webinar 3-12-2013 comptel, analytics

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© Comptel Corporation 2013 JOINT CONFIDENTIAL Drive Operational Intelligence for Telco with Convergent Mediation & Machine Learning Analytics Veli Kaukomaa | Solution Manager | Comptel Corporation 1

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1 © Comptel Corporation 2013 JOINT CONFIDENTIAL

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

© Comptel Corporation 2013 JOINT CONFIDENTIAL

Agenda

Telco Under Constant Change & Disruption

Intelligent Operations Case Study

Benefits & Conclusions

2

© Comptel Corporation 2013 JOINT CONFIDENTIAL3

With the Introduction of New Technologies and New Competition, Telco Is under Constant Change

Exploding number of

digital events

Competition for customers

New technology

and innovations

Telco systems penetrating other business domains

Capacity growth and OTT application

innovation

LTE, 4G, IMS combined with

legacy technologies

Data and services become The Business

Analytics in business optimisation

Cloud and SaaSBig Data and Hadoop

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New Challenge & Opportunity for Operations

Telco disruption creates new technology innovation

With increasing complexity and data volumes, how to cope with business critical operations?

Complexity increases in IT and network with constant changes

Increasing amounts of data is created from various systems

5 © Comptel Corporation 2013 JOINT CONFIDENTIAL

Case StudyOperator in Europe

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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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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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Comptel SolutionArchitecture & Key Features

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Networkelements

Networkelements xDRsxDRs

Comptel Convergent Mediation

Enriched xDRs

Enriched xDRs IT/BSSIT/BSS

Data storage and analysis

engine

Audit logs

Key features

• Visual analysis tool for analysing xDR processing anomalies

• Machine learning driven, automated detection of deviations

Comptel solution

Key features

• Drill-down into data insights and forecast of service usage vs. available capacity

• Plug’n’play integration to existing Comptel Mediation

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Operator could immediately notice suddenly increasing usage trend with analytics by comparing observed vs.

predicted transactions values, helping them in capacity planning

Forecasted values of next day transaction

volumes were derived by applying machine

learning logic

Example Insights

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Example Insights

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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

Background: Stakeholders from revenue assurance department were claiming that some of the records were abnormally filtered

JOINT CONFIDENTIAL© Comptel Corporation 2013

Example Insights

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

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Example Insights

12

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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The Customer Benefits

Help your stakeholder departments with insights derived from mediation layer

Predictive forecasts enable pre-emptive measures to prevent errors

Less manual custom SQL/shell scripting, more time to detect and fix real issues

Easy to use, automated visual data discovery

Get warned before the accident happens

Satisfy stakeholder needs with

faster insights

© Comptel Corporation 2013 JOINT CONFIDENTIAL

Conclusions - Driving Operational Intelligence for Telco with Convergent Mediation & Machine Learning Analytics

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Smarter and more proactive decisions

Real-time insights of the technology and business

Enrichment and predictions based on data from network and IT

Empowering data insights with machine learning

Turning data into actionable information

Real-time insights

15 © Comptel Corporation 2013 JOINT CONFIDENTIAL

Thank You

Veli Kaukomaa | Solution Manager | Comptel [email protected]