Data Matching and Data Consolidation
Intelligent duplicate detection and fault-tolerant
searching
Many organisations that work with substantial databases have
difficulties with uniform and accurate recognition of data; they
have a data matching problem. Incorrectly spelled names, wrong
gender indications, different ways of writing a date, abbreviations
or acronyms that cannot be converted to full names, and incomplete
or incorrect address details are examples of common errors in large
databases. Through intelligent data matching, HIquality Identify
prevents this data contamination and ensures that your databases do
not have any incorrect data or duplicates. HIquality Identify
offers several data matching functions:
Data matching - Search:
Find what you look for, also when names are misspelled.
Data matching - Entry checks:
At entry HIquality Identify checks if the contact already
exists, preventing your users entering duplicate contacts.
Data matching - File comparison:
On importing data into your own files or databases the entered
data are compared with the existing data. This is often used to
check against a list of suspects, or when different files need to
be merged into one central file.
Data matching - Deduplication:
Prevent one contact occurring several times in your existing
relationship database.
Merge -Consolidate duplicates:
If you want to build up a healthy database, it is essential to
remove data that occur twice - duplicates. HIquality Merge
automates the merging process of duplicates on the basis of
business-specific standards and pre-set algorithms, whileat the
same time making sure that no important information is lost during
this process.