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Big	
  Data	
  for	
  Telcos
Use	
  cases
Skylads	
  Limited	
  -­‐ Private	
  &	
  Confidential 1
Skylads	
  Limited	
  -­‐ Private	
  &	
  Confidential 2
Skylads:	
  who are	
  we?
Skylads	
  Limited	
  -­‐ Private	
  &...
Skylads	
  Limited	
  -­‐ Private	
  &	
  Confidential 3
The	
  consulting	
  team
Skylads	
  Limited	
  -­‐ Private	
  &	...
Skylads	
  Limited	
  -­‐ Private	
  &	
  Confidential 4
What is Big Data?
Skylads	
  Limited	
  -­‐ Private	
  &	
  Confi...
Skylads	
  Limited	
  -­‐ Private	
  &	
  Confidential 5
Telcos:	
  areas	
  of	
  application
Skylads	
  Limited	
  -­‐ P...
Skylads	
  Limited	
  -­‐ Private	
  &	
  Confidential 6
Architecture
Skylads	
  Limited	
  -­‐ Private	
  &	
  Confidenti...
Skylads	
  Limited	
  -­‐ Private	
  &	
  Confidential 7
A.	
  Customer	
  experience	
  
Management
• Improve	
  and	
  o...
Skylads	
  Limited	
  -­‐ Private	
  &	
  Confidential 8
B.	
  Network	
  optimization
• Ensure	
  the	
  network	
  coher...
Skylads	
  Limited	
  -­‐ Private	
  &	
  Confidential 9
C.	
  Operational	
  Analyses
• Increase	
  of	
  processes	
  ef...
Skylads	
  Limited	
  -­‐ Private	
  &	
  Confidential 10
D.	
  Monetization
• Generate	
  additional	
  revenue	
  source...
Skylads	
  Limited	
  -­‐ Private	
  &	
  Confidential 11Skylads	
  Limited	
  -­‐ Private	
  &	
  Confidential 11
Visuali...
Skylads	
  Limited	
  -­‐ Private	
  &	
  Confidential 12
Visualizations – Geographical analysis of	
  the	
  network	
  f...
Skylads	
  Limited	
  -­‐ Private	
  &	
  Confidential 13
Visualizations – Geographical analysis of	
  penetration rate
Sk...
Skylads	
  Limited	
  -­‐ Private	
  &	
  Confidential 14
Approach– « Release	
  Early,	
  Release	
  often »
Skylads	
  L...
Skylads	
  Limited	
  -­‐ Private	
  &	
  Confidential 15
Some figures	
  to	
  illustrate
Skylads	
  Limited	
  -­‐ Priva...
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Skylads - Big Data for Telcos

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Big Data is a formidable opportunity for the Telecommunications industry. The abundance of data must be leveraged thanks to Data Science to improve the management of customer relationships, operational analyses, network optimization and monetization. Skylads, a startup specialized in R&D on Artificial Intelligence and Big Data offers products and services to make of the most of your data.

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Skylads - Big Data for Telcos

