Fraud Analytics with Machine Learning and Big Data Engineering for Telecom
Adopting Analytics in Telecom
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Transcript of Adopting Analytics in Telecom
Adopting Analytics
Amarjeet SinghBitanshu DasNamita PandeyRoma Agrawal
“Key To The Future”
AGENDA
What are our challenges in implementing analytics?
What are our proposed plans for implementing analytics?
What benefits will we reap?
What will be our next steps?
What are the current challenges faced by us?
How can analytics help us?
“ In God we trust, all others bring data”
- W. Edwards Deming
AGENDA
What are the current challenges faced by us ?
What are our challenges in implementing analytics ?
What are our proposed plans for implementing analytics?
What benefits will we reap ?
What will be our next steps ?
How can analytics help us ?
Reasons :
Increased market competition causing slashed tariffs
SMS volume hampered by messengers like WhatsApp & WeChat
Call volume decreased by apps like Viber & Skype
Unlimited data packs
Network Congestion
Flat ARPU
Reasons :
Competitors introducing new plans & services
Service Quality
Consumer Psychology
Customer Churn
AGENDA
What are the current challenges faced by us ?
What are our challenges in implementing analytics ?
What are our proposed plans for implementing analytics?
What benefits will we reap ?
What will be our next steps ?
How can analytics help us ?
Fixing Flat ARPU
Personalized advertisement
Innovative Customized tariffs
Value added services for high end customers
Monetize customer data
Capped data plans
Customer Understanding
Social Media and Sentiment Analytics
Predict the Reason and Solve
Innovate and Deliver Constantly
Preventing Customer Churn
AGENDA
What are the current challenges faced by us ?
How can analytics help us?
What are our proposed plans for implementing analytics?
What benefits will we reap ?
What will be our next steps ?
What are our challenges in implementing analytics?
New data center setup
Depends on choice of implementation (hiring analysts or partner with analytics service providers)
Budget
AGENDA
What benefits will we reap ?
What will be our next steps ?
What are the current challenges faced by us ?
How can analytics help us ?
What are our challenges in implementing analytics ?
What are our proposed plans for implementing analytics?
Data Develop an enterprise-wide data architecture.
Analytical Model Hiring/Training analytics professionals. Identify key areas for deploying analytics.
Tools Setting up of hardware, intuitive tools and software
Implementation
AGENDA
What are the current challenges faced by us ?
How can analytics help us ?
What are our challenges in implementing analytics ?
What are our proposed plans for implementing analytics?
What will be our next steps ?
What benefits will we reap ?
Better Management and Operation of cell phone tower
Attractive plans and services
Customer Satisfaction
Increase in ARPU
Our Current ARPU : Data ARPU – 56Rs. Voice ARPU – 143Rs.
After implementing big data analytics Data ARPU
Almost 11% increase in the 1st year
34% increase in 2nd year Voice ARPU
More Than 15% increase in 1st year
Almost 33% increase in 2nd year.
Data ARPU Voice ARPU
56
143
62
165
75
190
Increase in ARPU
3rd Qrtr 2014 3rd Qrtr 201153rd Qrtr 2016
Decrease in Churn Rate
Present Current Churn Rate : 21%
After implementing big data analytics
Churn Rate in 1st Year : 10% Churn Rate in 2nd Year : 6%
Churn Rate
21%
10%
6%
Decrease in Churn Rate
3rd Qrtr 2014 3rd Qrtr 201153rd Qrtr 2016
Success Stories
Global Telecom (Philippines) Expected one-year payback
period. Uses big data analytics to
improve effectiveness of promotion by 600%.
More than 95% reduction in the time and cost of developing new promotions.
Improved uptake of services through the smart delivery of promotional offers
Increased market share and revenue
Increase in Sales %age
0
100
200
300
400
500
600
700
Big Data Analytics Effect on Promotion
Older Promotional ModelNew Promotional Model
Success Stories
Ufone (Pakistan) Deploying big data analytics
to improve marketing offer acceptance rate 25% to 50%.
Had a churn rate of 2.4%- 3% per month before changing strategies.
Present churn rate stands at 0.4% per month.
Decreasing Churn Rate
0%
1%
2%
3%
4%
Big Data Analytics Effect on Churn Rate
Older Churn RatePresent Churn Rate
Success Stories
XO Communications (US) Using predictive analytics
to improve customer experience resulted in $15 million per year.
ROI 376% Churn rate reduction 8%
first year and 18% second year.
Fig – Initial Investment
Pre-Start Year 1 Year 20
1000000
2000000
3000000
4000000
5000000
6000000
Financial Analysis
Net Cash flow before taxes Net Cash flow after taxes
AGENDA
What are the current challenges faced by us ?
How can analytics help us ?
What are our challenges in implementing analytics ?
What are our proposed plans for implementing analytics?
What benefits will we reap ?
What will be our next steps ?
Feasibility Study
The Choice : Outsourcing or setting up a new department
“CSPs that act swiftly to capitalize on the insights locked inside the vast volume, velocity and
variety of big data will position themselves to keep ahead of the competition, improve
customer experience, drive new products, increase productivity, predict future trends, and
especially, make money. “
Questions ??
Thank you…