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Data-first thinking

How trusted data will power digital transformation in your trading business

Download the latest Refinitiv white paper to explore the strategic importance of trusted data in managing digital transformation in your trading business.

Why should financial services firms change their relationship with data?

This white paper explores the strategic role that data now has within trading teams. Today, new ways of engaging with historical tick data are transforming the way trading strategies are built and back-tested. Pricing data is fundamental to successful trade execution and analysis. More and more regulatory compliance relies on high-quality data. And, of course, data is essential for most of the innovation happening within trading teams. 

Access the full report to find out:

  • How trusted data can support better trading strategies, more efficient executions and analysis
  • New methods of managing data volume and complexity
  • Ways to transform regulatory reporting into business intelligence
  • 6 key data trends within trading innovation
  • $8
    cost of processing, storing, and transforming data for every $1 spent on the data
  • 73%
    of traders who believe that execution management system technology will have an impact on the markets over the next 3-5 years.
  • 53%
    of firms say they are using market data in pricing in the cloud already
  • 98%
    firms who are using market data in machine learning

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Firms are using a wide variety of data sets, and they are bringing together data sets for analytics and for AI and ML. They want to work with data sets that are compatible, that can be normalized quickly and easily, that can be safely used together and won’t create errors. Success means a powerful combination of data and workflow that can deliver enhanced efficiency, agility and alpha.

Key content

48%

of firms say identification of incomplete or corrupt records in new data is a challenge

35%

of firms agree that cleaning and normalizing data is a challenge

63%

of data scientists say machine learning is being used at their firms to generate trading investment ideas