List of Datamatic.io Customers
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Since 2010, our global team of researchers has been studying Datamatic.io 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 Datamatic.io for Analytics and BI 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 Datamatic.io for Analytics and BI include: Ingram Micro, a United States based Distribution organisation with 23500 employees and revenues of $48.00 billion, Harris Teeter, a United States based Retail organisation with 35000 employees and revenues of $5.00 billion, OneTouch Direct, a United States based Professional Services organisation with 2100 employees and revenues of $250.0 million and many others.
Contact us if you need a completed and verified list of companies using Datamatic.io, 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 Datamatic.io 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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Harris Teeter | Retail | 35000 | $5.0B | United States | Datamatic | Datamatic.io | Analytics and BI | 2019 | n/a |
In 2019, Harris Teeter implemented Datamatic.io as an Analytics and BI initiative to upgrade enterprise content management and introduce intelligent automation across its U.S. retail operations. The deployment was driven by the vendor Datamatic and prioritized modernization of document intake and capture workflows for back-office processing.
The implementation concentrated on enterprise content management upgrades and intelligent automation capabilities for accounts-payable and HR capture processes, configuring document capture, content indexing, automated routing, and a richer content-management user experience. Datamatic.io was configured to support finance level workflows for accounts-payable and HR capture workflows, aligning capture, approval routing, and searchability with business process needs.
The rollout covered Harris Teeter U.S. retail operations in the finance and HR domains and included changes to approval workflows and content governance to reduce manual intervention. The project delivered faster processing times and a richer content-management UX, reducing manual work and improving approvals and searchability, illustrating Harris Teeter Datamatic.io Analytics and BI support for finance / AP and HR business functions.
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Ingram Micro | Distribution | 23500 | $48.0B | United States | Datamatic | Datamatic.io | Analytics and BI | 2020 | n/a |
In 2020, Ingram Micro deployed Datamatic.io to automate invoice extraction and validation across its global finance operations, targeting Accounts Payable workflows. The deployment is categorized under Analytics and BI and leveraged Datamatics TruCap+ intelligent document processing capabilities reported in the case study.
The implementation focused on automated document capture, optical character recognition, data extraction, and rule-based validation to streamline invoice intake and exception handling. Datamatic.io was configured to support invoice classification and field-level validation, with machine learning models tuned to improve extraction accuracy and reduce manual verification steps within Finance AP processes.
Operational coverage included Europe and other regions within Ingram Micro global operations, concentrating on Finance and Accounts Payable teams rather than a single site. The rollout centralized invoice data capture and validation workflows to feed downstream AP processing, reducing the need for distributed manual data entry across regional teams.
Governance for the deployment emphasized configuration management and model retraining to preserve extraction performance across diverse invoice formats, with process owners in Finance tasked with exception workflow oversight. Outcomes reported in the case study include approximately 95% extraction accuracy, about 60% faster invoice cycle times, and roughly an 85% reduction in manual effort following the Datamatics TruCap+ deployment via Datamatic.io.
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OneTouch Direct | Professional Services | 2100 | $250M | United States | Datamatic | Datamatic.io | Analytics and BI | 2023 | n/a |
In 2023, OneTouch Direct engaged Datamatic to move on-premise systems to a cloud architecture and deploy Datamatic.io together with TruBI for real-time dashboards and reporting to support contact-center operations in the United States. The Datamatic.io deployment focused on Analytics and BI capabilities to centralize reporting and provide operational visibility across contact centers.
The implementation delivered TruBI real-time dashboards, a centralized reporting layer, and automated complex report generation, combined with cloud-hosted data pipelines and visualization services. Datamatic.io was configured to ingest operational contact-center data, orchestrate scheduled report runs, and present live agent and queue metrics through role-aware BI dashboards and self-service reporting.
Rollout targeted OneTouch Direct contact-center operations in the United States with a centralized governance model for report templates, access controls, and scheduled distribution to stakeholders. The project centralized reporting workflows and automated complex report generation, reducing manual reporting time by over 60 percent and improving data accuracy and operational visibility.
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