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Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

List of Pyramid Analytics OS Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Editora Positivo Education 1500 $100M Brazil Pyramid Analytics Pyramid Analytics OS Analytics and BI 2017 n/a
In 2017, Editora Positivo implemented Pyramid Analytics OS for Analytics and BI. The deployment established a centralized analytics capability to support academic operations and learning management across the organization. Pyramid Analytics OS was configured with semantic data modeling, self-service dashboards, scheduled reporting, and ad hoc analytics to support curriculum analytics, student performance reporting, and operational BI use cases. The implementation leveraged standard Analytics and BI functional terminology including semantic layers, KPI modeling, visualization, and governed reporting workflows. The implementation integrated Pyramid Analytics OS with Oracle Database Management and a SQL Server integration layer that consolidated data feeds between the Academic System and the Blackboard LMS. Support for Blackboard and Starline systems was included to unify LMS and content platform telemetry, with ETL orchestration handled through SQL Server-based integration pipelines. Deployment-level governance emphasized role based access controls, scheduled ETL refreshes, and semantic layer governance to ensure consistent measures for academic stakeholders. The Editora Positivo Pyramid Analytics OS Analytics and BI capability was positioned to serve academic teams, teaching staff, and corporate reporting functions.
Lingnan University Education 833 $350M Hong Kong Pyramid Analytics Pyramid Analytics OS Analytics and BI 2015 n/a
In 2015, Lingnan University implemented Pyramid Analytics OS to establish an enterprise Analytics and BI capability for campus operations and administrative reporting. The deployment targeted institutional reporting across Student, Finance and HR business functions, reflecting direct support for Ellucian Banner ERP modules used in student administration, finance and human resources. Pyramid Analytics OS was configured to provide semantic modeling, ad hoc analytics, dashboarding and scheduled reporting for departmental stakeholders, with requirement analysis, architecture design, coding, testing and deployment carried out by the university’s IT application team. Configuration work included building data models and interactive visualizations that support both operational reporting and analytical exploration, aligned to common Analytics and BI workflows. Technical integration tied Pyramid Analytics OS to the university’s Oracle database platform using stored procedures and PL/SQL artifacts, and to Ellucian Banner ERP data feeds via RESTful API integration for student, finance and HR datasets. The implementation also surfaced analytics into web and mobile channels used on campus, leveraging backend RESTful APIs and the existing LU Mobile application delivery framework. Governance and operationalization were handled through internal IT processes, including requirement capture, iterative testing and ongoing application support by the Assistant Information Manager and the campus development team. Pyramid Analytics OS remains the stated analytics engine in use, supporting the university’s reporting and data analysis needs without external systems integrator involvement.
Premier Foods Consumer Packaged Goods 4000 $1.5B United Kingdom Pyramid Analytics Pyramid Analytics OS Analytics and BI 2020 n/a
In 2020, Premier Foods implemented Pyramid Analytics OS. The deployment used Pyramid Analytics OS in the Analytics and BI category to centralize analytics for sales and transactional reporting across the business. The implementation combined Pyramid Analytics OS capabilities for data preparation, business analytics, and embedded data science within a single decision intelligence platform. Configuration emphasized the platform's super-fast direct query engine and an AI-guided governed self-service experience to enable non-technical users to author and consume analytics without separate toolchains. A key integration point was live connectivity into SAP Business Warehouse SAP BW, which provided the main source of transactional data such as sales records. Analytics Manager Daniel Flynn noted that the ability to connect directly to SAP BW and pull data through with prompts removed the need to extract and copy data, making the SAP BW connection a critical operational capability for reporting and analysis. Governance was anchored on the platform's governed self-service controls, including data access prompts on live connections and centralized metadata management to support consistent reporting. The deployment scoped to analytics and commercial reporting workflows, enabling the analytics team and business users to access governed datasets while preserving enterprise data controls, and this direct SAP BW connectivity was described internally as a major win.
St. Luke's Health System (ID) Non Profit 12000 $2.3B United States Pyramid Analytics Pyramid Analytics OS Analytics and BI 2015 n/a
In 2015 St. Luke's Health System implemented Pyramid Analytics OS within its Analytics and BI environment to centralize clinical reporting and self service analytics. The engagement focused on designing and developing analytical models, reports, and dashboards using SSRS, SSIS, SSAS, Pyramid Analytics OS, Power BI, and Crystal Reports to support clinical staff data requests. The implementation emphasized semantic modeling and report orchestration, with Pyramid Analytics OS used as the front end for centralized dashboards, governed semantic layers, and scheduled report distribution. Back end capabilities included SSIS based ETL pipelines, SSAS cube and tabular modeling, SSRS and Crystal Reports templates, and SQL views and stored procedures to produce extracts and ad hoc query results for downstream consumption. Integrations were explicitly built between Pyramid Analytics OS and the Microsoft BI stack components SSRS, SSIS, and SSAS, alongside Power BI and Crystal Reports content sources, with SQL based extracts and stored procedures forming the data delivery layer. Operational coverage centered on clinical departments and the Data and Analytics team, with internal and external stakeholders engaged to define the business processes and key metrics driving clinical and operational reporting. Governance and delivery processes used scrum practices and Azure DevOps for backlog management, data validation, unit testing, and automated integration testing. Training was delivered to clinical staff to adopt user defined reporting solutions, and project collaboration occurred across Data and Analytics team members to align workflows, reporting standards, and metric definitions.
Trustmark Insurance 6000 $1.1B United States Pyramid Analytics Pyramid Analytics OS Analytics and BI 2015 n/a
In 2015, Trustmark implemented Pyramid Analytics OS for Analytics and BI. The deployment focused on delivering operational and analytical dashboards and reports to provide claim, financial and enrollment information across the organization. Pyramid Analytics OS was configured with semantic modeling and interactive dashboard capabilities to support both scheduled operational reporting and ad hoc analysis. The implementation emphasized standardized data models and reusable report templates for claims, finance and enrollment reporting workflows. The implementation consumed SQL Server as the primary data store, and operated alongside existing WebFOCUS and Tableau reporting artifacts to align reporting workflows and surface consistent metrics. Integrations were configured to allow Pyramid Analytics OS to reference SQL Server datasets while coexisting with outputs produced in WebFOCUS and Tableau. Operational scope covered claims processing, financial reporting and benefits enrollment functions across Trustmark United States operations, with governance established for report lifecycle management, data ownership and access controls. Training and handoff processes were put in place to enable business users to maintain dashboards and govern publication and versioning.
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FAQ - APPS RUN THE WORLD Pyramid Analytics OS Coverage

Pyramid Analytics OS is a Analytics and BI solution from Pyramid Analytics.

Companies worldwide use Pyramid Analytics OS, from small firms to large enterprises across 21+ industries.

Organizations such as St. Luke's Health System (ID), Premier Foods, Trustmark, Lingnan University and Editora Positivo are recorded users of Pyramid Analytics OS for Analytics and BI.

Companies using Pyramid Analytics OS are most concentrated in Non Profit, Consumer Packaged Goods and Insurance, with adoption spanning over 21 industries.

Companies using Pyramid Analytics OS are most concentrated in United States, United Kingdom and Hong Kong, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Pyramid Analytics OS across Americas, EMEA, and APAC.

Companies using Pyramid Analytics OS range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 20%, large organizations with 1,001-10,000 employees - 60%, and global enterprises with 10,000+ employees - 20%.

Customers of Pyramid Analytics OS include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Pyramid Analytics OS customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Analytics and BI.