Eliminate duplicate records from your data with matchIT
Data quality is imperative for reliable, integrated and accurate data.
Experian QAS would like to introduce matchIT, a powerful and intuitive de-duplication software. We've partnered with helpIT systems, a leading data tool provider with over 17 years of experience in data quality.
Highly flexible and customisable - matchIT is ideally suited to all companies and organisations dealing with a wide variety of business and consumer data. matchIT is ideal for:
- Enhancing your organisations perception in the market place and overall customer satisfaction
- Data migration projects - merging multiple databases and achieving project objectives
- Improve communications between customers and potential clients
- Increase effectiveness of marketing campaigns
Download your free trial of matchIT software.
The problem with duplicates
Duplicate records can cause a lot of headaches for
your business and for you.
Common issues:
- Organisations are unable to obtain a true and complete view of customers and all their relevant information.
- Businesses migrating databases are unable to accurately identify and remove duplicate records and achieve desired results
- Duplicate messages and communications sent to customers damage credibility.
- Duplicates reduce the effectiveness of marketing campaigns, in turn producing a low ROI.
- Accuracy and reliability of Data Analysis Reports are negatively impacted by the presence of duplicate records
Benefits of accurate de-duplication
The advantages and benefits of using matchIT can be felt everywhere across any organisation.
Using matchIT will:
- Improve the cleanliness and efficiency of your data
- Increase the confidence you have in your data analysis and reporting
- Allow you to obtain a true and complete view of your customer and all their relevant information
- Identify duplicates in any data and reduce the time wasted by manually identifying duplicate records
- Improve overall organisations operational efficiencies by streamlining processes
- Write results back to CRM and marketing databases
- Enable suppression against other datasets
Key features of matchIT software
When choosing a de-duplication tool, you want to be sure that you are selecting an accurate and reliable solution that's versatile yet simple to learn and use.
matchIT's core engine is the matchIT API, considered to be one of the most sophisticated and effective products available anywhere for the detection of matching records within poorly structured data. matchIT's proprietary phonetic algorithm is unrivalled, and allied to other matching techniques and user-customisable lookup tables.
The highly sophisticated matching engine:
- Maximises true matches
- Minimises the manual effort required to review them
- Allows you to merge & purge multiple files of data
- Gives you complete flexibility when choosing your match criteria
- Provides fully customisable reporting
Flexibility - matchIT gives users the ability to search for duplicates using any data they choose. For example you can customise your matches based on fields such as contact name, company name, full address, email address, date of birth, account number - or anything else known about the customer.
Fuzzy Matching - matchIT's algorithms are considered among the most sophisticated available on the market for the detection of phonetic, mis-keyed and abbreviated variations even within poorly structured data. It overcomes human errors to highlight potential matches such as:
Bill Dayton Jr. at EPS and Deighton, William Robert at EPS Australia Pty Ltd
matchIT's advanced technology searches utilise several proprietary "fuzzy matching" algorithms, including:
- Phonetic matching; to match "sounds like" names such as Deighton and Dayton
- Look-up tables to match names such as Bill and William, The Guthrey Group and Guthrey Ltd.
- Acronym and initial matching to match inconsistencies like Bill and W. (e.g. Bill Deighton and Mr. W. Dayton), The Guthrey Group and TGG Inc.
- Non-phonetic fuzzy matching to match keying errors such as transpositions like Wilson and Wislon and reading errors such as Morton and Horton.
- Element matching to match reversed or incomplete names, such as Mr J R Gonzalez, Jose Gonzalez Jr and Gonzalez Jose.
Dealing with the duplicates - During a typical run, each match found is given a "match score" based on the elements you define. These elements allow the user to easily identify and determine whether a true duplicate has been identified. Based on match scores, records can be merged automatically or reviewed manually, depending on your preference. matchIT will identify which record is "best" and should be preserved or combined with data from duplicate records so that no data is lost.
Technical Information
matchIT is available as a standalone solution for Windows.
To request further information click here.
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