BICS Empowers Customer Centricity

Transcription

1 BICS Empowers Customer Centricity with a Hadoop-based Data Lake Danielle Kana, Data Integration Architect, BICS John Haddad, Sr. Director Product & Technical Marketing, Informatica May 25, 2016

2 How Complements a Data Warehouse Enterprise Data Warehouse Relational, Mainframe Structured data Documents and s Unused or Infrequently used data Curated data Reports Social Media, Web Logs Structured & unstructured data Hadoop ODS & Data Lake Analytics Machine Device, Cloud Optimize performance/cost to store & process data at scale Dashboards #INFA16

3 What Does a Data Lake Infrastructure Look Like? Big Data Analytics Big Data Management Big Data Integration Big Data Governance Big Data Security Find & Access Data Experiment & Discover Insights Operationalize & Monetize Data Lab Factory Landing Zone Discovery Zone Consumption Zone Big Data Storage & Processing #INFA16

4 Big Data Reference Architecture Data Assets Data Visualization Big Data Analytics Advanced Statistics Predictive Analytics Machine Learning Data Products OLTP/ OLAP Big Data Integration Big Data Management Big Data Governance Big Data Security Customer Engagement Unstructured Data Machine/ Sensor Data High Performance Ingestion Scalable & Optimized Processing Flexible Deployment Data Quality & Self Service Data Prep End-to-End Data Lineage Data Matching & Relationship Discovery 360 view of Sensitive Data Risk Analytics of Sensitive Data Policy-Based Protection of Sensitive Data Quality of Service Campaign Effectiveness Social Media Universal Metadata Services Fraud Detection Third Party Sources Big Data Storage & Processing Hadoop MPP NoSQL Location Based Services #INFA16

5 Big Data Integration: Flexibility & Productivity Design Template Run-time Generation Development Deployment X MapReduce/Tez/Blaze/Spark ETL/DI Servers Data Warehouse RDBMS Cloud Hadoop #INFA16

6 Big Data Governance: End-to-End Lineage & Quality #INFA16

7 Big Data Security: Discover and Protect Track Sensitive Data: Protect Sensitive Data: Data Masking Non-Production Dev Users Production OLTP Test DDM PDM TDM Train Production Support EDW Testers Trainers DDM Analysts DDM = Dynamic Data Masking PDM = Persistent Data Masking TDM = Test Data Management #INFA16

8 BICS Empowers Customer Centricity With a Hadoop based Data Lake Danielle KANA, BICS John Haddad, Informatica

9 Agenda 01 Who is BICS 02 Business Intelligence & Big BICS 03 Q & A 9 25/05/2016 BICS Confidential

10 BICS Company Presentation We deliver best-in-class wholesale telecommunication solutions to any communication service provider worldwide Creation of Carrier & Wholesale business Belgacom Belgacom ICS goes mobile. Soon 100 mobile operators are connected A global player is born: offices are opened in Asia Pacific, America and the Middle East 10 25/05/ JV with MTN ICS & launch of HomeSend, the first global mobile money hub Strategic partnerships with Omantel and MTN & launch of VoIP 2005 Spin-off & JV with Swisscom BICS Confidential 2007 GRX leader with over 100 customers connected 2011 BICS connects its 40th service provider to its IPX 2010 Full deployment of roaming suite of services & Belgacom ICS becomes 2013 BICS enables world's 1st international LTE roaming relations & concludes a partnership with MasterCard for HomeSend

11 BICS Company Presentation 22.4% HQ in Brussels with offices in Bern, Madrid, Dubai, New York, Singapore, Beijing, Accra, Cape Town, Miami, Montevideo, Nairobi and Toronto 57.6% 20% more than 1000 customers incl. over 400 mobile data customers world leader in mobile data services 1.6 bio euro revenues top 3 voice carrier with over 27 bio minutes more than 100 points-of-presence worldwide 440+ employees slide 11 BICS confidential 25 May 2016

12 BICS business Sender Receiver Belgacom Swisscom MTN Fixed operators Mobile operators xsp s Fixed operators Mobile operators xsp s slide 12 BICS confidential 25 May 2016

13 Global network reach 100+ points-of-presence worldwide offering SDH and Carrier Ethernet services Pan-European DWDM network offering 100G services Reseller Teradata Universe Confidential

14 Top 3 voice carrier Over 28 bio minutes Backed by a Tier 1 network 100 points of presence (PoPs) in 55 cities and 33 countries 9 metropolitan area networks teleport in La Ciotat participations in 40 submarine cables slide 14 BICS confidential 25 May 2016

15 Business Intelligence & Big Data

16 C Subscriber Monitoring and Advanced Reporting Tool C Provide a 360 view on the Roaming Activity 16 25/05/2016 BICS Confidential

17 SMART Webvision Architecture C Continuous Transformation and Loading of the network data via Informatica Powercenter C Near Real Time Reporting (5-10 minutes) 17 25/05/2016 BICS Confidential

18 Monitoring of the network performance to guarantee service levels Monitoring of the traffic volume to support expansion plans Identify consumer preferences to launch targeted marketing campaigns Tracking of subscribers for problem identification and resolution in real time 18

19 Network Performance Monitoring Distribution by Country Near-Realtime (5-10mins) 19 25/05/2016 BICS Confidential

20 Network Performance Monitoring (2) 20 25/05/2016 BICS Confidential

21 Identifying Consumer Preferences 21 25/05/2016 BICS Confidential

22 Real Time Problem Resolution Troubleshooting subscribers 22 25/05/2016 BICS Confidential

23 SMART Webvision IT Challenges Storage Cost Various type of Products/Technologies (SS7, 2G, 3G, 4G) Billions of transactions by day and by technology Abolition of Roaming Charge in Europe à Estimate growth of data roaming traffic to more than 200% by year Performance is key! Near real time reporting (latency < 10 minutes) Processing of Huge volume of data Increasing demand in complex analytics 23 25/05/2016 BICS Confidential

24 Hadoop Drivers Why Strategy Teradata Hadoop Appliance (HortonWorks) C Kick start with Hadoop C Easy set-up/implementation of a functional Platform Partnership (Teradata, ThinkBig, Informatica) Cost effective scalable storage Cost effective scalable processing power Conservative Start C Hadoop Technologies (Hive) C Mini batch approach Hybrid Architecture C Teradata=critical flows (performance!) C Hadoop=high volume data with a less critical constraint on the latency slide 24 BICS confidential 25 May 2016

25 BICS Big Data Unified Data Architecture Probes Datacast Realtime parsing OLT POLTP TDR (5 min) 1 STP GRX LTE Hybrid approach 1) Near-Realtime KPI with PowerCenter & Teradata 2 2) Active Archive & BI on Hadoop with BDM

26 Big Data Management Editions - Drivers Relational, Mainframe Data Modeler Data Scientist Data Analyst Data Steward Data Engineer Business Increase Customer Loyalty Analytic Apps and BI Dashboards Improve Quality of Service Documents and s High Performance Universal Data Ingestion Data Profiling & Data Quality Reduce Churn Social Media, Web Logs Scalable & Optimized Data Integration Industry Standard Data Parsing Big Data Management End-to-End Data Lineage Flexible Deployment for Bimodal Architecture Improve Campaign Effectiveness Machine Device, Cloud Data Lake, Data Warehouse Increase Operational Efficiency

27 Roadmap Cluster Setup Migration First Flow (GRX) S Migrate all detailed information and batch processing to hadoop (SS7, LTEDR, LTE) S Implement New Analytics in the cluster S S Implement Predictive Analytics 27 25/05/2016

28 THANK YOU! For more information: Danielle Kana John Haddad