  1. 1. Big  Data  for  Telcos Use  cases Skylads  Limited  -­‐ Private  &  Confidential 1
  2. 2. Skylads  Limited  -­‐ Private  &  Confidential 2 Skylads:  who are  we? Skylads  Limited  -­‐ Private  &  Confidential 2 • Skylads  is  a  startup  founded  in  2015  and  specialized   in  R&D  on  Artificial  Intelligence  and  Big  Data • Successful  design  and  deployment  of  products  for   the  management  of  real-­‐time  programmatic   advertising  platforms  in  the  US  and  Europe. • R&D  extended  to  other  industrial  applications:   telcos,  banking,  finance
  3. 3. Skylads  Limited  -­‐ Private  &  Confidential 3 The  consulting  team Skylads  Limited  -­‐ Private  &  Confidential 3 • Omar Maes graduated from l’Ecole Polytechnique Paris, France, and l’ENSAE and is an expert in data processing, machine learning and big data, data science. • He has worked on various subjects involving an intensive use of artificial intelligence, the advanced analysis of data and the production of analyses based on the exploitation of massive amounts of data. • He is currently an expert consultant acting globally on innovating projects (artificial intelligence, programmatic marketplaces, data science). • Soufian Aboulfaouz graduated from l’Ecole Spéciale des TP et de l’Industrie, Paris, France and founded several companies in the digital industries in 2006 after having led for 7 years a software engineering company, a subsidiary of the Moroccan group Finance.com. • He is an expert in digital technologies with a pioneering vision on the technologies of the Internet. • He is currently an expert consultant acting globally on innovating projects (artificial intelligence, programmatic marketplaces, data science).
  4. 4. Skylads  Limited  -­‐ Private  &  Confidential 4 What is Big Data? Skylads  Limited  -­‐ Private  &  Confidential 4 • Everything  that  can’t  fit  in  a  single  hard  drive  falls   into  the  category  of  Big  Data. • It’s  a  way  to  think  about  and  predict  the  future,   that  assumes  that  the  more  data,  the  better. • Describe  and  predict  the  world  around  us: • Descriptive  progress,  influential  progress • Feed  back  loop • Models,  pattern  matching  to  a  definition  of  success • Historical  data,  training,  historical  patterns,  definition  of   success
  5. 5. Skylads  Limited  -­‐ Private  &  Confidential 5 Telcos:  areas  of  application Skylads  Limited  -­‐ Private  &  Confidential 5 Customer  experience  management -­‐ Targeted  and  personalized   marketing -­‐ Predictive  analysis  of  the  churn  rate -­‐ Analysis  of  online  and  offline   interactions -­‐ Proactive  management  of  the   customer  relationship Operational  analyses -­‐ Profit  and  loss  analyses -­‐ Fraud  detection -­‐ Onboarding  optimization -­‐ Customer  relationship  optimization Network  optimization -­‐ Capacity  planning  and  optimization -­‐ Investments  planning -­‐ Real  time  analyses Monetization -­‐ DAaaS (Data  Analytics  as  a  Service)
  6. 6. Skylads  Limited  -­‐ Private  &  Confidential 6 Architecture Skylads  Limited  -­‐ Private  &  Confidential 6 Internal:  business  process  optimization External:  monetization Marketing Experience  et  Retention Network  Planning  and   Optimization Data  Structuration  and   commercialization Connectors Business Network Structuration  and  Mining Data  Integration  /  ETL  /  Pre-­‐processing Spark? Hadoop? BSS OSS Big  Data  Platform
  7. 7. Skylads  Limited  -­‐ Private  &  Confidential 7 A.  Customer  experience   Management • Improve  and  optimize  the  customer  experience  to: • Maintain  the  competitive  advantage • Reduce  the  churn  rate • Building  of  a  360° view  on  the  client  through  his  journey   through  all  online  and  offline  interaction  channels: • Intelligent  and  dynamic  segmentation • Behavior  analysis  and  insights • Multi-­‐channel  ultra-­‐targeted  marketing • Hyper-­‐personalized  offers • Predictive  analysis  of  un-­‐subscriptions  and  switches Skylads  Limited  -­‐ Private  &  Confidential 7
  8. 8. Skylads  Limited  -­‐ Private  &  Confidential 8 B.  Network  optimization • Ensure  the  network  coherence: • Service  capacity  and  quality  management • Investments  planning • Introduction  of  real-­‐time  and  predictive  analyses  in  the   data  logs: • Real-­‐time  network  surveillance • Capacity  optimization • Predictive  analysis  of  the  usage • Usage  mapping Skylads  Limited  -­‐ Private  &  Confidential 8
