incorrectly, for example, with spelling or formatting mistakes. These are all examples of dirty data.
Data cleaning or cleansing is vital for any organisation that holds data. Data is a valuable asset and in order to make the most of it organisations need to make sure it is accurate. Unclean data, or data that contains errors, can cost a business time and money. For example, sending marketing material to an old postal or email address is a waste of resources. Sending marketing communications multiple times to the same customer, or to a customer who has passed away, can damage an organisation’s reputation and cost it business.
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