Augmented
Streaming Analytics
for real-time Intelligence

Event Stream Processing and real-time analytics are becoming the natural choice for a growing set of business scenarios.
Here some High Value Use Case in different Industries

Event Stream Processing is constantly growing and, most importantly, is spreading on business cases previously only related to batch data processing. Event stream processing has been proving essential on three use cases categories:

Where performances and throughput are critical factors and decisions must be taken within milliseconds: Cybersecurity, Sports Telemetry, Fraud Detection, Safety, Intelligence

    Where computation on event-based data sources (data streams) is carrying a significant – or crucial – part of the value coming from the resulting analytics: IoT based data sources (Automotive, Industry 4.0, Home Automation applications), Mobile App, Clickstreams.

    Where the business case involve the transformation/aggregation/transfer of data residing in heterogeneous sources with serious constraints and limitations, such as mainframes and legacy systems:  Mainframe off-loading, supply chain integration, core business processes.

    HERE SOME OF USE CASES

    Insurance

    Finance & Banking

    SECURITY

    AUTOMOTIVE

    RETAIL/ ECommerce

    SMART CITIES

    SMART MANUFACTURING

    ENERGY & UTILITIES

    LOGISTICS

    TELCO

    INSURANCE

    Insurance companies can benefit from streaming analytics. Taking advantage of the rapid growth of telematics and connected devices, real-time data can be collected and combined to quickly evaluate and price risk, offer a customized deal, reduce fraud, and streamline the claims process. Furthermore, blending event stream processing with machine learning and artificial intelligence companies can start thinking about predictive and prescriptive analytics, gaining a clear competitive advantage and catching new opportunities in the market. A few use case samples include:

     

    • driver behavior-based price optimization
    • real-time diagnostics and predictive maintenance on corporate fleet
    • customer Lifetime value (CLV) prediction
    • healthcare insurance optimization

    Find what we can do for you

    FINANCE & BANKING

    Finance&Banking industry manages millions of transactions a day with a growing pool of data to extract from. However, this information tends to remain fragmented across a variety of platforms making it difficult to quickly gather significant and valuable insights. Thanks to our platform, data coming from a multitude of heterogeneous sources can be ingested, processed and integrated in real-time with immediate benefits. Here some practical use cases:

     

    • move computational responsibilities from legacy systems to modern, agile infrastructures (mainframe offloading)
    • fraud detection
    • trace live transactions
    • monitor business activity across channels, systems, and silos
    • alert teams to issues and trends
    • engage customers in a meaningful way

    Find what we can do for you

    SECURITY

    In this field, immediacy makes the difference. Security companies must be able to recognize that something is happening and act on it immediately and instantly detect suspicious patterns that may otherwise go undetected. Obviously, the traditional method of collecting data and analyzing it after the fact would be useless, because by the time issues were discovered, the damage could already be done. In a few words, in urgent situations, historical data and batch processing simply won’t cut it. On the contrary, a real-time data streaming platform allows companies to take action before any serious damage occurs. Following some use case sample:

     

    • detect potentially suspicious patterns
    • identify data exfiltration by attackers
    • analyze network traffic to spot trends indicating potential attacks
    • threat hunting

      Find what we can do for you

      Automotive

      As IoT is transforming automotive business, connected vehicles are able to stay in continual, real-time communication with the surrounding connected ecosystem. Connected cars provide a steady stream of data on vehicle, engine, driving behavior and ambient conditions: extracting valuable information from this mass of mixed data generated at incredible velocity and volumes is a challenge that can be won. Event stream processing allows to capture, analyze and redistribute this huge data-in-motion to the relevant recipients, in real-time. This leads to having instantaneous insights on vehicle performance with a series of consequent benefits. Here some use case samples:

       

      • timely assistance and repair
      • real-time car performance check-up
      • providing vehicle data to third parties: insurance and assistance operators
      • minimize manufacturing risks and make preventive maintenance

        Find what we can do for you

        RETAIL/ ECOMMERCE

        E-commerce is one of the fast-growing business models nowadays because shopping from anywhere and anytime has become the norm. As this generates a huge amount of data, streaming approach is essential to enable proactive care and manage promptly the stream of data arriving from millions of connected devices. The data-in-motion analysis allows to improve customer experience, increase operational efficiency, prevent out-of-stock issues, have end-to-end, real-time visibility into the supply chain, and allocate staff based on real-time demand. Below some use case samples:

         

        • manage inventory
        • enhanced Shopping Pattern Analysis
        • predict future operations plans
        • implement dynamic pricing and sales strategies
        • identify fraud-related activities and any threats to its processes
        • optimize line planning

