Streaming Use Cases
With speed emerging as the new currency of business, stream processing is becoming pervasive and required for competitiveness in the new age. Below are a few use cases where real-time data processing has been applied:
- Companies are monitoring blockchain networks such as Bitcoin and Ethereum to gather intelligence and inform their decision making processes. Streamly’s open Bitcoin streams.
- Real-time global payment network using blockchain technology
- Blockchain Real-Time Clearing and Settlement
- Blockchain transactions with real-time cyber controls
- Real-time data processing is useful for managing natural resources.
- Stream processing provides valuable to law enforcement as well.
- Monitoring and supervision of regulated activities for online gambling operators
- Data from hospitals, accident reports, and other sources can provide a comprehensive picture of community health trends.
Science and Research
- Real-time Storm Detection and Weather Forecast Activation.
- Query processing and predictive analytics over streams of big aviation data.
- Aircraft health and “black box” monitoring in real-time.
- Real-time processing makes satellite information much more useful in time-critical applications such as fire and flood detection.
Oil & Gas
- Real-time monitoring of pumps & rigs
- Racking flow-process to design better drilling and pumping systems.
- Monitoring and real-time response to a natural disaster that might affect oil and gas pipeline infrastructure
- Boost productivity by sharing drilling information via the cloud in real-time.
- Stream processing makes real-time fraud detection possible.
- Data Integration (sales, clicks, visits)
- Real-time order processing
- Real-time user targeting based on segment, demographics and preferences
- Real-time bots detection on ecommerce sites. Track internet threats from varied sources around the web.
- Intelligent supply chain—retail companies build intelligent supply chains by placing sensors on items to track and monitor them proactively
- Smart logistics with real-time end-to-end tracking of delivery and trucks
- Tracking consumer moods in real-time using smart cameras and mannequins for in-store advertising.
- Biometrics aim at collecting and analyzing data from medical devices that collect vitals from patients outside care facilities.
- Smart hospitals collect data and readings from hospital devices (vitals, IVs, MRI, etc.) and analyze in real-time in order to make quick decisions.
- Fast data aggregation to provide clinicians with the data they need to make medical decisions.
- Real-time monitoring of sensor data in machines and smart devices.
- Real-time analysis of integrated microprocessor data.
- Stream processing for dynamic energy management in smart grids.
Real-time Mobile Notification
- Send push notifications to smart devices in real time
- Real-time message processing
- Real-time antenna optimization based on user location data
- Real-time charging and billing based on customer usage and the ability to populate up-to-date usage dashboards for users
- Optimized advertising for video/audio content based on what users are consuming.
- Calculate priorities in real-time to know which ads drive traffic to websites.
- Track ad campaigns to understand consumer behavior in relation to different advertising mediums.
- Target customer with relevant advertisements.
- Predict buyer behavior and sales.
Banking and Financial Services
- Real-time data processing provides banks and finance companies the opportunity to prevent fraud to a large extent.
- Understand customers across channels.
- Real-time processing helps to detect fraudulent refunds.
- Stream processing can enhance the analysis and model quality in risk management.
Internet of Things
- Smart homes and smart cities collect data and analyze in real-time in order to make quick decisions.
- Online monitoring of power lines
- Integration of distributed energy sources
- Integration of electric vehicles