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This research explores how investment management firms are using data analytics technologies to inform and streamline investment processes. It covers how firms can best organize to support data analytics, the role IT and data management play, and the skill sets and tools that can help.

This research explores how investment management firms are using data analytics technologies to inform and streamline investment processes. It covers how firms can best organize to support data analytics, the role IT and data management play, and the skill sets and tools that can help.

We include an overview of the technologies that are in use and available that support data science and analytics, including overviews of solutions from the following vendors: 1010data, Alteryx, AnswerRocket, Amazon SageMaker, Azure Synapse Analytics, Bloomberg BQuant, Databricks, Dataiku, Datameer, DataRobot, Denodo, FactSet, Google Cloud Platform, Jupyter, KNIME, MemSQL, MLflow, Power BI, Qlik, RapidMiner, Refinitiv, S&P Global Market Intelligence, SAS, Snowflake, Tableau Software, and Zepl.

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