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Clavis Technology Named “Cool Vendor” by Leading Analyst Firm


Vendors selected for the “Cool Vendor” report are innovative, impactful and intriguing

Dublin Ireland, April 23, 2010 – Clavis Technology, which develops and markets the leading cloud-based data quality solution for data capture and origination processes, has been included in the list of “Cool Vendors” in the 2010 Cool Vendors in Data Management and Integration* report from leading analyst firm Gartner, Inc.

Clavis Data Steward is a unique data quality solution for easily deploying centrally managed data validation and monitoring rules across widely dispersed data collection forms, applications and processes. The solution is delivered in the cloud as software as a service (SaaS) leveraging the power of the web to enable large organization to get their data right first time, regardless or whether it is collected in house or outside the company firewall.

“We believe Clavis’ inclusion in the Gartner Cool Vendors Report confirms the importance of addressing data quality at the true point of data capture,” said Garry Moroney, CEO of Clavis Technology. “Large organizations no longer control the origination of all of the data that is in key business systems. Much of it is created by trading partners, customers and suppliers. Clavis Data Steward is the first data quality solution that enables companies to deploy the same centralized data quality rules and controls in all data collection processes even when those processes are initiated by trading partners or customers.”

Data quality is always important, but when it comes to collaboration between trading partners the quality of the data takes on an even greater significance. Suppliers such as consumer goods manufacturers need to ensure that data conforms to their customers’ standards and formats - including large retailers - and those standards can vary from customer to customer. To avoid problems down the line suppliers need to ensure that new master data conforms to their trading partners’ quality requirements before it enters the customers’ systems.

Clavis Data Steward enables business users to deploy data validation and monitoring controls within existing or new data collection processes. It combines the advantages of having a single web portal for data capture, with the ease and convenience of keeping your existing data collection forms, applications and processes.

About Gartner’s Cool Vendors Selection Process
Gartner’s listing does not constitute an exhaustive list of vendors in any given technology area, but rather is designed to highlight interesting, new and innovative vendors, products and services. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness of a particular purpose.

Gartner defines a cool vendor as a company that offers technologies or solutions that are: Innovative, enable users to do things they couldn’t do before; Impactful, have, or will have, business impact (not just technology for the sake of technology); Intriguing, have caught Gartner’s interest or curiosity in approximately the past six months.

* Cool Vendors in Data Management and Integration, 2010 Published: 21 April 2010 | 7 pages: Author: Thoo, Eric; Feinberg, Donald; Friedman, Ted; Bitterer, Andreas.

Clavis Technology develops and markets Clavis Data Steward™ the first cloud-based pre-emptive data quality and data quality governance solution. With Clavis organizations can focus on preventing data errors by getting data ‘right first time’ to eliminate the major costs and losses associated with bad data in their core IT and Master Data Management systems. Provided online as Software as a Service the data validation and monitoring solution is easy to use, easy to integrate and universally accessible. It accelerates time-to-results, and offers an affordable, predictable, and scalable subscription-based pricing model to enable more organizations to reap the benefits of data which is “right first time” at point of capture.

For more information:


 Data Quality
 Data capture

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