BNY Mellon launches new data and analytics solutions
June 25, 2020

The Bank of New York Mellon Corporation has today announced the launch of three new Data and Analytics Solutions offerings designed to help investment managers better manage their data, improve the success of US-listed fund launches and support the customization of investment portfolios to preferred Environmental, Social, and Governance (ESG) factors.

Additionally, as part of its digital strategy to collaborate with external partners, BNY Mellon has expanded its relationship with Microsoft to create data, technology and content solutions for investment managers built on Microsoft Azure.

"Our clients want and need more flexibility in their cloud-based data solutions so they can remain agile to evolving market, client and regulatory changes," said Roman Regelman, Senior Executive Vice President and Head of Asset Servicing and Digital, BNY Mellon.

"Data Vault, Distribution Analytics and ESG Data Analytics were developed to help investment managers better manage and unlock value from their data. Further, our expanded relationship with Microsoft underscores our open culture of partnering with leading technology providers to collaborate on data solutions that address client investment needs."

Data Vault is a cloud-based data and analytics platform that supports the rapid onboarding of data to provide greater flexibility and accelerate client innovation and discovery. BNY Mellon says that combining this with a scalable, machine-learning approach to data quality, users can more quickly and easily interact with data to gain actionable insights.

Distribution Analytics takes advantage of machine learning to help asset managers better understand predictive market demand drivers and sales momentum for mutual funds and exchange traded funds in the US so they can gauge how to successfully gain market share.

ESG Data Analytics uses artificial intelligence to customize investment portfolios to individual ESG preferences with support from crowdsourced ESG data and demonstrability screens.





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The Bank of New York Mellon Corporation has today announced the launch of three new Data and Analytics Solutions offerings designed to help investment managers better manage their data, improve the success of US-listed fund launches and support the customization of investment portfolios to preferred Environmental, Social, and Governance (ESG) factors.

Additionally, as part of its digital strategy to collaborate with external partners, BNY Mellon has expanded its relationship with Microsoft to create data, technology and content solutions for investment managers built on Microsoft Azure.

"Our clients want and need more flexibility in their cloud-based data solutions so they can remain agile to evolving market, client and regulatory changes," said Roman Regelman, Senior Executive Vice President and Head of Asset Servicing and Digital, BNY Mellon.

"Data Vault, Distribution Analytics and ESG Data Analytics were developed to help investment managers better manage and unlock value from their data. Further, our expanded relationship with Microsoft underscores our open culture of partnering with leading technology providers to collaborate on data solutions that address client investment needs."

Data Vault is a cloud-based data and analytics platform that supports the rapid onboarding of data to provide greater flexibility and accelerate client innovation and discovery. BNY Mellon says that combining this with a scalable, machine-learning approach to data quality, users can more quickly and easily interact with data to gain actionable insights.

Distribution Analytics takes advantage of machine learning to help asset managers better understand predictive market demand drivers and sales momentum for mutual funds and exchange traded funds in the US so they can gauge how to successfully gain market share.

ESG Data Analytics uses artificial intelligence to customize investment portfolios to individual ESG preferences with support from crowdsourced ESG data and demonstrability screens.



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