List of Hitachi Lumada Data Catalog Customers
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Since 2010, our global team of researchers has been studying Hitachi Lumada Data Catalog 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 Hitachi Lumada Data Catalog 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 Hitachi Lumada Data Catalog for Master Data Management include: State of Arizona, a United States based Government organisation with 37040 employees and revenues of $37.05 billion, Fannie Mae, a United States based Banking and Financial Services organisation with 7000 employees and revenues of $30.85 billion, Centrica, a United Kingdom based Utilities organisation with 22147 employees and revenues of $26.79 billion and many others.
Contact us if you need a completed and verified list of companies using Hitachi Lumada Data Catalog, 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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Centrica | Utilities | 22147 | $26.8B | United Kingdom | Hitachi Vantara | Hitachi Lumada Data Catalog | Master Data Management | 2021 | n/a |
In 2021 Centrica deployed Hitachi Lumada Data Catalog as its Master Data Management solution to automate trusted data discovery across a hybrid data fabric. The deployment focused on cataloging and indexing enterprise metadata to support energy operations, customer operations, and regulatory compliance in the United Kingdom.
The implementation leveraged Hitachi Lumada Data Catalog capabilities including automated data discovery, metadata management, policy aware classification, and stewardship workflows to strengthen data privacy controls. Configuration emphasized catalog driven searchability, dataset classification and lineage capture to enable governance and make authoritative datasets discoverable for analytics and operational teams. These functional elements reflect common Master Data Management workflows such as profiling, stewardship, and metadata orchestration.
Operational scope covered energy and customer operations and regulatory compliance within the UK, with the catalog instrumented across Centrica's hybrid data fabric. Governance and process changes prioritized centralizing metadata stewardship and automating discovery to reduce manual data handling. The project was explicitly aimed to improve data privacy controls, reduce operational risk and accelerate data driven customer and sustainability initiatives.
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Fannie Mae | Banking and Financial Services | 7000 | $30.9B | United States | Hitachi Vantara | Hitachi Lumada Data Catalog | Master Data Management | 2022 | n/a |
In 2022, Fannie Mae deployed Hitachi Lumada Data Catalog, leveraging the Pentaho Data Catalog component of Hitachi Vantara's DataOps Lumada portfolio to automate profiling, tagging and cataloging of large file volumes. Hitachi Lumada Data Catalog is implemented as a Master Data Management solution to centralize metadata and accelerate data discovery across the organization.
The implementation configured automated data profiling, metadata extraction, automated tagging and cataloging pipelines to support high throughput file processing. The deployment handled automated processing at scale, reported at approximately 10M files per day, enabling more rapid ingestion and catalog updates for downstream consumers.
Operational coverage focused on analytics, data governance and compliance use cases within the U.S. financial services environment, with primary consumers including data analysts, governance teams and compliance groups. The solution supported faster data availability for analysts, improved data quality processes and stronger compliance controls as part of its operational role.
Governance and workflow changes centered on centralizing cataloging and operationalizing automated stewardship tasks, standardizing metadata and tagging to support policy enforcement and auditability. Configuration emphasized repeatable pipelines for profiling and classification to sustain catalog freshness and to integrate with existing analytics workflows.
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State of Arizona | Government | 37040 | $37.0B | United States | Hitachi Vantara | Hitachi Lumada Data Catalog | Master Data Management | 2023 | n/a |
In 2023, the State of Arizona implemented Hitachi Lumada Data Catalog from Hitachi Vantara as its Master Data Management solution to centralize, classify and analyze metadata associated with approximately 330,000 distributed water resources. The deployment targeted state environmental and water resource data to support water management, adjudication and sustainability efforts across Arizona agencies responsible for planning and regulation.
The implementation focused on cataloging and metadata management capabilities typical of a data catalog, including metadata ingestion from disparate source systems, automated classification, metadata profiling, and trusted data discovery. Hitachi Lumada Data Catalog was configured to enable authoritative dataset tagging, searchable metadata indexes, and profiling workflows that surface data quality and lineage for environmental datasets.
Operationally the deployment centralized metadata from distributed water resource datasets across state agencies, enabling planners and regulators to locate authoritative sources for adjudication and sustainability planning. The scope emphasized government environmental and water resource processes, consolidating metadata visibility while preserving source system ownership of underlying datasets.
Governance changes included formalized metadata stewardship and profiling workflows to sustain trusted discovery, with cataloging and profiling embedded into existing data access and regulatory review processes. The deployment improved trusted data discovery and profiling for government environmental and water resource processes, enabling faster access to authoritative datasets for planners and regulators.
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