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Overcoming the challenges of information management in manufacturing
The modern manufacturing environment produces a treasure trove of invaluable insight. Throughout your supply chain information is collected 24/7. However, little value is ever extracted from that data. Paper-based systems, poor archive and storage capabilities, and data sharing limitations are to blame.

Without visibility, or the ability to properly manage system data and gain actionable insight, manufacturers regularly struggle to drive efficiencies within their operation and generate competitive advantage.

Download this free ebook to find out how a document management system can eradicate these difficulties and optimise your productivity.
Combating money laundering can be costly, complicated, and prone to error. It requires that organizations perform appropriate due diligence, including screening financial transactions for suspicious activity, and checking customers against global sanctions lists. High risk customers must be monitored with an additional level of scrutiny. If not done or done incorrectly, organizations are left at risk.
Combating money laundering can be costly, complicated, and prone to error. It requires that organizations perform appropriate due diligence, including screening financial transactions for suspicious activity, and checking customers against global sanctions lists. High risk customers must be monitored with an additional level of scrutiny. If not done or done incorrectly, organizations are left at risk.
Combat money laundering and financing of terrorism by monitoring financial transactions for suspicious activity. Track activity across multiple accounts for the same entity, match against imported lists (OFAC, FATF, NCCT, PEP, etc.), and use pre-configured rules to generate alerts required to comply with AML/CFT regulations.

Functionality
  • Structuring – a customer who attempts to hide the size of reportable cash transactions by breaking them into multiple, smaller transactions.
  • Suspicious currency-related transactions.
  • Potential Money Service business activity.
  • Major changes in customer behavior compared to previous patterns.
  • Link analysis to find a group of customers and accounts with suspicious relationships and/or transactions.
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