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Arcesium

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Strengthen your data foundation with our highly configurable SaaS platform, Aquata™, developed to easily integrate with your entire technology ecosystem. Tools to ingest, validate, harmonize, and distribute data empower you to invest resources and time in alpha-generating operations. Robust data modeling capabilities and connectivity to counterparties, administrators, and other service providers are built to help data move fluidly across your organization.

By leveraging Aquata, your firm will be in a stronger position to make more insightful decisions, strengthen reporting and analytics, and simplify operations – from a synchronized foundation. Aquata delivers the tools to elevate collaboration, control, and trust in your data. Expected Workflow: -Customer imports data into their Aquata instance from their Snowflake account using Snowflake Data Share.

-Customer harmonizes imported data with their investment lifecycle data using Aquata's scalable, domain-aware integration and transformation tools. -Customer can egress data back to their Snowflake account using Snowflake Data Share.

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Intelligence Score
19/100
Your Rating
Platforms

1

Domain

arcesium.com

Data Quality SignalsD

Freshness

Single-source

API Status

No API

44Completeness

Compliance (vendor-reported)

SOC 2
ISO 27001
GDPR
CCPA

Quality Breakdown

Data Coverage
20
Documentation
75
Compliance
0
Pricing Clarity
0

Signal Analysis

Categories

Asset ValuationData Quality and CleansingESG Investment AnalysisFinancialMachine Learning

Listed On

snowflake_marketplace
Intelligence Scores3/7 pillars scored
Market Presence
16
Integration
20
Business Maturity
3
Extended Analytics

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About Arcesium

Arcesium is an alternative data vendor. Arcesium specializes in asset valuation, data quality and cleansing, esg investment analysis, financial, machine learning data. This vendor has a Vedex Intelligence Score of 19 out of 100, reflecting market presence, compliance posture, integration readiness, and business maturity.

Data Categories

Arcesium operates in the following alternative data categories.

Asset ValuationData Quality and CleansingESG Investment AnalysisFinancialMachine Learning

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