- Ensure a clear and accurate view of your contact database
- Reduce costs of database by reducing number of contacts
- Deliver effective digital communication and protect your brand image
- Reduce mailing costs by reaching intended audience
Free From Duplicates Free From Unnecessary Costs. Unclutter Your Database with Data8’s De-duplication Services.
The amount of data in today’s business environment has exponentially grown and it’s become increasingly difficult to manage it. Deduplication services help you identify and merge duplicate records ensuring data quality improvement which in turn helps you save money by greatly reducing storage and outbound communication costs.
Most deduplication services allow for exact match detection only, Data8’s revolutionary system uses fuzzy matching techniques and cleans data even when there is misspelling or errors.
- Robust de-duplication algorithms that go beyond email
- Detects similar matches in addition to exact duplicates
- No technical knowledge or sign up fees
- Move towards a Single Customer View using ‘fuzzy matching’
Our Stop File service is designed to help those who have two lists of customers that need to be matched together or reconciled in some way.
Simply create a stop file with the records in one file, then process the other file against it. This service is great for identifying customers you have identified as being high value or those that you have previously received returned mail from.
You can also take advantage of our powerful data cleansing system with your own custom data files, for example:
- Remove records from a mailing that have requested not to receive them
- Flag high value customers
- Combine data from multiple files when consolidating CRM systems
How a Stop File works
If your stop file contains the following records:
then the following appears as data in your customer database:
this can then be cleansed by this service to:
How de-duplication works
Example of the following data in your customer database:
can be cleansed by this service to:
Each record is assigned a unique ID to identify it.
The Duplicate column indicates that the record is a duplicate of other records, and the Duplicate IDs column lists the IDs of those duplicates. Finally, the Keep Record column indicates if the record should be kept after deduplication (1) or discarded (0). The first record in a set of duplicates is kept, while the others are discarded.