Service Assurance Analytics

The ability to automate and optimize service assurance has become critical for service providers to be able to cope with the increasing network complexity and data volumes resulting from the ongoing digital transformation and the lead up to 5G.

Helix Analytics is an integrated set of service assurance software tools that apply patented AI and Machine-Learning algorithms on large volumes of data from diverse sources. These tools reveal deep, actionable insights about service behavior and the performance of the underlying network resources, detecting correlations and anomalies that cannot be traced by human inspection. By acting upon these insights, CSPs can automate their processes, achieve a higher level of operational efficiency and provide better services to enterprises and consumers.

Key Benefits

FOCUS
- Focus your NOC, SOC and Engineering attention on critical issues by automatically tagging alarms based on importance and determining the root cause of problems.
PREDICT
- Predict service degradations and SLA violations before they escalate and impact customers. Create massive data forecasts for counters, KPIs and network elements behavior. Trigger automated and semi-automated preventive actions.

EXPEDITE
- Expedite the resolution of fault, performance and service events by locating the source of problems with machine learning algorithms and fast access to analytics insights.
AUTOMATE
- Expedite the resolution of fault, performance and service events by locating the source of problems with machine learning algorithms and fast access to analytics insights.

Use Cases

Helix Analytics includes a suite of predictive, reactive and prescriptive cloud-ready service assurance tools that work together to reduce the volume of data that needs to be acted upon – and the time and effort it takes to fix network outages. This is critical for the success of network function virtualization and 5G; enabling a new era of process automation, improved operational efficiency and an enhanced customer experience.

MACHINE-LEARNING ROOT CAUSE ANALYSIS (ML-RCA)

Locate the source of problems using our patented algorithm that analyzes historical and current alarms and the behavior of network and service resources. ML-RCA automatically suggests clustering and correlation between alarms and points to the potential root-cause.

TREND AND ANOMALY ANALYSIS

Discover hidden issues that might not be detected by active alarms. Analysis of network trends and anomalies detects these outliers before they escalate and impact services.

AUTOMATED THRESHOLDS - CREATION AND MAINTENANCE

Reduce the number of alarm thresholds and the time it takes to deploy new services. Our solution constantly analyzes evolving network patterns, automatically adjusting, creating and optimizing threshold crossing alarms.

FORECASTING - PREDICT YOUR NETWORK BEHAVIOR

Detect and resolve performance issues proactively, with automated data forecasts and trend analysis for any counter, KPI or network element within the system.

PERFORMANCE ANOMALY DETECTION

Uncover irregular behavior in your network by automatically identifying where KPIs are behaving abnormally, or non-trivial KPI-to-KPI relationships.

FROM BIG DATA TO BETTER DECISIONS

Extract value from enormous streams of data collected from diverse sources: xDRs, historical and real-time events and alarms, counters, KPIs and KQIs, thresholds, user actions, and network topology changes.

FAST, CONVENIENT ACCESS TO ANALYTICS INSIGHTS

Get fast access to all modules, views and user actions through a centralized user experience tool. Customize the views to serve your immediate needs as you monitor service levels and investigate network issues.

PRIORITIZE AND FOCUS ON IMPORTANT ALARMS

Focus NOC attention on the most important alarms, suppress the “noise” and shorten the time to resolve critical issues. Each alarm is automatically assigned an ‘importance tag’ based on historic user actions.

Anil Rao,
Analysys Mason

Author of ‘Automated Assurance Systems: Worldwide Market Shares’, Sep 2019

Service Assurance Analytics

The standalone analytics layer has many commercial deployments, and acts as a differentiating proposition for TEOCO.

Monica Paolini,
Senza Fili

Author of ‘Mastering Analytics’

Service Assurance Analytics

For service providers, the ultimate goal of analytics is to improve the subscriber experience or the service quality, in a way that is cost effective and optimizes the use of network resources.

Geoffrey Moore

Author of ‘Crossing the Chasm’

Service Assurance Analytics

Without big data analytics, companies are blind and deaf, wondering out onto the web like deer on a freeway

What Our
Clients Say

Our customers trust in our ability to analyse information, unveil profitable knowledge, and offer products that power smarter operations. At TEOCO, we are client-driven and committed to ensuring substantial return on investment for every project. We truly believe that your success is ours, and we constantly innovate to make sure that you stay at the forefront of industry trends.

Success stories

Helix Analytics Brochure

Download

Service Assurance Analytics - Resources

The Automated Operations Journey: The Practical Benefits of Machine Learning in Root Cause Analysis

How can we help?

For over 25 years, TEOCO has helped network operators run state-of-the-art networks and profitable businesses. Learn how we can help you in the areas critical to the success of modern CSPs.

Contact Us

Service Assurance Analytics

Use Cases