Watch Banking Analytics and Premium
Understand and benchmark your correspondent banking business
Watch Banking Analytics and Premium
Banking Analytics & Banking Analytics Premium offer comprehensive insights and analytics into your Swift transactions, providing powerful tools for in-depth analysis of payment, trade finance, and fx messages. Discover top correspondents, evaluate market performance efficiently, track the activity share, and enhance your data-driven decision-making process. Leverage the most of the available dynamic reports and dashboards, with optional API access for seamless integration.
Benefits
Features
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Powerful analysis and reporting
With Watch, you benefit from the powerful Watch Analytics online analysis and reporting tool. Use the Watch wizard drag and drop interface to query the data through multiple dimensions, select and organise the results and produce highly tailored reports.
There’s also a library of graphical views, including graphs, charts and a world-wide footprint of geographical distribution, which can be tailored by filtering your data.
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Benchmarking capabilities
Compare your performance against the Swift community and understand your competitiveness by knowing your activity share and ranking. Even if you aren’t active in certain corridors, aggregated Swift totals will help you to identify potential new business opportunities.
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Update and share your results
Once you have the results you need, you can export them to Excel or other applications for further processing or integration into your existing analysis environment.
It’s easy to update and share reports, templates and graphical views ready for presentations and management reporting.
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Secure, reliable, neutral data
The Watch platform provides secure, online access to unique, factual and neutral data and powerful analysis. There is no software to install on your systems, making it quick and easy to get up and running.
Your unique Swift message volume data is held securely on our servers and only available to you via secure access.Swift total volumes are aggregated and anonymous.