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Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

List of CloverDX Data Integration Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
EE United Kingdom Communications 10000 $11.8B United Kingdom CloverDX CloverDX Data Integration iPaaS (Integration Platform as a Service) 2018 n/a In 2018, EE United Kingdom implemented CloverDX Data Integration, an iPaaS (Integration Platform as a Service), to orchestrate ingestion into an Amazon Redshift cloud data warehouse with Tableau for analytics and reporting. A small analytics team at EE UK uses CloverDX Data Integration to accelerate analytics and reporting and to simplify onboarding of new data sources that support marketing, CRM and BI workflows. The deployment emphasizes data orchestration and pipeline automation, with CloverDX Data Integration managing extract, transform and load workflows and connector-driven ingestion into Amazon Redshift, while Tableau serves as the downstream visualization layer. Governance centered on standardizing ingestion patterns, reusable transformation components and operational runbooks, enabling the analytics team to provision new sources and maintain pipelines across marketing, CRM and business intelligence functions.
Mexico Power Group Utilities 60 $25M Mexico CloverDX CloverDX Data Integration iPaaS (Integration Platform as a Service) 2015 n/a In 2015 Mexico Power Group deployed CloverDX Data Integration as an iPaaS (Integration Platform as a Service) implementation to centralize data workflows that support finance and project budgeting for wind development across multiple offices and project locations in Mexico. The CloverDX Data Integration deployment was positioned to consolidate disparate project data sources and enable consistent ingestion and processing for monthly project-level budgeting. CloverDX Data Integration was configured with standard iPaaS capabilities including data ingestion, transformation and orchestration, scheduled pipeline execution, error handling and metadata-driven mapping. The implementation included project allocation workflows inferred from the company s multi-office, monthly budgeting needs, enabling structured ETL and transformation logic to align project cost lines and budget allocations with finance and project planning models. Operational scope covered finance and project management functions across the company s offices and field project locations, supplying normalized budget feeds to processes that were used to manage monthly project budgets. The implementation supported the company s use of CloudBudget Pro for monthly project-level budgeting by providing consistent, staged data pipelines and orchestration that underpinned project vs budget visibility for project managers. Governance emphasized scheduled reconciliations, data quality validation rules and role-based access controls to ensure project managers and finance teams received timely, auditable budget data. The deployment gave project managers near real-time visibility into project versus budget, reflecting a focus on operational reporting and budget control for wind development projects.
Telefonica Tech Spain Professional Services 3000 $650M Spain CloverDX CloverDX Data Integration iPaaS (Integration Platform as a Service) 2022 n/a In 2022, Telefonica Tech Spain deployed CloverDX Data Integration as its iPaaS (Integration Platform as a Service) to centralize data orchestration and standardized transformation across its service lines. CloverDX Data Integration was positioned to provide a unified integration layer supporting batch and streaming workflows, canonical data models, and reusable transformation components for operational and analytical use cases. The implementation focused on core iPaaS capabilities, including visual pipeline design, runtime orchestration, scheduling, and centralized logging and error handling. Configuration included reusable transformation libraries, data validation and enrichment steps, and environment promotion workflows to move artifacts from development to production. Operational integrations were scoped to connect cloud and on-premise data sources, data lakes, message queues, and downstream business applications, using the platform s connector framework and API-based endpoints. The deployment architecture balanced centralized control with distributed runtime execution to support regional processing and to meet data locality requirements for multiple teams. Governance and operational controls emphasized pipeline lifecycle management, role based access control, versioning of integration artifacts, and monitoring with alerting for data quality and job failures. The program targeted operational teams, data engineering, analytics, and platform owners, establishing standardized deployment processes and runbook driven incident response for integration operations.
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