List of Datanova Fusion Hub CDP Customers
Baltimore, 21211-9810, MD,
United States
Since 2010, our global team of researchers has been studying Datanova Fusion Hub CDP 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 Datanova Fusion Hub CDP for Data Management Platform 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 Datanova Fusion Hub CDP for Data Management Platform include: United States Navy, a United States based Aerospace and Defense organisation with 612124 employees and revenues of $257.60 billion, Department Of Homeland Security, a United States based Government organisation with 250000 employees and revenues of $89.30 billion, United States Army, a United States based Government organisation with 453551 employees and revenues of $65.25 billion and many others.
Contact us if you need a completed and verified list of companies using Datanova Fusion Hub CDP, 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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Department Of Homeland Security | Government | 250000 | $89.3B | United States | Datanova | Datanova Fusion Hub CDP | Data Management Platform | 2016 | n/a |
In 2016, Department Of Homeland Security engaged Datanova under an SBIR to develop site-specific predictive risk generation and resilience assessment tools, leveraging Datanova Fusion Hub CDP. Datanova Fusion Hub CDP is described as a Data Management Platform used to integrate and prepare data for prototype analytics that supported homeland-security analytics and emergency-response use cases in the United States.
Implementation emphasized data-fusion and customer data platform capabilities within the Data Management Platform category, including multi-source ingestion, identity resolution, canonicalization, enrichment and data preparation for modeling and analytics workflows. The configuration provided a unified data layer for teams focused on predictive risk and resilience assessment, implemented standard data governance constructs such as access controls and audit trails to support analytical workflows, and interfaced with agency feeds and sensor data sources to consolidate situational data for emergency response and resilience planning.
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United States Army | Government | 453551 | $65.3B | United States | Datanova | Datanova Fusion Hub CDP | Data Management Platform | 2017 | n/a |
In 2017, the United States Army engaged Datanova to support the DCGS-A enterprise modernization program by implementing Datanova Fusion Hub CDP as a Data Management Platform for defense intelligence data integration and access. Datanova acted as a subcontractor on work managed through Army Contracting Command Aberdeen Proving Ground, delivering data integration, migration, tagging, and NoSQL and data-architecture services for DCGS-A.
Implementation activity emphasized data ingestion and consolidation, metadata tagging and cataloging, migration scripts and pipelines, and NoSQL-backed data architecture patterns consistent with the Data Management Platform category. The Datanova Fusion Hub CDP was used to centralize and normalize disparate sensor and intelligence feeds, with inferred module usage focused on integration and tagging capabilities described in the subcontract documentation.
Operational scope covered DCGS-A program data flows under ACC Aberdeen Proving Ground oversight, impacting Army intelligence and operations units that consume analytic outputs. Work included establishing standardized tagging schemas and data-architecture guidance to support consistent metadata management and controlled data access across defense intelligence workflows.
The implementation enabled improved data access and analytics for defense intelligence systems by consolidating migrated datasets and applying consistent tagging and NoSQL data structures, supporting downstream analytic consumption and operational situational awareness.
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United States Navy | Aerospace and Defense | 612124 | $257.6B | United States | Datanova | Datanova Fusion Hub CDP | Data Management Platform | 2020 | n/a |
In 2020, the United States Navy engaged Datanova Scientific through an SBIR N201 series solicitation for technology work that aligns with deployment of Datanova Fusion Hub CDP. Public SBIR listings identify Datanova Scientific as a selected vendor for Navy research and prototyping, and it is an inference from those listings that Datanova Fusion Hub CDP, a Data Management Platform, supported the technical scope of the selected projects. The public record does not enumerate specific product modules.
Given the Data Management Platform category, the implementation narrative likely emphasized data fusion capabilities including ingestion pipelines for heterogeneous telemetry, normalization and schema mapping, entity resolution across sensor and experiment streams, time series correlation, metadata management, and an API layer exposing fused datasets for downstream analytics. Datanova Fusion Hub CDP is referenced as the data fusion platform and these capabilities align with typical CDP workflows used to prepare experimental and sensor data for algorithm development and validation.
Operational coverage ties to Navy SBIR research and prototyping efforts within the United States under the N201 series, with inferred system interfaces to research prototypes, instrumentation feeds, and test range telemetry rather than conventional enterprise back office applications. The primary business functions affected are research engineering, program prototyping, and data science teams responsible for experimental analytics and algorithm testing.
Governance and configuration elements consistent with a Data Management Platform deployment in this context would include role based access controls, metadata stewardship, ingest validation rules, and audit logging to control experimental data flows during iterative prototyping. Public documentation for the selection does not disclose deployment topology, named integrations, or detailed rollout sequencing.
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