Anomaly Detection in Telco Networks

Copyright © 2017 by Argyle Data Inc. All Rights Reserved. 1

Anomaly Detection in Telco Networks

February 2017

Big Data Analytics & Machine Learning


Fraud and Network Abuse - A Costly Pain Point

• Each year, CSPs lose over $38B (*) revenue to fraud & network abuse, and suffer further impairment

due to customer service costs, churn and brand damage

• Fraudsters are clever, quick and continuously evolving their attack strategy, with the ability to divert

millions of dollars in minutes or hours

• CSPs require a modern data approach to fight fraud, negative margin and arbitrage activity in real-time

OTT Analytics /

Revenue

Assurance

Wangiri /

Domestic

Revenue Share

$2.1B

Subscription

(Never Pay)

and Dealer

$11.6B

Premium Rate

$3.8B

Arbitrage

(Plan Abuse)

$2.9BSIM Box /

Interconnect

Bypass

$6.0B

International

Revenue Sharing

Fraud

$10.8B

Big Data is ideally suited to manage the volume, velocity & variety of CSPs’ Data

(*) CFCA « 2015 GlobalFraud Loss Survey »


Big Data Unlocks Enormous Potential Value

• Traffic over wireless networks continues to grow exponentially

• CSPs are uniquely positioned to extract powerful insights and value from their data

Calls

Media

Financial

Transactions

Search

Location

OTT / IP

Text

Messages

…

Fraud Detection

Revenue Assurance

Customer Profitability

Optimize Operational Efficiency

Intelligent Network Planning

Capacity Planning

Cell-Site Optimization

Dynamic Customer Profiling

Churn Prediction

Pre-emptive Customer Care

Improve Customer Experience

Network Congestion Control

Location-Based Services

Personalized Ads

Targeted Offers

Campaign Management

New Revenue Opportunities

Packages Designed for OTT

White Label Data Services

800% increase

in data traffic over

carrier networks

(2015 – 2020) CSP

EMEA Big Data Datacenter Infrastructure Market to Triple by 2019, Reaching $5.4B (IDC – Jan 2016)


Unstructured Data Islands

Leveraging Data Feeds for Business Insights

• CSPs face significant challenges implementing Big Data due to the volume, velocity and variety of data

• Argyle Data facilitates the implementation of a comprehensive Enterprise Data Lake

Structured Data Islands

Care

PoS

Billing

Inventory

Legacy

CRM

Ordering

Billing

Experian

Enterprise

Mobile Call

Fixed Call

VoIP Call

Social Data

Log Files

Other Sources

Data Lake

Aggregating complex structured and unstructured data from fragmented back-end systems and live feeds from switch taps


Argyle Data Application Suite

US MVNOAfrican Tier 1 MNOEuropean MNO

Argyle Data Common Real-Time Machine Learning & Analytics Platform

Fraud Prediction Big Data Analytics Anomaly Detection

Supervised & Unsupervised Learning

Big Data Hadoop platform

Ingest & AdminKafka

Discover & AnalyzeAccumulo

Model & ServeNoSQL/Presto

C

Subscription Fraud Traffic Analytics Network Usage & Fraud

Mobile Data

Mobile Call

Fixed Call

VoIP Call

ISUP, TD.35

TD.57, MAP

SMS, BSSAP

ISUP

Diameter

SIP, H.323,

Diameter

Viber, Whatsapp

BSSMIS

Billing

CRM

S/GGSNGTP C/U

Gn Data

Use Cases

MachineLearning

2% Revenue Loss0.3% Revenue Loss ROI < 1 Year

Data

Lake


Argyle Data Differentiated Approach

• First to leverage Big Data and Machine Learning on a platform tailored for the needs of CSPs

– Native Hadoop architecture proven to operate at scale

– Identifying anomalous activity in real-time on wireless carrier networks

Real-time Discovery and Insights

Advanced Machine Learning enables the discovery

and Analytics in real-time of anomalous activity

Native-Hadoop Architecture

Low-cost and highly scalable architecture

proven to operate at scale

Comprehensive Enterprise Data Lake

Bridge silos of data from fragmented back-end systems

Ingest high velocity network data in real-time

Data Visualizations and Work Flows

Powerful patterns and intuitive dashboards based on

standard integrations to visualization frameworks


Thank You

www.argyledata.com/contact

Technology

Anomaly Detection in Telco Networks