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Webinar 3-12-2013 Comptel, Analytics

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Webinar 3-12-2013 Comptel, Analytics

  1. 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. 2. Agenda Telco Under Constant Change & Disruption Intelligent Operations Case Study Benefits & Conclusions 2 © Comptel Corporation 2013 JOINT CONFIDENTIAL
  3. 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. 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. 5. Case Study Operator in Europe 5 © Comptel Corporation 2013 JOINT CONFIDENTIAL
  6. 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. 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. 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. 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. 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. 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. 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. 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. 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. 15. Thank You Veli Kaukomaa | Solution Manager | Comptel Corporation veli.kaukomaa@comptel.com 15 © Comptel Corporation 2013 JOINT CONFIDENTIAL

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