List of Cloudera Octopai Customers
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United States
Since 2010, our global team of researchers has been studying Cloudera Octopai 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 Cloudera Octopai for Master Data Management 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 Cloudera Octopai for Master Data Management include: CooperVision, a United States based Professional Services organisation with 15000 employees and revenues of $2.60 billion, Daktronics, a United States based Manufacturing organisation with 2520 employees and revenues of $818.0 million, Healthesystems, a United States based Insurance organisation with 400 employees and revenues of $230.0 million and many others.
Contact us if you need a completed and verified list of companies using Cloudera Octopai, 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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CooperVision | Professional Services | 15000 | $2.6B | United States | Cloudera | Cloudera Octopai | Master Data Management | 2023 | n/a |
In 2023, CooperVision implemented Cloudera Octopai as part of a Master Data Management initiative to provide end-to-end visibility across a complex BI and data landscape. Cloudera Octopai was deployed alongside Collibra to align automated lineage and catalog capabilities with enterprise governance and compliance workflows supporting analytics and reporting.
The implementation focused on Octopai capabilities for automated lineage extraction, metadata cataloging, and lineage visualization, enabling searchable metadata and impact analysis across data assets. Cloudera Octopai was configured to index and surface data asset relationships and lineage, which supported data discovery and stewardship functions in the company’s BI and analytics processes.
Integrations included scanning and linking metadata from legacy BI platforms, Snowflake, and Tableau to create consolidated lineage and catalog views. The deployment provided a single reference plane for data engineers, analysts, and governance teams by correlating BI reports, dashboards, and underlying Snowflake data models within the Cloudera Octopai catalog.
Governance was operationalized by pairing Cloudera Octopai lineage with Collibra stewardship workflows to improve compliance controls and cross-team collaboration for analytics and reporting. The project delivered improved governance, compliance, and collaboration outcomes as highlighted in the customer case study, while maintaining a focus on metadata-driven data management within the Master Data Management category.
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Daktronics | Manufacturing | 2520 | $818M | United States | Cloudera | Cloudera Octopai | Master Data Management | 2023 | n/a |
In 2023, Daktronics implemented Cloudera Octopai Data Lineage to automate impact analysis across a multi-vendor data environment. Cloudera Octopai was onboarded rapidly as a SaaS solution to provide Master Data Management capabilities for analytics, reporting and data engineering functions at the manufacturer.
The implementation prioritized automated data lineage and impact analysis across ETL pipelines, reporting datasets and physical tables, converting manual tracing workflows into automated discovery processes. Cloudera Octopai's lineage and discovery capabilities were configured to scan pipelines and catalog table-level relationships, supporting change impact analysis, root cause investigation and dataset documentation workflows.
Deployment operated across Daktronics' multi-vendor stack and integrated with existing ETL and reporting layers without naming specific vendors, delivering a unified view of data flows. Operational coverage focused on analytics, BI and data engineering teams, centralizing lineage visibility across departmental reporting and analytical pipelines.
Governance and rollout emphasized automated impact workflows and role-based access for analysts and engineers, embedding lineage-driven procedures into change and release processes. The case study reports that the solution reduced weeks of manual tracing to minutes and cut substantial manual effort, reflecting the implementation's primary operational benefit.
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Healthesystems | Insurance | 400 | $230M | United States | Cloudera | Cloudera Octopai | Master Data Management | 2023 | n/a |
In 2023 Healthesystems implemented Cloudera Octopai as a Master Data Management solution to modernize its data architecture and accelerate enterprise data discoverability, lineage, and governance. The deployment leveraged Cloudera Octopai Data Lineage to create a persistent, queryable view of data flows and metadata across the organization’s data estate.
Implementation focused on automated lineage and metadata catalog capabilities, with Cloudera Octopai configured to continuously extract lineage, index metadata, and present cataloged assets for search and impact analysis. Functional workflows emphasized metadata harvesting, catalog-driven data discovery, and lineage visualization to support analysts finding trusted data assets and tracing downstream dependencies.
Operational coverage spanned cross-functional analytics and compliance use cases within the insurance and healthcare business, enabling business intelligence, data science, and governance teams to use the Cloudera Octopai catalog and lineage views. Governance changes included formalizing stewardship workflows and documented lineage review as part of data request and validation processes to increase transparency and reduce manual investigation.
Healthesystems reported an approximately 80% reduction in time spent on data-seeking tasks after deploying Cloudera Octopai, reflecting faster discovery and lineage resolution enabled by the Master Data Management deployment.
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