Industries

VIA by Vitria enables companies to leverage their investments in IoT, Big Data and Machine Learning to close the gap between technology promises and real business solutions.

The confluence of cloud, intelligent devices, powerful networks and advanced analytics provides opportunities for enormous data-driven operational improvements. Streaming data combined with advanced analytics can deliver real-time visibility into processes, deeper insights, and better predictions in order to take smarter actions.

Will you harvest the power of the data to compete successfully in your industry?

INDUSTRY TRENDS >

  • Energy Utilities

    Sensors, smart meters, and smart grid generate a massive amount of data. With advanced analytics, energy utilities can harness the data to integrate improve service operations management, prevent outages, optimize supply/demand, and more.

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  • Manufacturing

    Complex processes and scores of systems and sensors create increasing volumes of data. Companies are harvesting value from batch and streaming data by leveraging analytics and real-time event processing. Advanced analytics can provide operational insights that can be applied to the manufacturing process to reduce cost, increase productivity, and transform operational line management.

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  • Telecommunications

    Today, Telco Service Providers are facing steep competitive pressures by searching for new revenue sources and implementing new services to improve subscriber experiences. This reduces churn and results in lower operational costs. Agile analytics, which quickly processes real-time data, automates analysis of batch and streaming data resulting in real-time event monitoring and exception-based management. Agile analytics enables predictive maintenance which lowers the overall cost of service and improves service levels for a better end user experience.

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  • Retail

    Retailers need to protect margins and increase the volume of goods sold – reaching more customers with more products. Analytics helps retailers harvest valuable insights from all the data to make changes from the back office to the front of the store. Analytics help retailers decrease loss, increase revenue and improve profit margins.

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