          Find what we can do for you

          SMART CITIES

          Data are the lifeblood of smart cities, that are using real-time analytics to improve, monitor and anticipate urban phenomena in new ways. With the advent of the IOT, it’s also possible to keep track of what is happening on any device across the city. Whether you need to monitor traffic light systems or find out how many cars are traveling through the city on any given day, event stream processing helps you to processed multiple streams at once, in order to uncover patterns and get insights to extract valuable information. Following some use cases:

           

          • transport and traffic Management (route optimization)
          • enhance public safety
          • optimize waste collecting
          • tracking parameters for a healthy environment

            Find what we can do for you

            SMART MANUFACTURING

            IoT and big data analytics technology are transforming industrial performance, making operations more profitable, and sustainable. With streaming analytics, it’s possible to integrate, analyze and visualize operational data useful for several use cases, such as key performance indicator (KPI) optimization, knowledge generation, diagnosis, prediction, feedback to design or decision support.
            Data unlock new possibilities for the manufacturing industry and allow to automate large-scale processes and speed up execution time. Following some use case examples:

             

            • fault prediction and preventive maintenance
            • supply chain risk management
            • acceleration of products innovation
            • better machine utilization

              Find what we can do for you

              ENERGY & UTILITIES

              The demand for clean and renewable energy and the move to smart grids create new business models requiring new data infrastructure incorporating IoT. Utility companies must be capable of high-volume, high-speed data management and advanced analytics which are designed to transform data into actionable insights: that’s why complex event processing and stream computing are the key way to fit this need. Here some use case samples of streaming analytics value in this field:

               

              • consumption & production forecasts
              • predictive maintenance of the distribution network
              • energy deal analytics
              • understand clients energy use
              • operation and reliability of the grid improvement

                Find what we can do for you

                TELCO

                With the rapid growth of smartphones and 5G networks, the influx of data could be massive and unmanageable. In this case, Telco companies can proactively respond using streaming analytics that can continuously ingest, correlate and analyze multiple streams of data, at millions of events per second from multiple sources and in different formats. Radicalbit Platform is able to manage this sheer volume of data
                and support Telco companies to:

                 

                • detect frauds such as illegal access, authorization, theft or fake profile
                • customer Churn Analysis
                • clickstream Analysis
                • customer lifetime value analyzing purchasing behavior

                  Find what we can do for you

                  LOGISTICS

                  Big Data has become a trend in the logistics industry: companies need to analyze and coordinate the logistical function and supply chain to ensure smooth running of operations in a timely and cost-effective manner. The result is a huge amount of data to be handled continuously. To conduct it properly, event stream processing helps Logistics organizations to run operations with agility and efficiency by integrating and processing high-velocity sensor data and enterprise data and delivering time-sensitive information where needed. Here the benefits of event stream processing solutions:

                   

                  • data integration from different sources
                  • complete and real-time visibility into operations
                  • route optimization with tight control on wastage
                  • real-time inventory to maximize warehouse capacity

                    Find what we can do for you

                    IOT General Scenario

                    Companies services are relying more and more on connected devices: the IoT related business cases are requiring to process events as fast as they come in,, getting results in near-real time. Streaming technology is the most natural choice in order to:

                    • Gather data streams coming from connected devices
                    • Transform & Enrich the data combining such streams with other internal sources (i.e. CRM data, Banking statements, etc)
                    • Apply Machine learning techniques and A.I.
                    • Publish the processed data to other systems
                    • Produce Descriptive, Diagnostic, Predictive and Prescriptive analytics

                    Data Integration

                    Combining multiple and heterogeneous data sources is one of the most critical challenges for IT departments. Addressing the “offloading” use case is becoming a priority for companies willing to get the most from their data. A good offloading case will include:

                    • Getting data out of legacy system in near real-time
                    • Move data in a modern and efficient infrastructure
                    • Process data in near real-time in order to enable several business scenarios (among them: customer 360, context aware promotions, supply chain optimization… etc)
                    • Enable the application of machine learning techniques and A.I. within the data processing pipeline (e.g. predictive maintenance, smart grid, smart supply chain)

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                      Insurance

                      Insurance companies can benefit from streaming analytics. Taking advantage of the rapid growth of telematics and connected devices, real-time data can be collected and combined to quickly evaluate and price risk, offer a customized deal, reduce fraud, and streamline the claims process. Furthermore, blending event stream processing with machine learning and artificial intelligence companies can start thinking about predictive and prescriptive analytics, gaining a clear competitive advantage and catching new opportunities in the market. A few use case samples include:

