Telco and cable MSOs seek to maximize the lifetime value of each subscriber. From new customer acquisition, support & billing inquiries, proactive upgrades to minimizing churn. They must reduce those cutting the cord from traditional broadcast television and better monetize those who have chosen over-the-top (OTT) services. Operations has to improve utilization of existing network infrastructure and wisely invest new capital. They must capitalize on edge computing / IoT requirements by offering innovative services that leverage existing network and emerging 5G infrastructure.
Invest in an architecture that scales to millions of subscribers and makes it easy to extract business insight. Benefit from analytics that unlock granular subscriber activity to provide differentiation across all aspects of the customer lifecycle. Wisely deploy new capital by understanding bandwidth and service consumption. Keep customers delighted while maximizing operating profit. Launch new Edge Computing / IoT services to build new lines of revenue.
Software companies, including those developing SaaS, mobile apps and other web services, must develop personalized, data-driven experiences able to attract new global customers. Their customers demand instant access to data, accessible through a portal or otherwise, to benefit to the fullest extent from paid software services. Similarly, consumer electronics manufacturers have demanding software requirements with the growing number of Internet connected products that must collect data, make real-time decisions and scale for millions of users.
Tackle many of the most pressing performance and data localization requirements associated with cloud-native, distributed application design. Confidently attract new customers regardless of where users reside and improve application adoption. Reduce churn by delivering the highest levels of customer satisfaction and user engagement.
Industrial manufacturers must gain a competitive advantage by incorporating Industry 4.0 principles requiring new levels of data exchange and process automation. Connected machines and sensors allow for automated, real-time monitoring and yield new insights for predictive maintenance and improving manufacturing uptime – boosting operational efficiency and operating profits. In addition, manufacturers of industrial engines, turbines, airplanes and aerospace equipment need to monitor and make sense of the enormous volume of incoming data generated by such sources.
Improve the efficiency and cost structure of your operations. Make sense of very large volumes of data generated from sensors, machines and traditional applications in real-time. Improve reliability, service continuity, cost of ownership and overall safety – while addressing the different nuances required to optimize processes uniquely at local, regional and global levels.
Government agencies require sophisticated data analysis across a diverse range of areas including those related to transportation, law enforcement, utilities, revenue collection, public health and environmental protection. Data sources required by agencies – such as infrastructure, utility consumption, and its citizens – are often large and disparate. This makes it difficult to access relevant data in a timely manner and gain insight. In addition, military branches are increasingly connected and rely on real-time data to make critical decisions regarding intelligence, its soldiers and munitions.
Easily connect geographically separated government data. Leave data where it resides to avoid new privacy concerns. Intelligently deploy capital toward new infrastructure such as roads, airports and bridges based on traffic usage patterns. Measure and predict environmental impact from sensors as part of smart city initiatives. Analyze license plate records with location-based services to assist with criminal investigations. Securely analyze military data generated from connected wearables, tanks, drones and other devices in order to conduct operations.
Transportation and logistics providers need to optimize the large costs associated with managing their fleet. Asset tracking of machines and sensors, combined with location-based data and ERP/CRM applications, help to manage costs associated with fleet purchases, maintenance, inventory management, insurance and training. Vehicles, ships, trains, and planes generate large amounts of data derived from GPS, cellular, RFID and Bluetooth connections.
Optimize costs associated with fleet management. Calculate more efficient routes, proactively anticipate maintenance needs, monitor temperature/humidity, anticipate delivery times and improve safety. Optimize supply chain operations by connecting data across geographically distributed warehouses. Move products to proper locations while also identifying inventory theft and operator errors.