SALES ANALYSIS(TELECOM ANALYTICS)

BY

ASHITHA VS

HARIDAS HALDAR

KRISHNA BOLLOJULA

NAMITA PANDEY

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Agenda INTRODUCTION

SALES ANALYSIS

SEGMENT WISE

SALES HISTORY

EXTERNAL FACTORS

OPERATOR BENEFITS

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INTRODUCTION

Mobile Services

Telemedia Services

Airtel Business

Digital TV Services

AIRTEL

Bharti Airtel Limited, leading global telecommunication company.

Headquartered in New Delhi, India

Operations in 20 countries across Asia and Africa

Ranked among top 4 mobile service providers globally in terms of subscribers. 

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SALES ANALYSIS

Sales Analysis of Bharti Airtel Limited

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SALES ANALYSIS(CONT.)• Segment wise(B2C)

Mobile Services

Broadband Services

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SALES ANALYSIS(CONT.)• Segment wise(B2C)

Digital TV

• Airtel Services (B2B) • Passive Infrastructure Services

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SALES HISTORY• Airtel use Oracle CRM for Data Storage and Analysis

• Introduced Airtel ERP, cloud based (SaaS) application

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SALES HISTORY(Cont.)

Total Sales

Customers

Orders

Sales Plotting(Year)

Sales History Chart

Today’s Sales Breakdown

Month’s Sales Breakdown

Top 5 places to target

Geographic distribution

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EXTERNAL FACTORS

Population forecasts Indicates general trend of

increase of subscriber base Customer Acquisitions

Multiple SIMS

Regulatory directives on first-time activations adversely affected the trend

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EXTERNAL FACTORS

Tourism Forecasts Tourism has a positive impact on

sales as customized offers are designed for travelers

Festivals are banked on for providing value added services

EXTERNAL FACTORS

• Socio-Economic Data Customized plans for all SEC

classes Identifying them has increased

our subscriber base and hence revenue

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OPERATOR BENEFITS• Incentive planning for better sales

Base commissions Bonuses and variable remuneration Airtime or revenue-sharing schemes Supporting the sales force

• Dealership planning for better coverage Optimize dealers based on number of retailers rather than geography Providing new dealership based on scarcity of products/services.

• Forecasted subscriber base by product & service Judgment-based methods Survey methods Time series methods Causal models Combination forecasts

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THANK YOU !!