The document discusses how Comptel's convergent mediation and machine learning analytics solution helps a major European telecommunications operator gain operational intelligence. It faces challenges from a constantly changing environment. Comptel's solution provides real-time insights and predictions from network and IT data. It detects anomalies and issues faster through automated visual analysis. This helps the operator satisfy stakeholders, plan capacity better, and fix issues more quickly. In conclusions, the solution empowers telcos with smarter, proactive decisions through enriched data insights.

1. Drive Operational Intelligence for Telco with
Convergent Mediation & Machine Learning Analytics
Veli Kaukomaa | Solution Manager | Comptel Corporation
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2. Agenda
Telco Under Constant Change & Disruption
Intelligent Operations Case Study
Benefits & Conclusions
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3. With the Introduction of New Technologies and New
Competition, Telco Is under Constant Change
Exploding
number of
digital events
Competition for
customers
Telco systems penetrating
other business domains
Data and services
become The Business
Capacity growth and OTT
application innovation
Analytics in business
optimisation
LTE, 4G, IMS combined
with legacy technologies
Cloud and SaaS
Big Data and Hadoop
New technology
and innovations
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4. New Challenge & Opportunity for Operations
Telco disruption creates new
technology innovation
Complexity increases in IT and
network with constant changes
Increasing amounts of data is
created from various systems
With increasing complexity and data volumes,
how to cope with business critical operations?
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5. Case Study
Operator in Europe
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6. The Customer
The Customer
• Innovative quad-play service provider group in Europe,
which recently launched new value added services in
entertainment and banking
• Well established CSP with 4+ million subscribers
• Operating in multiple countries in the region
• Has recently introduced LTE capabilities
• Comptel Convergent Mediation customer for 10+
years. Upgraded to Comptel Convergent Mediation
Release 6.5 to benefit from the platform’s enhanced
performance and scalability
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7. Challenges to Operations from
Constantly Changing Environment
Network faults causing bottlenecks in billing process
 Corruptions in network elements causing faulty CDRs
 No means to predict fault situations
Time consuming ad-hoc requests and issues
 Multiple time consuming ad-hoc requests coming to
mediation department from various stakeholders
 Custom scripting and paralysis with analysis
Finding the right information at the right time
 With abundance of log data coming from various systems,
difficulties to find what is relevant for decision making
 Low visibility into capacity utilisation and planning
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8. Comptel Solution
Architecture & Key Features
Key features
Comptel solution
• Visual analysis tool for
analysing xDR
processing anomalies
• Machine learning
driven, automated
detection of deviations
Key features
• Drill-down into data
insights and forecast of
service usage vs.
available capacity
Data storage and
analysis engine
• Plug’n’play integration
to existing Comptel
Mediation
Audit logs
Network
elements
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xDRs
Comptel
Convergent
Mediation
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Enriched
xDRs
IT/BSS

9. Example Insights
Operator could immediately notice suddenly
increasing usage trend with analytics by
comparing observed vs. predicted transactions
values, helping them in capacity planning
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Forecasted values of next
day transaction volumes
were derived by applying
machine learning logic

10. Example Insights
Background: Stakeholders from revenue assurance department were
claiming that some of the records were abnormally filtered
By manual
inspection of the
stream level
transactional
data, nothing
seemed to be out
of ordinary…
...however,
machine learning
enabled anomaly
detection
highlighted that
issues are found
on the node
level, due faulty
update of a
specific CRM
lookup table
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11. Example Insights
The operator could notice a sudden drop
of network element transactions and
immediately act upon the failure
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12. Example Insights
With the help of drill-down functionality, operator
could notice the large number of rejected MMS
records due to e.g. missing device settings, worth
of approximately 300.000€ in revenue
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13. The Customer Benefits
Get warned before
the accident
happens
Easy to use,
automated visual
data discovery
Less manual custom SQL/shell scripting, more
time to detect and fix real issues
Satisfy stakeholder
needs with
faster insights
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Predictive forecasts enable pre-emptive
measures to prevent errors
Help your stakeholder departments with insights
derived from mediation layer
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14. Conclusions - Driving Operational Intelligence for Telco with
Convergent Mediation & Machine Learning Analytics
Smarter and more proactive
decisions
Real-time insights
Real-time insights of the
technology and business
Enrichment and predictions based
on data from network and IT
Turning data into
actionable information
Empowering data insights with
machine learning
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15. Thank You
Veli Kaukomaa | Solution Manager | Comptel Corporation
veli.kaukomaa@comptel.com
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