List of Dataminr Customers
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Since 2010, our global team of researchers has been studying Dataminr 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 Dataminr for Predictive Analytics 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 Dataminr for Predictive Analytics include: United Nations, a United States based Non Profit organisation with 37000 employees and revenues of $53.00 billion, Deutsche Boerse Group, a Germany based Banking and Financial Services organisation with 14515 employees and revenues of $8.24 billion, Baylor University, a United States based Education organisation with 4000 employees and revenues of $1.10 billion and many others.
Contact us if you need a completed and verified list of companies using Dataminr, 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.
The Dataminr customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Baylor University | Education | 4000 | $1.1B | United States | Dataminr | Dataminr | Predictive Analytics | 2020 | n/a |
In 2020, Baylor University deployed Dataminr First Alert to support security operations and travel safety, using Dataminr as a Predictive Analytics tool to monitor breaking events affecting students and faculty traveling abroad. The implementation oriented monitoring and alerting toward real time incidents that could affect campus travelers, establishing Dataminr as a primary stream of situational awareness for university security and travel stakeholders.
The rollout emphasized functional capabilities common to Predictive Analytics solutions, including real time alert ingestion, prioritized incident scoring, and notification routing into security and travel safety workflows. Configuration centered on triage workflows and alert escalation so campus security teams and travel coordinators could rapidly evaluate and act on alerts related to overseas travel and emergent public health developments.
Operational coverage included security operations and the university travel safety program, with alerts used to identify high risk events that required intervention. Dataminr First Alert was explicitly used to repatriate travelers early during the COVID-19 outbreak and to improve travel risk triage and response times, demonstrating the systems role in operational decision making for student and faculty safety.
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Deutsche Boerse Group | Banking and Financial Services | 14515 | $8.2B | Germany | Dataminr | Dataminr | Predictive Analytics | 2018 | n/a |
In 2018, Deutsche Boerse Group deployed Dataminr Pulse as a Predictive Analytics application to augment its security operations. The deployment provided real-time alerts and geovisualization for the companys global physical security team, covering approximately 60 locations and focusing on event security and cyber monitoring.
Dataminr was configured to surface high-fidelity event signals and deliver geospatially contextualized alerts to operations centers, enabling analysts to triage incidents rapidly. Functional capabilities implemented included real-time alerting, geovisualization of events, and cross-functional incident notification workflows, aligning with standard Predictive Analytics use cases for situational awareness and threat detection.
Operational scope centered on the global physical security organization, with processes adapted to integrate Dataminr alerts into event response playbooks and cross-team coordination channels. The deployment reduced incident response time and improved cross-functional support for event security and cyber monitoring, enabling faster, more actionable decision-making across the security organization.
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United Nations | Non Profit | 37000 | $53.0B | United States | Dataminr | Dataminr | Predictive Analytics | 2019 | n/a |
In 2019, the United Nations partnered with Dataminr via UN Global Pulse and deployed Dataminr First Alert to support public sector humanitarian and crisis response. The globally scoped implementation was coordinated from the United Nations in the United States and configured to deliver real time alerts to thousands of UN personnel across multiple field operations.
Dataminr First Alert was provisioned as a Predictive Analytics application to enhance early incident detection and situational awareness. Configuration focused on continuous signal monitoring, automated real time alerting, and categorization workflows aligned with humanitarian response priorities, integrating those outputs into operational decision making for field teams and coordination centers.
Operational coverage extended across multiple humanitarian responses and regions, with alerts routed to UN situational awareness operations and front line responders to accelerate aid delivery. The deployment emphasized direct alerting to thousands of personnel and coordination nodes, preserving event provenance and time sensitive intelligence for crisis management.
Rollout and governance were executed through the UN Global Pulse partnership, aligning tool usage with public sector crisis response processes and operational protocols. The United Nations use of Dataminr improved early detection of field incidents and accelerated aid delivery and situational awareness in multiple humanitarian responses.
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Buyer Intent: Companies Evaluating Dataminr
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