Turning PM and Probe Data into Value

By integrating Probe data and Performance Management data, your teams can turn data into business value – from day one. Read the article and learn more


Turning Data into Value: How Integrating Probe and Performance Management Data Creates a Virtuous Cycle

Enhance network quality, reduce operational costs, and improve customer satisfaction by unlocking the value in your existing network data. By integrating Probe and Performance Management data, your teams can resolve issues faster, gain complete visibility across domains, and make more efficient use of technical resources - delivering measurable business value from day one.

The good news? A practical approach to integrating your existing network data can deliver immediate benefits while creating a foundation for future growth.

The Challenge of Disconnected Data

Many operators today face a common scenario: different teams using separate tools to monitor the same network from different angles. Different people across your organization analyze the network from different angles - some examine aggregated statistics from network nodes, while others focus on probe data that captures actual subscriber traffic.

When service issues arise, your teams waste valuable time coordinating manually - sending tickets back and forth and consulting various colleagues to piece together what's happening. This disconnect directly impacts your resolution times and customer experience:

  • Longer time to identify and resolve issues
  • Incomplete visibility across network domains
  • Difficulty determining the true impact on customer experience
  • Inefficient use of technical resources

One operator recently described spending over seven hours troubleshooting a service degradation that affected YouTube streaming in a specific region. The problem? The data needed to pinpoint the issue was scattered across multiple systems, making it difficult to see the complete picture.

Bringing Together the Best of Both Worlds

Performance Management data and probe data deliver complementary insights that strengthen your operational intelligence.

Performance Management Data delivers statistical aggregates from network elements, including:

  • Internal node metrics like memory utilization and processing load
  • Energy consumption data
  • Traffic summaries across all subscribers
  • Overall service quality indicators

Probe Data captures actual signaling between network elements, revealing:

  • Individual subscriber experiences
  • User location information through subscriber identifiers
  • Session-level quality metrics
  • End-to-end service flows

When properly integrated, these complementary data sources create a complete view of your network's performance and your customers' experience.

Starting Small for Meaningful Results

Our approach to integrating probe and Performance Management data delivers operational intelligence that directly impacts your business. The good news is that you don't need a massive, all-or-nothing investment to start realizing benefits. The most successful operators are taking an incremental approach that delivers immediate value while building towards a more comprehensive solution.

Rather than trying to ingest all possible data at once, focus on specific use cases that deliver clear business value. For example:

  1. Service Quality Management: Integrate just the data needed to monitor key services like YouTube streaming or VoLTE call quality
  2. 5G Fixed Wireless Access Service Assurance: Combine the strengths of customer experience analytics and network performance metrics to deliver a powerful, end-to-end view of service quality.
  3. Regional Service Assurance: Focus on specific geographic areas experiencing customer complaints

This Targeted Approach Allows You To:

  • Minimize upfront investment
  • Demonstrate tangible results quickly
  • Build internal support for further integration
  • Learn and adjust as you go

As one operator discovered, by targeting specific use cases first, the initial investment required was substantially lower than anticipated. They could extract only the necessary KPIs from performance management systems to complement their existing probe data, making the project much more affordable.

Creating a Virtuous Cycle

Each integration project you complete builds directly on the previous one, creating a virtuous cycle of increasing value and decreasing implementation costs.

  1. Start with a targeted use case that addresses a specific business challenge
  2. Integrate the minimum necessary data from both probe and performance management sources
  3. Deliver measurable business value through improved service quality or operational efficiency
  4. Use those results to justify the next integration project
  5. Gradually expand your integrated data foundation
  6. Reduce costs by eventually consolidating duplicate systems

This spiral of improvement creates compounding benefits. Each successful use case not only delivers immediate value but also makes the next integration easier and less expensive. You establish the data relationships once, and then build on them for future projects.

Looking ahead: building a foundation for the future

The approach described above does more than solve today's problems - it creates a solid foundation for future capabilities, including:

  • End-to-end service assurance across all network domains
  • AI-powered anomaly detection that spots potential issues before they affect customers
  • Automated remediation of common network issues
  • Predictive maintenance that prevents outages before they occur

By organizing your data today in a methodical, use-case-driven manner, you position your organization to adopt these advanced capabilities as they mature - without requiring massive upfront investment.

The Path Forward

For operators with limited resources, the message is clear: don't wait for the perfect end-state solution. Start where you are, with the specific challenges your organization faces today.

  1. Identify a high-value use case that currently requires coordination between teams
  2. Define the minimum data needed from both probe and performance management sources
  3. Implement a targeted integration focused on that specific use case
  4. Measure the business impact in terms of improved resolution time, better customer experience, or reduced costs
  5. Use those results to build support for the next integration project

This practical, step-by-step approach delivers immediate results while building toward a more comprehensive solution. It's not about boiling the ocean - it's about making steady progress toward a more efficient, effective network operation.

By taking this path, you'll not only solve today's challenges but also prepare your organization for whatever comes next.

This article was previously published on FutureNet World's blog.

 

Probe Data

Frequently Asked Questions

What is Probe data?

Probe data is collected by specialized systems that monitor and capture the actual signaling messages and traffic flowing between network elements in real-time. These systems “listen” to communications between network nodes, allowing you to see individual subscriber sessions, including identifiers that pinpoint who was affected by network issues and their exact experience. Think of it as watching the actual conversations between different parts of your network.

Why do operators face challenges related to combining Probe data with PM data?

Operators typically encounter five practical challenges when integrating data sources:

  • Organizational silos: Different teams often manage these data sources with separate budgets and priorities.
  • Data correlation: Finding common identifiers to link these different data sources can be technically challenging.
  • Investment concerns: The perceived cost of integrating data platforms can seem high if viewed as an all-or-nothing project.
  • Complexity: Different naming conventions and formats between data sources make correlation difficult without specialized knowledge.
  • Legacy systems: Many operators have separate tools built up over years that weren’t designed to work together.

The good news is that these challenges can be overcome through a targeted, incremental approach that focuses on specific use cases with clear business value.

What's the difference between Probe data and Performance Management (PM) data?

The key differences are:

  • Source: PM data comes directly from network nodes as statistical reports, while probe data is captured independently by monitoring actual network traffic.
  • Granularity: PM data provides aggregated statistics across all users on a node, while probe data shows individual subscriber sessions.
    Perspective: PM data reveals internal node metrics (memory usage, CPU load) that aren’t visible in signaling, while probe data shows the actual messages flowing between nodes.
  • Independence: Probe data provides vendor-neutral validation of what’s happening in your network, while PM data depends on each vendor’s reporting implementation.







[{id=255548016827}]
[{id=257951238361}]
[{id=276296107226}]
[{id=269333954760}]