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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

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

List of Lightdash Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Justwatch Media 238 $25M Germany Lightdash Lightdash Analytics and BI 2024 n/a In 2024 JustWatch implemented Lightdash in the Analytics and BI category to build an AI-powered, self-serve analytics culture across product and marketing teams in Europe. The deployment targeted self-serve reporting and exploratory analysis to reduce dependence on centralized reporting and accelerate data-informed decision making within product and marketing functions. The rollout was dbt-driven and completed within months, with Lightdash configured to surface dbt models into a governed semantic layer, enable SQL-defined metrics, and provide exploration and dashboarding capabilities. Configuration emphasized metric consistency and model reusability to support cross-functional analytics workflows and to make analytics accessible to non-technical users. Operational coverage centered on product and marketing teams across European sites, and the implementation linked the analytics layer directly to dbt artifacts to preserve transformation lineage and ensure consistent metric definitions. Governance focused on a centralized metric catalog, designated ownership for model maintenance, and processes to manage model changes and access for self-serve users. JustWatch reported outcomes including an 86% reduction in BI tool spend and 72% of employees using Lightdash monthly following the dbt-driven rollout. Lightdash therefore served as the primary Analytics and BI platform for product and marketing analytics, supporting a shift toward self-serve exploration and governed metrics.
Qargo Transportation 50 $4M United Kingdom Lightdash Lightdash Analytics and BI 2024 n/a In 2024, Qargo embedded Lightdash into its transport management platform to provide secure, multi tenant analytics for customers and internal teams in the United Kingdom logistics sector. The deployment positioned Lightdash as the primary Analytics and BI application for embedded customer dashboards and internal reporting across operations and commercial teams. The Lightdash implementation was delivered as a self hosted, dbt integrated solution using embedded dashboards, tenant filtering logic, and token based authentication to isolate customer views and enforce access controls. Configuration and build efforts centered on reusable embedded dashboard templates, governed metrics sourced from dbt models, and access workflows that supported both external customers and internal BI users for ad hoc exploration and scheduled reporting. Integrations were centered on dbt for model and metric governance and the Lightdash embedding SDK for in product analytics delivery, with no system integrator reported. Operational coverage included Qargo customers and internal teams across its UK transport operations, with dashboards surfaced inside the transport management platform to support planning, tracking, and commercial reporting. Governance work simplified tenant filtering and token based authentication workflows and centralized metric definitions in dbt to reduce embedding complexity. The implementation increased embedded dashboard usage by approximately 50 percent and grew internal BI users by approximately 40 percent while establishing Lightdash as the Analytics and BI layer within Qargo's platform.
Tatango Professional Services 10 $1M United States Lightdash Lightdash Analytics and BI 2024 n/a In 2024, Tatango implemented Lightdash to create a single source of truth for fundraising analytics used by product and fundraising teams in the United States. The deployment positioned Lightdash as the primary Analytics and BI layer for reporting and exploration across fundraising and product metrics. Implementation focused on Lightdash configuration for centralized metric definitions and dashboard delivery, combined with dbt for data modeling and transformation. Lightdash was configured to centralize metric logic, build reusable dashboards, and enable self service exploration for nontechnical product and fundraising users. The rollout integrated Lightdash with dbt models, forming a dbt + Lightdash analytics stack that reduced data team hours by around 40% and sped up dashboard turnaround by approximately 50%. Operational ownership rested with product and fundraising teams in the United States, who used Lightdash dashboards for ongoing fundraising analytics and decision support. Governance and workflow changes established shared metric definitions in Lightdash backed by modeled data from dbt, aligning teams on key metrics and reducing metric disputes. The program emphasized centralized metric stewardship, streamlined dashboard request workflows, and faster iteration cycles for analytics deliverables.
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