How Big Data is used in Telecom.

1. Big Data
in Telecom

2. What is Big Data Analytics?
= Decisions
Big Data + Analytics

3. BigDataishigh-volume,high-velocityand/orhigh-variety
informationassetsthatrequirenewformsofprocessingto
enableenhanced decisionmaking,insightdiscoveryand
processoptimization.

5. Types of Telecom
Data

6. POS Data
Locations
Payments
Sensor Data
Customer
Profiles
Google+
Twitter
Facebook
Call Center
Data
Click Stream
Shipments
Transactions
HR Records
Financial
Records
Online Forums
Video
Sharepoint
3rd Party text
Documents
Call
Center
Portal
Store
FB
Twitter
Mail
Offers
Email
SMS
Customer
Touch
Points
Network
Data
Bliiions of call data
Records.
Location
Data
60TB of Location
Data.
Network
Data
Millions of records for
63 M customers

7. What are the benefits
and use cases of Big
Data in Telecom

8. Use Case of Big
Data in Telecom
Customer Experience Mgmt.
Targeted Marketing & Personalization
Predictive Churn Analytics
Customer Journey Analytics
Proactive care
Network Optimization
Network Capacity Planning &
Optimization
Network Investment Planning

9. Use Case of Big
Data in Telecom
Operational Analytics
Revenue Leakage & Assurance
Cyber Security & Information
Management
Order-to Activation
Customer Care Optimization
Data Monetization
Data Analytics as a Services (DAaaS)
IoT & M2M Analytics
New Revenue Engines - Connected
Home, Connected Car etc.

10. BENEFITS
EXTRACTION,
TRANSFORMATION
& STORAGE
FRAUD
DETECTION
RISK MODELING
POINT OF SCALE
TRANSACTIONAL
ANALYSIS
ADS TARGETING
CUSTOMER
CHURN ANALYSIS
QUALITY SEARCH
REAL TIME
ANALYTICS
SOCIAL ANALYSIS

11. Traditional Analytics
vs.
Big Data Analytics

12. BDA
LowStorage Cost
Traditional
High
Analytics
Data loading speed
Data loading time
Data variety
Volume
Query response time
Real-time
High
Avg.50% faster
Unstructured
PB/EB/ZB
Minutes
Offline
Low
Long
Structured
GB/TB
Hours/days

13. Thank you