The panel
- Stefan Schlamp, Head of quantitative trading analytics, Deutsche Boerse
- Trey Berre, Managing director and global head, CME Data Services, CME Group
- Kent Peterson, Head of quant, Atitlan Asset Management
- Moderator: Victor Anderson, Global content director, WatersTechnology
Firms on both sides of the industry have never had it better when it comes to the variety of datasets available to them, either from individual data vendors or through exchange partnerships (such as the recent Deutsche Börse-CME Group alliance). However, having access to high-quality data does not always mean users can derive value from it. This is where data analytics tools come to the fore: not only do they allow firms to identify hidden ‘signals’ within large, complex datasets, but support them in making the most accurate, repeatable and transparent trading decisions. They change the focus from what trading decisions were made to why they were made.
Viewers joining the webinar will gain insight into:
- Tangible business and trading benefits users can reasonably expect on the back of deploying advanced data analytics tools
- How data partnerships benefit the market in general by providing access to an ever-broadening array of high-quality data through a single interface
- How firms should evaluate data analytics tools as well as the prerequisites they should look for in terms of delivery, time to market and functionality.
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