Developed to improve your efficiency
Forget the slow, error-prone email exchanges, spreadsheets and legacy systems that can see operations teams spending up to 50% of their time manually retrieving and reconciling data.
Developed for use on the Symphony platform and using ipushpull technology, FOW’s TaDa chatbot helps you improve efficiency and better resolve post-trade risk, clearing, settlement and regulatory reporting issues.
See the FOW TaDa Chatbot in action during our recent webinar with Symphony.
Trusted data – on demand and in your workflow
TaDa enables users on Symphony to retrieve FOW’s trusted reference data in real-time, add it to any Symphony chatroom and respond directly to clients – all without leaving their workflow.
This removes the need to collate data across disparate systems, saving time and reducing the risk of human errors.
Instant access to high-quality reference data including:
- Symbology
- Corporate Actions
- Calendar Dates
- Contract Specifications
- Historical Transaction Reporting
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Trusted dataAccess to the highest quality futures and options reference data from 110+ global derivatives exchanges.
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Deployed on SymphonyTaDa allows you to access and share data seamlessly to achieve quick gains without leaving your workflow.
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Immediate gainsSet-up is immediate and implementation and running costs are minimal.
7-day free trial
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Insights
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ArticleIn today's fast-paced financial industry, time is money. Operations teams spend a significant amount of time manually retrieving and reconciling data, which can be both tedious and error-prone. To address these challenges, ETD has developed the TaDa chatbot on the Symphony platform. In this blog, we look at the many efficiencies chatbots are bringing to financial services businesses and how, by connecting ETD’s reference market data to them, they’re a game-changer for staff.
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ArticleThe trading life cycle is often plagued by siloed and fragmented data and a heavy reliance on human communication...
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WebinarForget the slow, error-prone email exchanges, spreadsheets and legacy systems that can see operations teams spending up to 50% of their time manually retrieving and reconciling data across disparate systems.