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Internet data capture and improved PEP screening for dn:Director

Datanomic : 17 July, 2008  (New Product)
Release 7.0 of dn:Director gains broader range of data quality solutions covering areas such as PEP screening for anti-fraud applications
Datanomic has announced the availability of dn:Director 7.0, the industry's most flexible and complete data quality application. dn:Director 7.0 provides a powerful unified, data agnostic, data quality application that delivers the full range of data quality functionality in a single integrated platform. New features include the capability to construct, test and publish new data quality processors, enabling Datanomic and its growing customer and partner community to develop easily packaged and reusable solutions to specific data quality problems occurring in any type of data.

Until now, there have only been two basic approaches to data quality: a toolkit approach which requires comprehensive design and development input; or a packaged solution which provides pre-built but generic functionality. dn:Director 7.0 brings together the best of both worlds, providing the business with a powerful, flexible, easy to use data agnostic data quality solution. Users now have the ability to take component templates from pre-packaged solutions that contain complex configuration, and easily tailor them to meet the specific requirements of their own data using a rich toolkit and data-led methodology. All processes can be tailored to the individual requirements of an organisation's own data and business rules using dn:Director's interactive learning environment. As a result, organisations can deliver value on data quality projects with unparalleled speed, and maximise the performance of their data assets.

Datanomic has used this capability to develop Extension Packs that provide an advanced starting point for specific uses and application areas. Extension Packs are currently available for Siebel CRM, Sanctions & PEP Screening, Customer Data Quality, and Basel II compliance.

Sarah Burnett, Senior Research Analyst at Butler Group commented, "Datanomic benefits from a company culture that encourages innovation with usability high up on its product design agenda. Furthermore, the data quality marketplace has seen much consolidation in recent years. Consolidation generally leads to the need to merge products and technologies, which then take time to fully integrate. In this market, Datanomic benefits from an already unified solution and has the potential to carve out a leading position for itself in terms of its product. That will no doubt help it improve its market share; which with a list of prominent customers is already impressive for a young company."

Other new features in dn:Director 7.0 include:.

* New Job Manager allowing control of parallel and serial execution.

* Multi-process streaming for optimal performance in complex jobs.

* New Issue Manager improves collaborative working.

* New Reference Data Editor improves Reference Data Management.

* Extended support for externally managed Reference Data.

* Built-in download capability to capture data from the internet.

* Added processors for working with Dates.

Dr Jonathan Pell, CEO of Datanomic added, "Our approach to data quality enables any organisation to understand their data issues, and clean, manage and maintain a level of data quality that ensures data is fit for business purpose. dn:Director 7.0 is aimed at organisations looking to capitalise on their data assets and take control of their data by directly addressing data quality. The new release continues to give users full control over their data quality processes, and now also allows the growing user community to develop new solutions in the same way that we do."

Available immediately, dn:Director 7.0 is a multi-threaded client server application that can be deployed on a range of architectures, from single processor Windows or Linux machines, through to multi-processor UNIX servers. dn:Director also provides the ability to create data quality processes as Web Services, simplifying the deployment of data quality processes in Service Oriented Architecture (SOA) environments. In addition to its industry accolades and awards, Datanomic is rapidly becoming recognised as the de-facto data quality technology of choice for information-intensive projects, processes and applications.
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