BNY Mellon reveals new data and analytics solutions
25 June 2020 New York
Image: PopTika/Shutterstock
BNY Mellon has launched three new data and analytics solutions aimed at improving investment management.
The offerings are designed to enhance data management, improve the success of US-listed fund launches, and support the customisation of investment portfolios to cover environmental, social, and governance (ESG) factors.
The new solutions will be built on Microsoft Azure as part of BNY Mellon’s partnership with Microsoft over digital strategy to provide data, technology, and content solutions.
Data Vault is a cloud-based data and analytics platform that will facilitate efficient data onboarding as part of a machine learning (ML) approach to data quality.
Distribution Analytics also implements ML to allow asset managers to consolidate predictive market demand drivers and sales momentum for both mutual and exchange-traded funds.
ESG Data Analytics utilises artificial intelligence to customise investment portfolios to include distinctive ESG preferences.
Roman Regelman, senior executive vice president and head of asset servicing and digital at BNY Mellon, commented: “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. 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.”
Judson Althoff, executive vice president of Microsoft’s Worldwide Commercial Business, added: “We are pleased to collaborate with BNY Mellon on innovative cloud-based solutions built on Microsoft Azure to help their clients create alpha-generating opportunities and manage assets.”
He continued: “The scope and scale of BNY Mellon’s investment data, coupled with our portfolio of Azure products and services, will lead to solutions that enhance data as an asset and optimise accessibility of information for investment managers.”
The offerings are designed to enhance data management, improve the success of US-listed fund launches, and support the customisation of investment portfolios to cover environmental, social, and governance (ESG) factors.
The new solutions will be built on Microsoft Azure as part of BNY Mellon’s partnership with Microsoft over digital strategy to provide data, technology, and content solutions.
Data Vault is a cloud-based data and analytics platform that will facilitate efficient data onboarding as part of a machine learning (ML) approach to data quality.
Distribution Analytics also implements ML to allow asset managers to consolidate predictive market demand drivers and sales momentum for both mutual and exchange-traded funds.
ESG Data Analytics utilises artificial intelligence to customise investment portfolios to include distinctive ESG preferences.
Roman Regelman, senior executive vice president and head of asset servicing and digital at BNY Mellon, commented: “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. 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.”
Judson Althoff, executive vice president of Microsoft’s Worldwide Commercial Business, added: “We are pleased to collaborate with BNY Mellon on innovative cloud-based solutions built on Microsoft Azure to help their clients create alpha-generating opportunities and manage assets.”
He continued: “The scope and scale of BNY Mellon’s investment data, coupled with our portfolio of Azure products and services, will lead to solutions that enhance data as an asset and optimise accessibility of information for investment managers.”
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