mCorrection delivers an intelligent solution for several common but technically challenging business problems related to large database systems and poor data quality. For example: matching, merging and integrating multiple databases or registers; acquisition of new information systems; and data entry from multiple sources into a single database. All of these can cause situations where standard data quality tools and matching techniques do not deliver sufficient performance.

mCorrection is an easy-to-deploy, customisable Java-based software solution for solving complex data cleansing and quality problems related to inexact, erroneous and duplicate database records and registers. mCorrection is based on efficient memory-resident indexing of data and groundbreaking character set independent fuzzy matching algorithms optimised for large data sets and high query throughputs. Furthermore, it has an advanced data clustering capability, which provide for very fast discovery of duplicates in a data set.

mCorrection is targeted at the most challenging data matching environments, with large data sets, high query volumes and highest requirements for accuracy, reliability and integration. For example:

• Data quality technology, service and systems vendors and integrators
• Entities with large internal data quality, integration and ETL processes and projects
• Directory and marketing companies providing register update and enhancement services.

The software is available in two delivery options: an embeddable SDK and a server solution. Both versions are simple to install and utilise.

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