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Drive Operational Intelligence for Telco with
Convergent Mediation & Machine Learning Analytics
Veli Kaukomaa | Solution Manager | Comptel Corporation

1

© Comptel Corporation 2013

JOINT CONFIDENTIAL
Agenda

Telco Under Constant Change & Disruption
Intelligent Operations Case Study

Benefits & Conclusions

2

© Comptel Corporation 2013

JOINT CONFIDENTIAL
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

3

© Comptel Corporation 2013

JOINT CONFIDENTIAL
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?
4

© Comptel Corporation 2013

JOINT CONFIDENTIAL
Case Study
Operator in Europe

5

© Comptel Corporation 2013

JOINT CONFIDENTIAL
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
6

© Comptel Corporation 2013

JOINT CONFIDENTIAL
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
7

© Comptel Corporation 2013

JOINT CONFIDENTIAL
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

8

© Comptel Corporation 2013

xDRs

Comptel
Convergent
Mediation
JOINT CONFIDENTIAL

Enriched
xDRs

IT/BSS
Example Insights
Operator could immediately notice suddenly
increasing usage trend with analytics by
comparing observed vs. predicted transactions
values, helping them in capacity planning

9

© Comptel Corporation 2013

JOINT CONFIDENTIAL

Forecasted values of next
day transaction volumes
were derived by applying
machine learning logic
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
10

© Comptel Corporation 2013

JOINT CONFIDENTIAL
Example Insights

The operator could notice a sudden drop
of network element transactions and
immediately act upon the failure

11

© Comptel Corporation 2013

JOINT CONFIDENTIAL
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

12

© Comptel Corporation 2013

JOINT CONFIDENTIAL
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

13

Predictive forecasts enable pre-emptive
measures to prevent errors

Help your stakeholder departments with insights
derived from mediation layer

© Comptel Corporation 2013

JOINT CONFIDENTIAL
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

14

© Comptel Corporation 2013

JOINT CONFIDENTIAL
Thank You
Veli Kaukomaa | Solution Manager | Comptel Corporation
veli.kaukomaa@comptel.com

15

© Comptel Corporation 2013

JOINT CONFIDENTIAL

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Webinar 3-12-2013 Comptel, Analytics

  • 1. Drive Operational Intelligence for Telco with Convergent Mediation & Machine Learning Analytics Veli Kaukomaa | Solution Manager | Comptel Corporation 1 © Comptel Corporation 2013 JOINT CONFIDENTIAL
  • 2. Agenda Telco Under Constant Change & Disruption Intelligent Operations Case Study Benefits & Conclusions 2 © Comptel Corporation 2013 JOINT CONFIDENTIAL
  • 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 3 © Comptel Corporation 2013 JOINT CONFIDENTIAL
  • 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? 4 © Comptel Corporation 2013 JOINT CONFIDENTIAL
  • 5. Case Study Operator in Europe 5 © Comptel Corporation 2013 JOINT CONFIDENTIAL
  • 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 6 © Comptel Corporation 2013 JOINT CONFIDENTIAL
  • 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 7 © Comptel Corporation 2013 JOINT CONFIDENTIAL
  • 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 8 © Comptel Corporation 2013 xDRs Comptel Convergent Mediation JOINT CONFIDENTIAL 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 9 © Comptel Corporation 2013 JOINT CONFIDENTIAL 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 10 © Comptel Corporation 2013 JOINT CONFIDENTIAL
  • 11. Example Insights The operator could notice a sudden drop of network element transactions and immediately act upon the failure 11 © Comptel Corporation 2013 JOINT CONFIDENTIAL
  • 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 12 © Comptel Corporation 2013 JOINT CONFIDENTIAL
  • 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 13 Predictive forecasts enable pre-emptive measures to prevent errors Help your stakeholder departments with insights derived from mediation layer © Comptel Corporation 2013 JOINT CONFIDENTIAL
  • 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 14 © Comptel Corporation 2013 JOINT CONFIDENTIAL
  • 15. Thank You Veli Kaukomaa | Solution Manager | Comptel Corporation veli.kaukomaa@comptel.com 15 © Comptel Corporation 2013 JOINT CONFIDENTIAL