Advanced Matching Module
Identify and understand the relationships between data records to enhance business processes and increase customer satisfaction.
Consolidate Data Records to Improve Communications
Marketing and business processes rely on accurate data. Equally important is the ability to identify and understand the relationships between records. Recognising customers, products, duplicates and households across data sources is critical for success.
The Advanced Matching Module, part of our Spectrum Technology Platform, offers unrivaled matching capabilities. So you can consolidate records, eliminate redundant activities and improve communications with customers around the world.
Sophisticated Name and Address Matching
Identify matches using sophisticated algorithms that engage in complex consumer address issues, including apartment numbers and resident occupants, with options to match on either a household or individual basis.
Key components include:
- Interflow match: Identifies matches between similar records across multiple input files.
- Intraflow match: Identifies matches between similar records within multiple input files.
- Filter: Specify criteria that duplicate records must satisfy to be retained or removed.
- Match key generator: Creates a non-unique key shared by like-records, so they can be grouped together for comparison.
- Candidate finder: Obtains the candidate records that will form the set of potential matches to be evaluated using Transactional Match.
- Transactional match: Matches suspect transactions against a database to query and return potential candidate records.
- Best-of-breed: Selects a best-of-breed record from the duplicates cluster by selecting a primary/template record. Uses this record to build a best composite record, which is returned as the survivor record.
- Duplicate synchronisation: Specify which fields from a collection of records will be copied (posted) to the corresponding fields of all records in the collection.
For a better understanding of your customer and improved enterprise data quality, contact us today.
NOTICE: Because we offer many custom solutions, it is our policy not to post pricing on our website. Please contact our knowledgeable staff to select and price products that fit your organisation's budget, number of users, IT environment, data requirements, support and training needs. We apologise for any inconvenience.
Robust Features and Data Matching Capabilities
The Advanced Matching Module for the Spectrum Technology Platform matches records between and within any number of input files, giving you a powerful rules-based engine to identify unique products, unique locations and unique customers. Users have complete control to define criteria and can match on any data. Or, select from pre-defined rules and best practices in areas such as name-address matching, householding and firm matching.
Flexible Matching Options
The Advanced Matching Module lets you to determine the most appropriate match level. You can combine deterministic algorithms with probabilistic rules to help eliminate false positives – giving you the confidence to merge and consolidate records based on your business needs.
Access an International Knowledge Base
Compares records against referential data that includes millions of name variations across 110 cultures. Considers different spellings and nicknames based on country of origin (e.g. Michael, Mikhail, Mykolas) to identify duplicates.
Best-of-Breed Consolidation
Provides the highest degree of flexibility and control in determining how to link or merge matched records, so you can create the most accurate and complete record from any collection of customer, product or entity information.
Full Range of Business Applications
Deploys in real time or runs in batch mode. Can identify matches or suppress duplicates. Ability to set up sample runs makes it easy to validate rules and criteria before you execute an entire job.
Support
- Sign in to the Advanced Matching Module support area for downloads, licensing and documentation
- Contact Support
- Training
