MUFG信託銀行、スノーフレイク・データ・プラットフォームを拡張

スノーフレーク announced that 三菱UFJ信託銀行株式会社 そして The Master Trust Bank of Japan, Ltd. are moving forward with preparations to build a new Data Management Service platform using Snowflake infrastructure. The work is being done together with institutional investors as part of a broader push inside Mitsubishi UFJ Financial Group (MUFG) to improve financial data utilization and modernize asset management operations.

The main issue they are trying to solve is complexity. Financial data management has become harder as datasets grow larger and more fragmented. Asset managers now deal with financial data, ESG information, market statistics, alternative datasets, and proprietary investment information all at the same time. Managing all of that across different systems creates operational overhead and slows analysis.

The new DMS platform is meant to centralize those processes. Mitsubishi UFJ Trust and Banking and The Master Trust Bank of Japan are building it using experience gained through years of asset management operations and IT management. The idea is to create a system that helps institutional investors manage data more efficiently while also improving analysis and investment decision making.

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Snowflake was selected partly because many financial institutions and service providers already use it, especially for secure cross organizational data sharing. By using Snowflake Marketplace, the companies say users will be able to combine multiple datasets on one platform without heavy ETL processing or large scale data migration work.

The companies also expect operational gains from the setup. Compared with traditional public cloud approaches, the initial build period is expected to drop by around 50 percent. Usage fees are projected to fall by roughly 85 percent through a pay as you go structure. They also expect faster onboarding and expansion for new customers, with preparation time reduced by around 30 percent.

The platform itself will include automated data collection, integrated warehouse management, flexible data usage through standard interfaces, and operational monitoring functions such as quality checks and processing management.

The target launch is December 2026. Over time, the companies also plan to add AI driven capabilities to support more advanced asset management workflows and faster decision making.