Datanomic Limited

Datanomic has approached the problems of data quality differently. Datanomic designed and developed generic products, not restricted by the type of data they were dealing with, and exploiting new architectures and technologies. This established Datanomic’s uniquely flexible solution that delivers rapid implementation, high throughput performance, scalability and significantly reduced total cost of ownership – all built to support current and future architectures for both data and infrastructure. Audit is the start point for any data quality, data migration or systems integration project. It works across any data and is often used to validate the business case, provide the proof points and quantify the benefits of the overall initiative. Clean ensures data quality within individual systems and provides reconciliation of data across multiple repositories in an enterprise environment. Match addresses the need to match information from one or more business applications or information sources can arise in numerous ways; duplicate customers within product-centric systems, the consolidation of data from multiple systems, M&A activity which results in duplicate systems and information, the migration of data to new systems or the desire to improve the quality of system information by matching against a trusted reference set.