According to a recent Refinitiv study, quants and data scientists spend a staggering 40% to 80% of their average day gathering, cleansing, and normalizing data from disparate sources.

In this session, learn how LSEG is partnering with Snowflake to streamline the quant workflow, addressing in particular two key requirements for any analysis that uses historical data: access to Point-in-Time data and accurate data mapping. See firsthand how QA over Snowflake can better empower quants to build machine learning or traditional statistical models.

Featured listing: LSEG Quantitative Analytics Database

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