  9. 9. Skylads  Limited  -­‐ Private  &  Confidential 9 C.  Operational  Analyses • Increase  of  processes  efficiency: • Reduction  of  revenue  losses • Reduction  of  non-­‐quality  costs • Preventive  analysis  of  behavioral  patterns  of  qualitative   analysis  of  data: • Fraud  detection • Anomalies  detection • Data  correction Skylads  Limited  -­‐ Private  &  Confidential 9
  10. 10. Skylads  Limited  -­‐ Private  &  Confidential 10 D.  Monetization • Generate  additional  revenue  sources: • Revenues  diversification • Transforming  data  repositories  into  revenue  generators • Packaging  and  commercialization  of  the  asset  “data”: • Geo-­‐marketing • Customer  Business  Intelligence • Digital  Advertising  Segments  (dmp) Skylads  Limited  -­‐ Private  &  Confidential 10
  11. 11. Skylads  Limited  -­‐ Private  &  Confidential 11Skylads  Limited  -­‐ Private  &  Confidential 11 Visualizations – Analyses  of  calls  by  type,  origine,  daytime
  12. 12. Skylads  Limited  -­‐ Private  &  Confidential 12 Visualizations – Geographical analysis of  the  network  for  failure detection Skylads  Limited  -­‐ Private  &  Confidential 12
  13. 13. Skylads  Limited  -­‐ Private  &  Confidential 13 Visualizations – Geographical analysis of  penetration rate Skylads  Limited  -­‐ Private  &  Confidential 13
  14. 14. Skylads  Limited  -­‐ Private  &  Confidential 14 Approach– « Release  Early,  Release  often » Skylads  Limited  -­‐ Private  &  Confidential 14 START Audit  of   existing systems Data   collection 1   month POCS POCs propositions Validation Specifications GO Execution Adjustments Deployment Evaluation Learnings 2 months 3 months
  15. 15. Skylads  Limited  -­‐ Private  &  Confidential 15 Some figures  to  illustrate Skylads  Limited  -­‐ Private  &  Confidential 15 Orange  – Livebox – customer  relationship 2014:  Results  of  the  predictive  analysis  approach  :  92  %  of  satisfied  customers  ;  35,000  saved  Livebox and  8,000  exchanged,  producting a  gain  of   2.8  million  euros. 2015  :  20  %  additional  saved  Livebox and  3,6  millions  of  gains. Source  :  http://www.relationclientmag.fr/Thematique/techno-­‐solutions-­‐it-­‐1016/Breves/Big-­‐Data-­‐2016-­‐Comment-­‐Orange-­‐utilise-­‐machine-­‐learning-­‐ service-­‐experience-­‐client-­‐302764.htm SFR  – Churn  rate 81%  of  potential  un-­‐subscibers identified  and  75%  of  clients  contacted  before  the  un-­‐subscription  stayed  with  SFR Source  :  http://www.zdnet.fr/actualites/comment-­‐sfr-­‐repere-­‐ses-­‐clients-­‐voulant-­‐le-­‐quitter-­‐grace-­‐au-­‐big-­‐data-­‐39815340.htm FYI  :  http://www.asprom.com/big/gras.pdf -­‐>  graph  a  recuperer pour  le  geomarketing sur  la  france FYI  :  http://www.journaldunet.com/solutions/dsi/projet-­‐de-­‐big-­‐data-­‐en-­‐france/  biensur que  l’architecture est faite sur  hadoop T-­‐Mobile  – Churn  rate Cut  by  half  churn  rate  in  the  USA  with  big  data Source:  https://datafloq.com/read/t-­‐mobile-­‐usa-­‐cuts-­‐downs-­‐churn-­‐rate-­‐with-­‐big-­‐data/512 FYI  :  https://www2.deloitte.com/content/dam/Deloitte/us/Documents/deloitte-­‐analytics/us-­‐da-­‐telecom-­‐case-­‐study-­‐final-­‐03232015.pdf  (paper   without  any  figures  but  interesting  to  see  deloitte in  it) T-­‐Mobile  – Acquisition  cost The  company  added  2.1  million  customers  in  the  second  quarter  of  2015,  in  its  ninth  consecutive  quarter  where  it  added  more  than 1  million   customers.  This  summer  T-­‐Mobile  bumped  Sprint  out  of  its  spot  as  third  largest  telecomm  company,  and  now  thanks  to  T-­‐Mobile's  clever  use  of  big   data  AT&T  might  just  be  the  next  giant  to  fall Source:  http://www.smartdatacollective.com/jessoaks11/351284/t-­‐mobile-­‐mines-­‐big-­‐data-­‐continues-­‐progress Bouygues  – Optimisation reseau Utilisation d’hadoop sur  le  reseau – gain  de  client  entreprise (Pas  de  chiffre) Source  :  http://www.lemagit.fr/etude/Bouygues-­‐Telecom-­‐deploie-­‐Cloudera-­‐pour-­‐reduire-­‐les-­‐incidents-­‐de-­‐la-­‐4G

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