The London Stock Exchange Group's Quantitative Analytics (LSEG QA) provides access to a huge range of content ready to use 'out of the box' for quantitative analysis, together with the tools to integrate proprietary data. This gives you direct access to our best-of-breed content - as well as from other leading vendors, including S&P, MSCI, and Russell - without the pain.

Freed from the burden of preparing data, quants can spend more time developing and testing differentiated ideas, optimizing portfolios, and managing risk.

With Quantitative Analytics now available in the cloud, asset managers can avoid capital lock-in, eliminate database administration, and get access to the data for new quant initiatives fast.

LSEG QA is an enterprise class data management solution for integration with third party applications and direct distribution to proprietary front ends. LSEG QA provides a powerful, scalable platform to manage, maintain, and integrate research and investment data. Users can benefit from the advanced database structure, content offerings and efficient implementation.  LSEG QA offers:

• One normalized database with comprehensive, timely and accurate cross asset content offering the deepest history, robustness, and data availability
• Data mapping from all data vendors and client’s own proprietary data into a single, unique identifier to provide transparency into data and flexibility for accurate and sophisticated analysis
• Integration with other commercial, statistical and portfolio optimization software packages and databases
• Advanced database structure utilizing Microsoft SQL Server or Oracle with fully documented database schema and diagrams
• Automatic data updates intraday to client’s server

LSEG QA deployment methods:
• Deployed (On Premise) - Supported on Microsoft SQL or Oracle
• Deployed (VM Hosted) - via provider of choice (AWS, Century Link, Microsoft Azure) With Deployed (VM Hosted) , asset managers and hedge funds can avoid capital lock-in, eliminate database administration, and get access to data for new quant initiatives fast. In fact, Refinitiv Quantitative Analytics can be provisioned in the cloud in a matter of days, and Refinitiv manages the Refinitiv Quantitative Analytics database and updating of content 24/7.
• Cloud (Azure) - via Refinitiv and Microsoft Azure
• Snowflake: All content fully integrated into Snowflake and shared with clients via Snowflake’s secured share capability. This content is replicated across multiple cloud providers and regions, and consumer access is primarily provided via Snowflake data share.

Flexible access Refinitiv Quantitative Analytics can be easily linked to statistical and portfolio optimization software, such as R and MATLAB. ODBC compatibility allows for easy links to statistical packages and modern programming languages such as Python and C#.

For more information, don't hesitate to navigate through this Developer Portal via the tabs above, or to look deeper into the QA product on myaccount.