List of Composable Analytics Customers
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United States
Since 2010, our global team of researchers has been studying Composable Analytics 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 Composable Analytics 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 Composable Analytics for Analytics and BI include: United States Army, a United States based Government organisation with 453551 employees and revenues of $65.25 billion, Philips, a Netherlands based Manufacturing organisation with 67247 employees and revenues of $18.02 billion, Ropes & Gray, a United States based Professional Services organisation with 1500 employees and revenues of $2.67 billion and many others.
Contact us if you need a completed and verified list of companies using Composable Analytics, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Philips | Manufacturing | 67247 | $18.0B | Netherlands | Composable Analytics | Composable Analytics | Analytics and BI | 2019 | n/a |
In 2019, Philips deployed Composable Analytics to support healthcare and cybersecurity analytics. Composable Analytics is categorized as Analytics and BI and was used to collect, curate and explore high-volume, high-variety sensor and event data across Europe. Philips Composable Analytics Analytics and BI supported healthcare analytics and cybersecurity operations by centralizing event stream handling and exploratory analysis for operational teams.
The implementation architecture emphasized distributed data ingestion and query processing, ingesting sensor and event streams and enabling distributed query and analytics over those streams. Functional modules inferred from the vendor case description include data ingestion, distributed query and analytics, and DataOps capabilities to manage pipelines and governance. The deployment enabled interactive exploration and curation of time series and event datasets consistent with enterprise Analytics and BI patterns for sensor-fed use cases.
Operational scope covered healthcare analytics teams and cyber and operational security teams in Europe, with the platform providing situational awareness for those groups. Governance and process changes focused on DataOps workflows for pipeline management and data curation, aligning analytics consumption with operational incident and monitoring processes. The engagement delivered improved situational awareness for cyber and operational teams as reported in the vendor case material.
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Ropes & Gray | Professional Services | 1500 | $2.7B | United States | Composable Analytics | Composable Analytics | Analytics and BI | 2020 | n/a |
In 2020, Ropes & Gray implemented Composable Analytics in an Analytics and BI configuration to support professional-services workflows and knowledge and decision support across its United States legal teams. The vendor lists Ropes & Gray as a customer using Composable Analytics for analytics and data-driven applications to support professional-services workflows and knowledge and decision support. The engagement targets insight delivery and knowledge management for legal practitioners and practice leadership.
Module usage including customer/knowledge 360, dashboards and DataOps is inferred from the vendor customer roster and is likely focused on improving insight delivery to legal teams. The Composable Analytics implementation is described in vendor materials as enabling a knowledge 360 aggregation layer, role-based dashboards for practice and matter analytics, and DataOps pipelines to operationalize data ingestion, standardization, and refresh cycles, consistent with Analytics and BI capabilities.
Operational scope centered on professional services functions within the firm, notably practice groups, knowledge management, and decision support workflows across the United States. Governance and rollout emphasis is on data stewardship and controlled access to client and matter intelligence, aligning analytics productization with legal workflow requirements and operational cadence.
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United States Army | Government | 453551 | $65.3B | United States | Composable Analytics | Composable Analytics | Analytics and BI | 2018 | n/a |
In 2018, the United States Army implemented Composable Analytics. The Army deployed Composable Analytics as an Analytics and BI information and application management system designed to enable collaborative exploration of complex, information based problems across agencies and jurisdictions in the United States.
The implementation emphasized analytics capabilities, a centralized data catalog, and deployable web applications to surface curated datasets and interactive analyses. Configuration work focused on metadata management, role based access to analytic workspaces, and templated web app delivery to support multi agency analytic scenarios.
Operational coverage extended across federal agencies and jurisdictional boundaries, with the platform hosting shared datasets, analytic workflows, and application artifacts to support interagency collaboration. The platform functioned as an information and application management layer to coordinate cross agency analytic activity and cataloged resources for discoverability.
Governance changes included establishing data stewardship and collaborative workflows to manage catalog metadata, access controls, and joint analytic projects. The implementation was used to improve cross agency information sharing and analytic collaboration as described by the vendor.
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