July 2007 Back to Newsflow Summary

 
 
Antenova   Antenova Chief Scientist Made Honorary Professor
 
Datanomic   .Gartner Magic Quadrant for Data Quality Tools
 
 
Antenova: Antenova Chief Scientist Made Honorary Professor. 31 July 2007
 

Antenova, the integrated antenna solutions company, announced Simon Kingsley, Chief Scientist and Technology Co-inventor, was made an Honorary Professor of Antenna Systems at Sheffield University in recognition of his commitment to the University and contributions in the field of antenna research and development. And in 2006, Prof Kingsley was appointed as an Honorary Professor in the Centre for Wireless Monitoring and Applications at Griffith University in Brisbane, Australia. Prof Kingsley has been actively involved in many research programmes and has had a number of successful PhD students.

As Chief Scientist and co-inventor of Antenova's patented High Dielectric Antenna (HDA®), Prof Kingsley has overall responsibility for determining and carrying out research activities at Antenova. He has academic qualifications in Physics, Radio Astronomy and Space Physics and a lifetime of research into radar and antennas, including 4 years at GEC Marconi Research Centre developing over-the-horizon radar systems. He is the author of many technical journal publications, conference publications and presentation, patents and major technical reports. He is the co-author of a textbook on radar and has been an international radar expert and consultant. In 1997 he was an IET Faraday lecturer and toured Britain with a road show aimed at attracting young people in Engineering. He is a Fellow of the Institution of Engineering and Technology, a Member of the Institution of Electrical and Electronics Engineering and a Fellow of the Royal Astronomical Society.

For more information please visit http://www.antenova.com
Datanomic. Gartner Magic Quadrant for Data Quality Tools. 16 July 2007
 

Datanomic, a leading provider of Data integrity solutions, today announced it has been positioned by Gartner, Inc. within its 'Magic Quadrant for Data Quality Tools, 2007' report.

According to the report, "Organizations in all industries worldwide now have a good awareness of the general costs and risks of poor-quality data. Many are taking action to measure, improve and monitor the state of their data quality and, as such, the market for data quality tools continues to see growth and innovation."

"Data is the most valuable non-monetary asset an organisation owns. Each evolution of business systems has suffered as a direct result of disparate data silos," said Jonathan Pell, CEO of Datanomic Ltd. "By managing data as a strategic resource through a combination of best practice and industry leading solutions, Datanomic helps organisations maximise both the value and utility of their data assets. dn:Director is regarded as 'a comprehensive platform, built on modern technology, with an attractive user interface' which enables users to bring together data from disparate systems to create a complete, coherent and future-proofed picture of existing quality information in a fully integrated, fully configured environment. This creates data that is actually fit for business purpose, enabling business decisions to be based on accurate, timely data with the added assurance of repeatable compliance where necessary, in line with growing legislative requirements."

Traditional approaches to data quality have treated profiling, analysis, cleansing and matching as separate and siloed applications, resulting in data quality that is cumbersome, potentially slow and difficult to understand. dn:Director empowers organisations (guided by Datanomic's flexible methodology) to easily combine data quality functions, seamlessly and in any order, to provide an end-to-end process that best fits their business. Datanomic customers also benefit from ready-made templates that tackle challenges that many businesses share such as creating a single customer view. Templates can be used "as is" or combined and tailored to meet the businesses requirements. This ensures organisations can approach data quality issues both holistically and pragmatically.

For more information please visit http://www.datanomic.com
 
 

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