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Maximize network quality and profitability with AI-driven automation and telecom data analytics

Telecom network data analytics

Analyze network performance and IoT telecom data, optimize your investments, maximize network quality and service, and innovate faster. Transforming your business with actionable insights from SAS reduces customer churn, increases market share and sustains long-term profitability.



Stay competitive by transforming your business with telecom network data analytics

Discover how SAS can help you improve all aspects of planning, building and operating a communications network. Make the changes that will transform your business, improve productivity and enhance the customer experience with AI-driven automation, machine learning and trustworthy insights.

Network quality & service assurance

Improve telecom network planning, deployment, maintenance and optimization using trustworthy AI for AIOps and machine learning for MLOps.

Network operations

Minimize costs and go beyond network anomaly detection – predict and resolve anomalies before they happen with intelligent, automated operations.​

Customer experience

Gain real-time insights into customers’ needs and prompt customer care teams with the right actions to reduce customer churn.

Innovation & productivity

Speed up the design of new revenue streams, including personalized products and services, with insights from customer data.

The value of telecom network data analytics solutions

  • 53%

    A North American communications provider achieved a 53% YOY reduction in customer complaints.

  • 2021 winner

    Telefónica España, a SAS Hackathon 2021 winner, resolved capacity problems and developed early detection of network congestion issues.

  • $13 million

    An Italian communications service provider used SAS to move from reactive to proactive maintenance and save US$13 million annually.

  • 40%

    A leading Iberian communications service provider improved network rollout time by 40% compared with traditional design methods and gained 90% faster forecast production.

  • 30%

    A communications service provider in southern Europe migrated away from traditional models to heuristic models using analytics, enabling 30% more efficient network expansion planning.

  • 2023 winner

    Telekom Srbija, a SAS Hackathon 2023 winner, developed a solution to optimize energy consumption while providing more comfortable and healthier workspaces for employees.

    SAS Viya: The data and AI platform for your TMT business

    Increase productivity, deliver exceptional customer experiences, accelerate innovation and achieve market growth with faster, more productive data and AI you and your customers can trust.


    Recommended resources for telecom network data analytics

    Video

    SAS Event Stream Processing

    E-book

    5G Disaggregated NWDAF Network Data Analytics Function

    Webinar

    How to Develop Better Forecasts With SAS Visual Forecasting

    Solution brief

    AI and Machine Learning for Network Analytics


    SAS is a leader in analytics solutions

    SAS is a Leader in The Forrester Wave:
Real-Time Interaction Management, Q1 2024

    SAS has been recognized in the 2024 Gartner® Magic Quadrant for Data Science and Machine Learning

    SAS is a Leader in the inaugural report The Forrester Wave: AI Decisioning Platforms, Q2 2023


    Featured products

    Learn more about our telecom network analytics products for telecom data management and improved quality, service and market share.

    • SAS Event Stream Processing

      Use machine learning and streaming analytics to uncover insights at the edge and make real-time, intelligent decisions in the cloud.

      • Seamless integration.
      • Intuitive design environment.
      • Instant insights, faster response.
      • Unified management and monitoring.

      SAS Visual Statistics

      Easily build and adjust huge numbers of predictive models on the fly and in the cloud.

      • Interactive data exploration.
      • Descriptive and predictive modeling.
      • Custom chatbot creation.
      • Data access, preparation and quality.
    • SAS Visual Analytics

      Discover and explore relationships in data, and share insights.

      • Interactive reporting.
      • Visual discovery.
      • Self-service analytics.
      • Scalability & governance.