Datanomic
From Wikipedia, the free encyclopedia
Datanomic is a software engineering company based in Cambridge.
Datanomic's specialty is data quality management. Its software is employed to understand, improve, protect and control data quality; this in turn facilitates data integration, Master Data Management (MDM), Customer Data Integration (CDI) and data migration initiatives as well as providing a data quality firewall for customer relationship management (CRM) and other systems.
In 2006, Datanomic acquired Tranato and integrated its Phrase Profiling and parsing technology with Datanomic's data profiling, data auditing, data cleansing and data matching technology to create a software suite called dn:Director.
Datanomic's software has been used by Barclaycard, Deutsche Bank, BellSouth and other major corporation to support anti-money laundering efforts, screen for illegal or barred entities, and other financial and data security efforts.
Datanomic specialises in non-customer name and address data, providing a framework to develop custom rules for specialist applications such as engineering, which the software was originally developed for.
[edit] External links
- Datanomic website
- "The most flexible single DQ tool on the market today." Database Marketing Magazine, December 2007
- BT Improves Health of Data with Datanomic - DM Review
- Barclaycard clears Datanomic to help meet regulatory deadlines
- Bloor Research product evaluation of dn:Director
- Skandia UK selects Datanomic's Watch & PEP List Management solution
- Datanomic partnership with OpenCloud
- Datanomic Survey reveals insight into state of UK Data Quality
- On The Radar by Macehitar Ward-Dutton
- Silicon Fen Business Report
- "Ten Things You Should Know About Compliance" - Financial Services article by Steve Tuck of Datanomic
- Butler Group has no hesitation in recommending a closer examination of dn:Director
- Datanomic Unveils New Strategic Client Screening Division
- World-Check and Datanomic to provide an integrated client screening solution
- The Importance of Data Quality

