Telco‘s sit on a vast amount of data – both in terms of magnitude and variety. The Internet of Things (IoT) is set to magnify this spead and volume of data exponentially. As an organization, telco‘s use data across the board – network performance and optimization, marketing, product placements, pricing, plans, customer experience, fraud detection, etc. It thus becomes important to ensure data collection (and at the end, disposal where needed), processing, analytics and value creation are done uniformly across the organization.

1. DATA STRATEGY FOR TELCOS
- PREPAREDNESS AND MANAGEMENT
SOURAV ROUT
JUNE 2018

2. INTRODUCTION
• Telco‘s sit on a vast amount of data – both in terms of magnitude and variety
• Internet of Things set to magnify this spead and volume of data exponentially
• As an organization, telco‘s use data across the organization – network
performance and optimization, marketing, product placements, pricing, plans,
customer experience, fraud detection, etc
• Important to ensure data collection (and at the end, disposal where needed),
processing, analytics and value creation are done uniformly across the
organization
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3. THREE STEPS TO DATA MANAGEMENT
• Essential to ensure data management is well structured and implemented
• Three steps to effective data management:
• Data Governance
• Analytics
• Employee Training and Engagement
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4. STREAMS4
1 Data Governance
2 Analytics
3 Personnel Awareness and Training

5. STREAMS5
1 Data Governance
2 Analytics
3 Personnel Awareness and Training

6. DATA GOVERNANCE
THE ESSENTIALS
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Vision & Principle
Governance
Structure
Accountability
Policies
Security & Privacy
Legal compliance

7. DATA GOVERNANCE
BUILDING A DATA GOVERNANCE FRAMEWORK
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Secure executive sponsorship
Create data governance workstreams
Unified data definition and understanding
Identify data sources, users, flows and storage points
Harmonize data categories across departments and teams
Ensure data security and specify distribution rules

8. STREAMS8
1 Data Governance
2 Analytics
3 Personnel Awareness and Training

9. ANALYTICS
• First phase : Business As Usual Analytics
• Subscriber
• Networks
• Combined Value Creation
• Second phase : Advanced Analytics
• Machine Learning / AI
• Predictive Analytics
• Enhanced Experience
• Augmented / Virtual Reality
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10. BUSINESS AS USUAL ANALYTICS
NETWORK
• Capacity
• Outage
• Performance (QoS)
• Infra Health Monitoring
• Coverage
• Works Info
• Mobile/Fixed Footprint
Mobile / Fixed Network
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11. BUSINESS AS USUAL ANALYTICS
SUBSCRIBER
•Segmentation
•Churn Probability
•Revenue at Risk
•Demography
•Revenue / ARPU
•Complaints
•Device Usage
•Applications Usage (Ex, Video)
•Perception
Residential and Business Customers Split
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12. BUSINESS AS USUAL ANALYTICS
COMBINED VALUE CREATION
Network
Analytics
Subscriber
Analytics
Value
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13. ADVANCED ANALYTICS
MACHINE LEARNING / ARTIFICIAL INTELLIGENCE
Network
• Analyze Network traffic in real time
and optimize routing
• Smart Capex/Opex optimization
• Time series model to detect usage
anomaly
• Predictive maintenance of
infrastructure and customer
premise equipment
• Detect abnomal behaviour in key
KPIs and take preventive action
Marketing
• Churn prediction
• Customer usage insights to generate
new packages
• Recommendation on plans (next best
offer) based on consumption pattern
• Individualized campaign using LBS
(specifically proximity marketing)
• Target marketing
• Customer segmentation – Cross/Up sell
• Measuring LTV
Finance
• CDRs in real time to identify fraud
• Detect billing anomalies and
fraudulent usage
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14. ADVANCED ANALYTICS
PREDICTIVE MODELS
Devices
Uptake
Performance
Customers
Behaviour
Experience
Churn
Next Best Offer
Perception
Media Format
Life Time Value
Campaigns
Uptake
Network
Impact
Pricing
Sale/ Cross/Up
sell
Networks and
Operations
Performance &
Optimization
Capacity
Planning
Traffic Routing
Bandwidth
Assessment
Traffic Trends
Node Failure
Predictive
Maintenance
Network Infra
CPE
Services
Fleet
Optimization
Fraud
Customer care
Optimization
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15. ADVANCED ANALYTICS
CUSTOMER EXPERIENCE ENHANCEMENT
• Chatbots across all digital channels
• Voice-assissted help and care module
• Preemptive repair and replacement of CPE’s
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16. ADVANCED ANALYTICS
AUGMENTED / VIRTUAL REALITY
• Augmented / Virtual Reality slated to be a gamechanger in telecoms
• Providing customers with enhanced experience
• Telecom experts can detect and resolve issues remotely through on-site
personnel
• Faster resolution lead times and higher accuracy
• Efficient fleet management services
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17. STREAMS17
1 Data Governance
2 Analytics
3 Personnel Awareness and Training

18. PERSONNEL AWARENESS & TRAINING
• Ensure all colleagues are aware of data value
• Confirmity to data governance
• Knowldege of what to do with data and how to use it
• Ensure uniform definition and treatment of data is well understood by all
employees
• Collection, processing, usage and disposal of data is in accordance with the data
governance policies
• Period training and updates on data governance is part of development plan
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19. THANK YOU
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