Guide to Real-time Anomaly Detection for Enterprise Data - StreamAnalytix

White Paper

Guide to Real-time Anomaly Detection for Enterprise Data

Anomaly detection forms an essential component of real-time analytics, which help enterprises gain significant actionable insights across a wide variety of application domains. However, detecting anomalies accurately can be difficult. As systems evolve, behaviors change, and software gets updated, the system needs to be upgraded continuously to detect an anomaly effectively.

This white paper explores the know-hows of big data anomaly detection in real-time.

Highlights:

  • The importance of big data anomaly detection
  • How to build an anomaly detection model
  • A view of the platform approach to real-time anomaly detection
  • How StreamAnalytix can help in real-time anomaly detection

    By submitting this form you agree to have read the privacy policy and receive our emails.

      Please read our privacy policy before submitting your contact information. By submitting this form you agree to have read the policy and receive our emails. You will have the option to unsubscribe at any time.

      You may also be interested in…

       

      White Paper

      Harnessing IoT data in an always-connected world

      As the Internet of Things (IoT) generates incessant data, organizations need smarter and more efficient ways to manage and process…

      White Paper

      Getting Real Value from Real-time Streaming Analytics

      Enterprises and IoT applications can benefit immensely from real-time streaming analytics by visualizing the business in real-time, cutting preventable losses, detecting urgent situations…

      Case Study

      Real-Time Driver Profiling & Risk Assessment for Usage-based Insurance with StreamAnalytix

      To keep up with the new digital consumer and remain competitive, the auto insurance industry is increasingly investing in connected…

      Case Study

      Real-time insider threat detection using machine learning for a Fortune 500 bank

      Learn how a large US-based bank used predictive analytics and machine learning to identify and prevent insider information security threats…

      webinar

      Anomaly Detection with Machine Learning at Scale (India)

      Organizations are collecting massive amounts of data from disparate sources. However, they continuously face the challenge of identifying patterns, detecting anomalies, and projecting future trends based on large data sets.

      webinar

      Anomaly Detection: Real World Scenarios, Approaches, and Live Implementation

      Detecting anomalous patterns in real-time data can lead to significant actionable insights in a wide variety of application domains, such as…

      Start your free trial

      of StreamAnalytix

      TRY NOW
      Schedule a Demo