List of EasyMorph Customers
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Since 2010, our global team of researchers has been studying EasyMorph customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased EasyMorph for Extract, Transform, and Load (ETL) from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using EasyMorph for Extract, Transform, and Load (ETL) include: Rio Tinto, a United Kingdom based Oil, Gas and Chemicals organisation with 60000 employees and revenues of $53.66 billion, Matilda Jane Clothing, a United States based Retail organisation with 135 employees and revenues of $15.0 million, Credigy Solutions, a United States based Banking and Financial Services organisation with 100 employees and revenues of $10.0 million and many others.
Contact us if you need a completed and verified list of companies using EasyMorph, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The EasyMorph customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Credigy Solutions | Banking and Financial Services | 100 | $10M | United States | EasyMorph | EasyMorph | Extract, Transform, and Load (ETL) | 2022 | n/a |
In 2022, Credigy Solutions implemented EasyMorph Server and EasyMorph Desktop to automate ingestion and transformation of thousands of files for its investment and finance analytics work. The deployment used EasyMorph in the Extract, Transform, and Load (ETL) category to centralize data preparation across its United States operations.
Credigy’s analysts built roughly 100 automated workflows in EasyMorph Desktop, while EasyMorph Server provided centralized orchestration and execution of those workflows, enabling automated batch processing and repeatable transformation pipelines. The implementation emphasized ingestion, data cleansing, normalization, and transformation capabilities typical of ETL platforms, with Desktop serving as the authoring environment and Server as the runtime and orchestration layer.
The deployment supported investment and finance analytics teams and is documented in the vendor case study which explicitly cites use of EasyMorph Server and Desktop. As recorded in that case study, automation freed up to 4x more time for analysis and reduced time to decision from days to minutes, while standardizing ETL processes and operational workflows for analysts.
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Matilda Jane Clothing | Retail | 135 | $15M | United States | EasyMorph | EasyMorph | Extract, Transform, and Load (ETL) | 2019 | n/a |
In 2019, Matilda Jane Clothing implemented EasyMorph using the Extract, Transform, and Load (ETL) application to support retail sales and marketing analytics in the United States. EasyMorph was deployed together with Panoply to collect, transform, and centralize sales and marketing data into a data warehouse, as presented in a Panoply webinar.
The implementation emphasized EasyMorph's ETL and data-transformation capabilities, including visually defined transformation logic, data mapping, and automation of recurring data loads into Panoply's hosted warehouse. Workflows consolidated point-of-sale, e-commerce, and marketing campaign data into standardized datasets for reporting and downstream analysis.
Operational scope targeted sales and marketing teams across Matilda Jane Clothing's US operations, with governance established around scheduled ETL runs, data validation checks, and a centralized data model to ensure consistent analytics. The Panoply and EasyMorph integration enabled Matilda Jane Clothing to better manage growth and identify sales opportunities, as described in the webinar.
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Rio Tinto | Oil, Gas and Chemicals | 60000 | $53.7B | United Kingdom | EasyMorph | EasyMorph | Extract, Transform, and Load (ETL) | 2023 | n/a |
In 2023, Rio Tinto implemented EasyMorph in its global People/HR analytics function, citing EasyMorph by name in a People Data & Analytics job posting that lists ETL/data-transformation tools used to extract and transform data for analytics and reporting. The posting links EasyMorph directly to work on payroll and people-analytics data extraction and automation, establishing the application as part of Rio Tinto's HR data tooling set.
EasyMorph is deployed as an Extract, Transform, and Load (ETL) tool to perform data extraction, transformation, and pipeline automation for People and payroll datasets. The implementation supports data preparation and conditioning workflows that feed HR reporting and people-analytics processes, with EasyMorph used to orchestrate repeatable transformations and automate routine data flows.
Operational ownership is positioned within Rio Tinto's People Data & Analytics team, with the recruitment notice posted via UK and global channels indicating a global People/HR analytics scope. Governance responsibilities implied by the role include maintaining ETL pipelines, enforcing data preparation standards, and scheduling automated jobs to support payroll and HR reporting workflows.
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Buyer Intent: Companies Evaluating EasyMorph
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