Arcesium’s highly configurable enterprise and reference data solutions are engineered to help you master, integrate, and scale data across regions, currencies, and asset classes. Used independently or coupled together, our Financial Data Stack is designed to enable you to achieve differentiated business outcomes.
Financial Data Stack is designed to capture, clean, logically organize, and distribute foundational data from a single source of truth, allowing you to make vital business decisions with confidence.
With tools for mastering, storing, and distributing investment reference and transactional data, Financial Data Stack intelligently supports the broadest array of asset classes, across any region and currency, at unparalleled volumes.
Our Financial Data Stack architecture extends across your front, middle, and back office, giving you confidence in your data and allowing you to focus on deepening your client relationships.
Master securities, price, positions, and corporate actions data for investment operations by aggregating, cleansing, and organizing referential data from multiple systems and sources.
Support any asset class in real time through our robust APIs, searchable user interface, and via mechanisms such as Snowflake Data Share.
Benefit from an automated system that identifies, flags, and resolves data anomalies by performing thousands of tests, highlighting exceptions for review, and providing additional context to support resolution.
Swiftly analyze live and historical referential data for issue resolution, operational and data workflows, and internal reporting.
Self-configure data sources and build reusable templates to seamlessly generate reporting. Dynamic Document Studio empowers you to standardize and scale report production and distribution without developer resources.
Financial Data Stack’s cloud-based technology is designed to create a centralized hub for mastering, distributing, and warehousing your reference data – helping you manage risk and generate alpha more efficiently and effectively.
Support any asset class in real time through our robust APIs, searchable user interface, and via mechanisms such as Snowflake Data Share.
Benefit from an automated system that identifies, flags, and resolves data anomalies by performing thousands of tests, highlighting exceptions for review, and providing additional context to support resolution.
Master securities, price, positions, and corporate actions data for investment operations by aggregating, cleansing, and organizing referential data from multiple systems and sources.
Swiftly analyze live and historical referential data for issue resolution, operational and data workflows, and internal reporting.
Leverage Dynamic Document Studio's near zero-touch data sourcing and self-customization capabilities to standardize and scale reporting needs. Automate generation and distribution for a variety of client, regulatory, and management documents, including Schedule K-1 and fund performance communication.
Our suite of customizable solutions is built to provide private markets investors with a robust reference data management foundation. Whether acting as your central golden source of referential datasets or as a downstream aggregator to organize information from multiple sources for a uniform view, Financial Data Stack is designed to power your business processes and firm growth.
Leverage two-way integration with administrators and point solutions, including CRM, portfolio monitoring, accounting, and treasury systems.
In addition to our solution’s pre-built data model, you also have the flexibility to configure new data points in a low-touch manner.
Benefit from an automated system that identifies, flags, and helps resolve data anomalies by performing countless tests, highlighting exceptions for review, and providing additional context to support resolution.
By using open API architecture, our solutions easily distribute clean, golden copies of referential data to your upstream or downstream systems.
Leverage Dynamic Document Studio's near zero-touch data sourcing and self-customization capabilities to standardize and scale reporting needs. Apply rich formatting on reusable templates to generate a variety of client, regulatory, and management documents, including LP letter, capital notices, and underlying asset exposure analyses.
Our suite of rapidly deployable technology products are engineered to capture, clean, organize, and distribute your foundational data. Our data model is designed to support your clients’ unique needs.
Support any asset class in real time through our robust APIs, searchable user interface, and via mechanisms such as Snowflake Data Share.
Benefit from an automated system that identifies, flags, and resolves data anomalies by performing thousands of tests, highlighting exceptions for review, and providing additional context to support resolution.
Master securities and issuers, transactions, corporate actions, positions, and price data for investment operations by aggregating, cleansing, and organizing referential data from multiple systems and sources.
Swiftly analyze live and historical referential data for trend analysis, historical back testing, and external and internal reporting.
Leverage Dynamic Document Studio's near zero-touch data sourcing and self-customization capabilities to standardize and scale reporting needs. Apply rich formatting on reusable templates to auto generate a variety of client, regulatory, and management documents, including financial statements and fund performance communication.
The ability to scale your operations and access data in real-time helps you mitigate risk and fulfill compliance requirements and fiduciary duties. Cloud-native and proven at scale, Arcesium Financial Data Stack is developed to easily connect to both internal and external technology systems to communicate accurate data across your entire ecosystem.
Support any asset class in real time through our robust APIs, searchable user interface, and via mechanisms such as Snowflake Data Share.
Benefit from an automated system that identifies, flags, and resolves data anomalies by performing thousands of tests, highlighting exceptions for review, and providing additional context to support resolution.
Master securities and issuers, transactions, corporate actions, positions, and price data for investment operations by aggregating, cleansing, and organizing referential data from multiple systems and sources.
Swiftly analyze live and historical referential data for trend analysis, historical back testing, and external and internal reporting.
The ability to scale your operations and access data in real-time helps you mitigate risk and fulfill compliance requirements and fiduciary duties. Cloud-native and proven at scale, Arcesium Data Platform is developed to easily connect to both internal and external technology systems to communicate accurate data across your entire ecosystem.
Highly configurable tools are easily integrated with each other and with external systems to create a single source of truth.
Modules are tailored to your unique needs quickly and easily via pre-built adaptors for seamless on-boarding.
Seamless data access, supplemented with visualization tools, allow you to view and analyze your information with a fresh perspective.
Leverage pre-built adaptors to major third party market data sources at the firm or portfolio level to support complex valuation policies.
Access a single source of truth throughout all your systems, scalable to tens of millions of data points, in real time.