                       

                      Find what we can do for you

                      Contact us

                      Finance & Banking

                      Finance&Banking industry manages millions of transactions a day with a growing pool of data to extract from. However, this information tends to remain fragmented across a variety of platforms making it difficult to quickly gather significant and valuable insights. Thanks to our platform, data coming from a multitude of heterogeneous sources can be ingested, processed and integrated in real-time with immediate benefits. Here some practical use cases:

                       

                      Find what we can do for you

                      Contact us

                      Security

                      In this field, immediacy makes the difference. Security companies must be able to recognize that something is happening and act on it immediately and instantly detect suspicious patterns that may otherwise go undetected. Obviously, the traditional method of collecting data and analyzing it after the fact would be useless, because by the time issues were discovered, the damage could already be done. In a few words, in urgent situations, historical data and batch processing simply won’t cut it. On the contrary, a real-time data streaming platform allows companies to take action before any serious damage occurs. Following some use case sample:

                       

                      Find what we can do for you

                      Contact us

                      Automotive

                      As IoT is transforming automotive business, connected vehicles are able to stay in continual, real-time communication with the surrounding connected ecosystem. Connected cars provide a steady stream of data on vehicle, engine, driving behavior and ambient conditions: extracting valuable information from this mass of mixed data generated at incredible velocity and volumes is a challenge that can be won. Event stream processing allows to capture, analyze and redistribute this huge data-in-motion to the relevant recipients, in real-time. This leads to having instantaneous insights on vehicle performance with a series of consequent benefits. Here some use case samples:

                       

                      Find what we can do for you

                      Contact us

                      Retail / E-commerce

                      E-commerce is one of the fast-growing business models nowadays because shopping from anywhere and anytime has become the norm. As this generates a huge amount of data, streaming approach is essential to enable proactive care and manage promptly the stream of data arriving from millions of connected devices. The data-in-motion analysis allows to improve customer experience, increase operational efficiency, prevent out-of-stock issues, have end-to-end, real-time visibility into the supply chain, and allocate staff based on real-time demand. Below some use case samples:

                       

                      Find what we can do for you

                      Contact us

                      Smart Cities

                      Data are the lifeblood of smart cities, that are using real-time analytics to improve, monitor and anticipate urban phenomena in new ways. With the advent of the IOT, it’s also possible to keep track of what is happening on any device across the city. Whether you need to monitor traffic light systems or find out how many cars are traveling through the city on any given day, event stream processing helps you to processed multiple streams at once, in order to uncover patterns and get insights to extract valuable information. Following some use cases:

                       

                      Find what we can do for you

                      Contact us

                      Smart Manufacturing

                      IoT and big data analytics technology are transforming industrial performance, making operations more profitable, and sustainable. With streaming analytics, it’s possible to integrate, analyze and visualize operational data useful for several use cases, such as key performance indicator (KPI) optimization, knowledge generation, diagnosis, prediction, feedback to design or decision support.
                      Data unlock new possibilities for the manufacturing industry and allow to automate large-scale processes and speed up execution time. Following some use case examples:

                       

                      Find what we can do for you

                      Contact us

                      Energy & Utilities

                      The demand for clean and renewable energy and the move to smart grids create new business models requiring new data infrastructure incorporating IoT. Utility companies must be capable of high-volume, high-speed data management and advanced analytics which are designed to transform data into actionable insights: that’s why complex event processing and stream computing are the key way to fit this need. Here some use case samples of streaming analytics value in this field:

                       

                      Find what we can do for you

                      Contact us

                      Logistics

                      Big Data has become a trend in the logistics industry: companies need to analyze and coordinate the logistical function and supply chain to ensure smooth running of operations in a timely and cost-effective manner. The result is a huge amount of data to be handled continuously. To conduct it properly, event stream processing helps Logistics organizations to run operations with agility and efficiency by integrating and processing high-velocity sensor data and enterprise data and delivering time-sensitive information where needed. Here the benefits of event stream processing solutions:

                       

                      Find what we can do for you

                      Contact us

                      Telco

                      With the rapid growth of smartphones and 5G networks, the influx of data could be massive and unmanageable. In this case, Telco companies can proactively respond using streaming analytics that can continuously ingest, correlate and analyze multiple streams of data, at millions of events per second from multiple sources and in different formats. Radicalbit Platform is able to manage this sheer volume of data
                      and support Telco companies to:

                       

                      Find what we can do for you

                      Contact us