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Financial software firm Norkom sees 38% increase in sales |
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June 12, 2007 - The Post
 Financial software company Norkom has credited a strong sales performance for a 38% increase in revenues to €25m for the year ending March 31. After-tax profit was €3.5m, up from €2m last year.
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Financial software firm Norkom sees 38% increase in sales |
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June 12, 2007 - Irish Examiner
 Financial software company Norkom has credited a strong sales performance for a 38% increase in revenues to €25m for the year ending March 31. After-tax profit was €3.5m, up from €2m last year.
These are Norkom's first results since its ISEQ listing in June last year. Norkom said today that it had added 17 new clients during the year and secured continued incremental business from its existing client base.
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Norkom profits from fighting crime |
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June 12, 2007 - RTE
 Norkom, which specialises in financial crime and compliance software, has reported pre-tax profits of €3.6m for the year to the end of March, up 84% on the previous year in its first set of results since listing on the stock exchange.
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The Evolving Criminal Threat |
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May 31, 2007 - Money Laundering Bulletin
 New research reveals a strong appetite among international financial institutions for an enterprise wide approach to financial crime, a framework in which risk is managed on a consolidated basis across the group and international criminals are engaged on their own, global turf. Rosemary Turley, Director of Norkom Technologies, discusses the evolving criminal threat which fuels that appetite and highlights the barriers that prevent its satisfaction.
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Risk Management: Due Diligence That Evolves With Clients |
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April 5, 2007 - Bank Technology News
 Fortis has deployed a risk-based customer due diligence system from Norkom that differentiates low risk customers from high risk ones at the point of account opening.
The technology then monitors the entire lifecycle of that customer, continually monitoring a customer's initial security risk assessment in light of additional transactional and behavioral information. Should unusual behavior occur, the product will make system-generated recommendations on changes that should be made. The system takes into consideration a mix of data that includes transaction history and demographic information, such as country of origin.
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