Fueling your Businesson big data, alone!

Nikos Tsantanis

Senior Product Marketing Engineer

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“On the Threshold of New Business Models”

“The future is a place where our children

4 work for companies that don’t yet exist,

4 which create products that don’t yet exist,

4 that solve problems that don’t yet exist.”

Keith Willetts, TM Forum

This future is now!

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Old Challenges – New Solutions

4 Decreasing ARPUs

4 OTT

cannibalization

4 ‘Dumb pipe’ risk

Shrinking Revenues

4 Root Cause

Analysis

4 Service Mgmt

4 Proactive Planning

Network Capex/Opex

4 Customer loyalty

4 Augment QoE

4 Get into

subscribers’ minds

Customer Experience

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Old Challenges – New Solutions

Photo Credit: © Nigel Holmes 2012 / from The Human Face of Big Data.

Telecom & Media companies are transforming – fast – into data companies

CSP DSP

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Big Data Use Cases that Fuel your Business

From Churn Prediction to Churn Prevention

ValueStreams: Subscriber Telco Analytics Monetization

IPTV Recommendation Engine

Next Generation NOC

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2

3

4

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From Churn Prediction

to Churn Prevention

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The Ultimate Churn Prevention Strategy

4 Break all customers into

‘segments of one’

4 Assess churn probability for

each subscriber

4 Auto-trigger personalized

‘Next Best Action’

Churn Prevention with Big Data

Turn ‘churn suspects’ to ‘operator advocates’

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ValueStreams

Subscriber Telco Analytics Monetization

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ValueStreams: Telco Analytics Monetization

ØCDR/EDR

ØLogs

ØTraffic

ØCRM Profiles

Capture

Enrich

ØGeolocation

ØDemographics

ØSocio Economic

SaaS

ØAnonymize

ØAggregate

ØVisualization

Resell

ØRetailers

ØTransport Operators

ØShopping Malls

ØEvent Organizers

ØGovernment

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Example: Telefonica Smart Steps

Measure, compare & understand what factors influence the people visiting a location at any time

Video: http://dynamicinsights.telefonica.com/content/themes/O2-Theme/videos/Telefonica_Smart_Steps_Final_SD.webm

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IPTV

Recommendation Engine

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The Power of Recommendation Engines

4 User engagement

4 Cross- / up-selling

4 Customer satisfaction

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IPTV Recommendation Engine

EPGClickstreams VoD History

Metadata

EnrichmentR

eco

mm

end

ati

on

s

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IPTV Recommendation Engine - Benefits

4 Surprise customers with content they like and didn’t know it was there

4 Sell long-tail content4 Increase spontaneous purchases

4 Tune engine to promote high-revenue or low-cost content

4 Predict customer preference trends and order in advance from content providers

Customer Experience

Additional Revenues

‘Targeted’ Recommendations

Timely Content Acquisition

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Next Generation

Network Operations Center (NOC)

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Challenges of ‘traditional’ NOCs

Image credits: commons.wikimedia.org

4 Data Silos:

4 Consolidated reporting:

4 Cross-domain correlation:

4 Data Volume:

4 Proactiveness:

How can Big Data transform NOC?

Different systems for Fault, Performance, QoS, SLA Mgmt, …

Network, Service, Customer

e.g. voice with IP network

Sampling of selected data sources

Predicting & preventing faults

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New Generation Big Data NOC

4 Huge, scalable storage4 Mass Processing Capacity4 Pattern Detection & Prediction4 Actions vs. Intelligence4 Reporting & Visualization

Network

OSS

BSS

…

Dashboards

Reports

Alerts

Triggers

ALL Sources

Complete Data

NO SamplingReal-Time

Actions

Information Delivery

Cross-domain correlationsAuto Root Cause Analysis

Predict Net FaultsOptimized Network Planning

Intracom Telecom’s BigStreamer Solution

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End-to-End Customer Value Management