Capable of supporting complex enterprise data quality needs
Easy-to-use UI makes quick work of common data cleansing tasks
Clean, Parse, Match, Standardise, Verify and Correct all in one run
Matching and Address Verification logic built for UK data
Did you know?… With matchit Desktop you can suppress records for people who have moved or died!
In today’s big data world there’s never been more data to work with – nor have the insights from the data more needed. Unfortunately, much of this data can be extremely hard to work with, especially if it’s been entered by hand or comes from different systems. Data that’s entered by different people, even in different countries, using different standards typically requires expertise that is in short supply within your organisation.
The simple task of figuring out “who’s who” in a database, spreadsheet or CRM can feel like a herculean, time-consuming task.
Single file, two file, or multiple file processing. Files in different file formats and in different locations? No problem! Deduplication, merge/purge and suppression is made easy by matchit Desktop’s wizards!
Verify your data against the Royal Mail Postal Address File to correct, clean, parse and standardise your addresses. Add Delivery Point Suffixes (DPS codes) to maximise Mailsort discounts.
Want to know where your customer moved to? Integrated NCOA processing allows you to update your data with Royal Mail redirection new addresses for individuals and families that have moved.
Load and output all common file types such as Excel, CSV, Tab delimited etc. and even older formats like Access and DBF – or connect your data using Open Database Connectivity (ODBC) to work directly with SQL Server, Oracle, DB2 and MySQL.
Create composite records with matchit Desktop’s intelligent data merge function. It transfers data missing in one record but present in another for duplicate records or matching records in different files, so that you do not lose any information.
No preprocessing needed! matchit Desktop will parse freeform names into their parts and relocate data that is in the wrong field e.g. company names, job titles, postcodes that are floating in the address lines. It will also case your data intelligently.