The Guavus Reflex® Platform

  • Explore and discover

    The processed data can be queried and analyzed both through native platform exploration tools, as well as via third-party analysis and visualization applications

  • Ingest and Normalize

    The Reflex data collectors have been purpose-built to continuously process the highest possible volumes of machine-generated data streams for analytic and prescriptive applications

  • Contextualize and Summarize

    After the data streams have been normalized, the collected data is correlated and enriched to present network, user, device and content interactions

  • Recognize patterns

    Powerful correlation and analytic algorithms rapidly identify and quantify patterns across data sets, locations and applications

  • Target action

    The Reflex rules engine makes it possible to define closed loop responses based on prescriptive analytics and prospective outcomes. The actions range from automating network functions to customizing user experience in near real-time.

  • Explore and discover

    The processed data can be queried and analyzed both through native platform exploration tools, as well as via third-party analysis and visualization applications

  • Ingest and Normalize

    The Reflex data collectors have been purpose-built to continuously process the highest possible volumes of machine-generated data streams for analytic and prescriptive applications

The Guavus Reflex® platform was built from the ground up to address the size and velocity of streaming and business data being generated from the world’s biggest networks. Our unique “analyze-first, store-later” model provides customers the ability to collect, correlate and fuse network, business and any other operational or external data revealing previously undiscoverable insights in real time. Users have the information they need, when they need it, to make the best possible decision. Guavus Reflex includes hundreds of prebuilt adaptors to collect and analyze data – structured and unstructured – network and business – machine and human generated

Open Source Innovation

Guavus has always been at the forefront of big data analytics innovation, leveraging the latest Open Source analytics technologies, including Apache Hadoop, Spark and Yarn at its core, to deliver a carrier-grade, scalable, low-latency, highly distributed platform. With Spark embedded in the Guavus Reflex platform, Guavus delivers advanced analytics capabilities to customers and enables continuous real-time streaming analytics within seconds of data being collected.

The Guavus Reflex platform can be deployed on premise, on bare-metal or in a fully virtualized environment and complements traditional business intelligence, ‘data-warehouse’ and ‘data-lake’ infrastructures for maximum flexibility. It is a single data platform designed to support applications across multiple business functions including planning, operations and marketing.

Machine Learning for Next Generation Analytics Applications

The Guavus Reflex platform includes an extensive and reusable set of advanced algorithms such as, base-lining, root cause analysis, anomaly detection, prediction & inference, and correlation & commonalities.  When mapped to specific business problems, these algorithms enable more effective and sophisticated predictive modeling and valuable business insights. Each analytics function is made available to a new generation of light-weight, domain specific, dynamic data driven analytics applications for faster and better decision making.

Data Factory: Transforming Data into Information

The Reflex Data Factory™ layer provides a simple way to interact with the complexity of big data. Through a set of rich APIs the core functions of the Guavus Reflex platform are exposed through this abstraction layer. The Reflex Data Factory™ taps into the raw flow of data, computing and storage layers, deep analytics enabling the creation of multi-dimensional profiles and enabling rapid, data-driven applications developments.

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