Latest Version
2.25.113 Safe to install
2.25.113 Safe to install
Dataminr provides a valuable service to its clients, ensuring they are promptly informed about high-impact events and critical breaking information. This allows them to make timely decisions and maintain a competitive edge.
Real-Time Alerting:
- Receive real-time alerts that are tailored to your needs, ensuring you stay informed about breaking events.
- Gain access to additional details on unfolding events, allowing you to have a comprehensive understanding of the situation.
Visualization and Actionability:
- Alerts are categorized based on their type, importance, and data source, making it easier for you to prioritize and take appropriate action.
- Easily identify important and relevant information at a glance, saving you time and effort.
- Enhance your decision-making process with the inclusion of images and videos, providing additional context and insights.
Overview
Dataminr is a Freeware software in the category Business developed by Dataminr, Inc..
The latest version of Dataminr is 2.25.113, released on 07/04/2024. It was initially added to our database on 01/17/2024.
Dataminr runs on the following operating systems: iOS.
Users of Dataminr gave it a rating of 5 out of 5 stars.
Pros
- Real-time alerts for breaking news and events, enabling timely decision-making.
- Advanced machine learning algorithms that analyze large volumes of data quickly.
- Easy-to-use interface that allows for quick navigation and search capabilities.
- Ability to track specific keywords or topics relevant to users' needs.
- Integrates with various business tools and platforms for streamlined workflow.
Cons
- Pricing may be high for small businesses or individual users.
- Can generate a high volume of alerts, which may overwhelm users if not filtered properly.
- Requires a stable internet connection for effective use, which may be a limitation in some areas.
- Learning curve for new users to fully utilize all features and functionalities.
- Dependence on external sources can lead to inaccuracies in data if the sources are unreliable.
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