Utilisation d'Hadoop chez Ericsson - HUG France (juin 2014)

EricssonMedia Statistics

Franck Gallos [email protected]érôme Antezak [email protected]

June 11st 2014

mailto:[email protected]

mailto:[email protected]

Ericsson- HUG Paris | 2014-06-11 | Page 2

Agenda

1. Ericsson networked society & analytics

2. Projet Media statistics

3. Exemple : IPTV & meteo

1. Influence des facteurs métérologiques

2. Calculs prédictifs


Operator’s challenge and opportunityGrowth in mobile broadband, users and usage 2013 to 2019…

250 M to 750 M

PCs and tablets

6.7 BN to 9.3 BN Mobile subscriptions

1.9 BN to 5.6 BN

Smartphone subscriptions

2.1BN to 8 BN Mobile broadband

subscriptions

10 times 45% CAGR

Mobile data traffic

Growth opportunitiesData boom customer care CallsProblem Resolution

time Source: Ericsson Mobility Report


Telecoms trails behind other industries in brand loyalty

NPS Benchmark for US industry groups 2012

Source: Informa Telecoms and Media

NPS is a focus for telecom operators


improving customer experience across the lifecycle is crucial to increase NPS

Key factors driving NPS

Improving customer experience across the entire lifecycle is crucial

By breaking down loyalty drivers, we can understand which areas that are most important for improving NPS

Source: Keeping Smartphone Users Loyal, Ericsson ConsumerLab 2013

GETSimplicity, clarity,

personalization

FINDAvailability, variety, relevance, transparency

SET UPAccuracy, speed, efficiency

USESpeed, quality, accessibility,

reliability

GET HELPAccessibility

SpeedResolution

PAY FORCost control

Simplicity

MODIFYSimplicity, clarity, personalization


Big data analytics is key to boost customer experience

HOW OPERATORS RESPOND

Idea-to-Implemen

tation

Plan-to-Provision

Lead-to-Service

Service-to-Cash

Experience-to-

Resolution

PREPARATION

DELIVERY OF CUSTOMER’S DESIRED EXPERIENCE

BIG DATA ANALYTICS

TAKE ACTON

GAIN INSIGHT

MEASURE

FINDAvailability, variety, relevance, transparency

SET UPAccuracy, speed, efficiency

USESpeed, quality, accessibility,

reliability

GET HELPAccessibility

SpeedResolution

PAY FORCost control

Simplicity

MODIFYSimplicity, clarity, personalization

WHAT CUSTOMERS WANT


ANALYTICS WITH ERICSSON

An agile, open, multi-vendor approach that converts big data

and domain knowledge into real-time, actionable insights for a

wide range of use cases

Terminal Probes and DPI

RAN Traffic Nodes

Core Traffic Nodes

Control Plane

Product &

Service Catalog

Fault and Performan

ce

Trouble Ticket

Charging & Billing

CRM Social Network

Marketing EngineeringCustomer

CareNetworks

Mediation / Correlation / Filtering

Knowledge Extraction / Business Logic / Data Mgmt

Exposure / Insights / Action

White Paper :http://www.ericsson.com/news/130819-big-data-analysis_244129227_c


Agenda



3. démonstration





Ericsson Media Statistics

Media statistics

User infos CSP, type,…

Director

Actors

Analytics

Logs, STBs MetadataOpen data

Comedy

Action

…..

Category

Data report

Reco. Engine

AdvertisingSystems

(box,portal,…)


Big data project

› Cluster Hadoop

› CORE IPTV

› CDN LIVE/VOD

› METEO STATIONS

VOLUME VELOCITY VARIETY

› 16 To

› Terasort benchmark for 1 To Data Volume with a response time of 04’28s


Hadoop ecosystem

SERDE


Agenda







CROSSING TV & WEATHER

› 1 To of raw IPTV data› Data Meteo : 100 weather stations › 6 months of weather and IPTV logs data› Response time= 00:25:00


WEATHER INFLUENCE On VOD Consomptions› Monday Tuesday Wednesday thursday

› friday saturday sunday

› Such consomptions influences are not taken into account by marketing divisions › Such usage analytics data could now feed any recommendations operational systems


TOP « ONE day weather » INFLUENCE ON VOD USAGE› This Map displays the ranking

influences between French locations

› The lists indicates the names of the most influenced by weather French departments on Thursdays

› THURSDAY

rank department

1 Côtes d'Armor

2 Finistère

4 Ille-et-Vilaine

8 Loire atlantique

9 Mayenne

10 Morbihan

11 Maine et Loire

12 Vendée

rank department3 Corse5 Var6 Hérault7 Bouches-du-Rhône


TOP « ONE day weather » INFLUENCE On VOD usage

› Week end departures times in Paris suburb and weather do influence the VoD usages

› FRIDAY › SUNDAY

› Weather does not influence people on watching VoD when returning back home on Sundays in the north of France while it does in the south


PrEDICTIVE ANALYTICS

› Total numbers of VOD sessions per Sundays from July to December 2013 › Post-predictions validations obtained from 1To data volumes › Response time= 00:25:00


CAPACITY PLANNING

› Total numbers of VOD sessions for each Sundays from July to December 2013

› Linear growth differences between real numbers and forecasted ones is 3%

› The methodology used for this use case can be applied to individual TV channels (ex : by planning capacities thanks to EPGs for instance… )


Internet

Utilisation d'Hadoop chez Ericsson - HUG France (juin 2014)