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Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

List of Mozart Data ETL Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Craft Ventures Banking and Financial Services 50 $20M United States Mozart Data Mozart Data ETL Extract, Transform, and Load (ETL) 2022 n/a In 2022, Craft Ventures deployed Mozart Data ETL to consolidate multiple external data sources into a centralized warehouse to accelerate its investment pipeline and CRM enrichment workflows in the United States. The implementation used Mozart Data ETL as the Extract, Transform, and Load (ETL) platform to standardize ingestion, enforce schema mapping, and stage data for downstream analytics. Implementation focused on configurable data pipelines with incremental transforms and automated syncs to maintain near continuous freshness of investor and deal data. Transformation capabilities included normalized entity modeling for company, investor, and deal records and enrichment routines to augment CRM profiles. Mozart Data ETL’s automated syncs fed the centralized warehouse and enabled direct CRM enrichment workflows used by sourcing and investor relations teams. Operational scope covered the firm’s investment sourcing and CRM functions across the United States with centralized data access controls and a governance model that prioritized pipeline visibility and data consistency. Rollout emphasized pipeline configuration, sync cadence, and access provisioning to ensure 100% of investors regularly accessed the consolidated dataset. The project delivered the explicitly stated outcome of 100% investor access and reduced time and cost to surface actionable investment insights.
Modern Treasury Professional Services 150 $15M United States Mozart Data Mozart Data ETL Extract, Transform, and Load (ETL) 2022 n/a In 2022, Modern Treasury deployed Mozart Data ETL to centralize payments, CRM, product and billing data into a managed warehouse. Modern Treasury used Mozart Data ETL, an Extract, Transform, and Load (ETL) application, to unify cross-functional data and enable self-serve analytics for teams across Finance, Product, Customer Success and Marketing in the United States. The implementation prioritized managed warehouse provisioning together with an operational ETL layer to standardize data ingestion and access. The deployment combined extract and load pipelines with a dedicated transform layer to clean, normalize and model payments, CRM, product and billing datasets. Mozart Data ETL provisioned the managed warehouse and orchestrated recurring data pipelines, supporting materialized transforms and analytics-ready data structures for downstream BI and analytics workflows. Configuration emphasized reusable transformation logic and centralized schema control to reduce ad hoc data requests and accelerate data productization. Operational coverage explicitly included Finance, Product, Customer Success and Marketing teams, enabling self-service query access and analytics workflows across the organization. Governance shifted toward centralized data provisioning and transform ownership to manage schemas and access, enabling broader adoption of analytics practices. The Mozart deployment increased regular data access to 47% of the team and sped implementation of Modern Treasury's data stack by approximately 3x.
QuotaPath Professional Services 70 $7M United States Mozart Data Mozart Data ETL Extract, Transform, and Load (ETL) 2023 n/a In 2023, QuotaPath implemented Mozart Data ETL to centralize data workflows that had relied on manual CSV exports. The Extract, Transform, and Load (ETL) deployment combined Mozart Data ETL with Mozart’s managed warehouse and transform capabilities to build an all-in-one modern data stack supporting Revenue Operations, Sales, Product, and Marketing in the United States. The implementation centered on production ETL pipelines and a transform layer that consolidated disparate source extracts into a curated warehouse schema. Mozart Data ETL was configured for scheduled ingestion, transformation orchestration, and managed storage, enabling governed data models and repeatable data preparation for downstream analytics. The configuration captured transform logic in the managed warehouse to support consistent reporting and versioned data artifacts. Operational coverage extended across Revenue Operations, Sales, Product, and Marketing, with the company reporting that roughly 80 percent of employees regularly accessed the consolidated data set. The modern data stack reduced reliance on ad hoc CSV handoffs and provided a managed warehouse and transform layer to accelerate data availability and query performance. Reported outcomes tied to the Mozart Data ETL implementation included roughly 5x faster data access and approximately 80 percent of the company regularly accessing data. Governance and access controls were centralized in the managed warehouse to maintain transform logic and support consistent analytics across business functions.
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