SlideShare a Scribd company logo
1 of 15
Business Statistics
with R
Group-1
Akshita Manwati
Tabassum Irfan
Harender Singh
Indrajeet Hulyalkar
Mayank Kumar
PRN008
PRN073
PRN099
PRN114
PRN100
01
Company
Introduction
Formed in Dec. 1996 merger of two entities: J.C. Penny’s credit card processing unit
and Limited’s credit card operation bank, World Financial Network National Bank.
LoyaltyOne, Blackstone Group,
Aspen marketing services, Epsilon-
ValueClick and Lon Operations Inc
SUBSIDIARIES
Retail Credit Card & financial services
(Transaction processing, credit and
marketing services in CRM)
CUSTOMER PROFILE
Revenue US$ 7.719 Bn
Operating income US$ 1.646 Bn
Net income US$ 789 Mn
Total assets US$ 30.685 Bn
Total equity US$ 1.855 Bn
Know more. Sell more.
(by using customer insights, advanced
analytics, and broad-reaching
innovative capabilities)
VALUES
Problem Description - ADS
To determine the inter-
dependency of the variables
To predict the sales based on
sample data
To use the simple regression
method to obtain the result
Combining amount of purchase and
amt spent at related stores to
determine the future sales
Develop
An understanding
of the customer
experience
The capturing of
customer insight beyond
call recording
Act
Expand
on customer
insights to improve
relationships and
drive revenue
Business Need - ADS
Methods
Practised in
Company
02
Implementation of the Regression model - ADS
Motive
The amount of money
spent by those who
make a purchase
Predictions of
regression model
who receive a promotion,
while others predict the
likelihood of purchase
for individuals who do
not receive a promotion.
Data Collection
With its database
containing information
on the spending habits
for 100 Mn+ consumers
ADS designs direct mail
campaigns and
promotions
Marketing services
ADS Implemented has been
done as a 4-step process.
The flow for the steps is …
Correlation Between the Responsiveness of the
Customer and Direct Market Campaign
The campaign's impact,
ADS analysts selected a
sample from the
consumer database.
Sample data on purchases
made by consumers
responding to the campaign, as
well as a variety of consumer
specific variables thought to be
useful in predicting sales, were
collected.
Analysts at Alliance Data
Systems discuss the use of
a regression model to
forecast sales for a direct
marketing campaign
01
FORECAST COLLECTION GOALS & STRATEGY
02 03
Created a regression formulae
ADS analysts developed an estimated regression equation relating the amount
of purchase to the amount spent at related stores:
Y = 26.7 + 0.00205x
Where , y =amount of purchase amount x= spent at
related stores
Using this equation, we could predict that someone spending $10,000 over
the past 39 months at related stores would spend $47.20
Epsilon detected
unauthorized access to
its email database
Flexibility to purchase the
right compute resources
that they need for each
workload
Technical Advancement
Alliance Data Systems can
seamlessly add resources to
support month-end reporting
and heavy forecasting and
planning seasons
FLEXIBILITY
CYBERSECURITY
MOVING TO CLOUD
Learnings and
group’s
suggestions
03
Define very clearly your objectives for
implementing learning analytics and the
changes you want to achieve
Key Learnings
Mapping context & it involves:
The context—The people, institutions, and
processes that may help or hinder change
The evidence— convince sceptics of the
need for change, achieved via data collection
Links—People and processes that give you
access to influential connections
Once we know who benefits the most from
the use of analysis, consider which
stakeholders hold the most influence. These
could be individuals or a group of stakeholders
A strategic plan helps ensure that your
implementation happens predictably and in a
controlled manner. Without a strategy, your
implementation is much more likely to go off
the rails.
1
2
3
4
Similar Company in India
Market Value: $18 Bn
Web-based Commerce
Payments: Credit/e-Wallet
PhonePe is an Indian digital payments and financial
services company headquartered in Bangalore, India.
Founded in Dec. 2015
 The PhonePe app is available in over 11 Indian
languages (Helps for data collection in our case
study).
 Using PhonePe, users can send and receive
money, recharge mobile, DTH, data cards, make
utility payments, pay at shops, invest in tax
saving funds, liquid Funds, buy insurance and
mutual funds and gold (Services offered).
 Offline and online merchant outlets across 500
cities in India covering food, travel, groceries,
medicines, movie tickets etc.
Get data on
spending habits
of the company
- Give related
coupons &
discounts
Collect sample
data from
customer - Do
direct marketing
(personalized
Offers etc.)
To target the
customers directly
- Give them credit
limits
Helped in identifying
the +ve & -ve
outcomes which can
be used in correcting
ive experiences.
M
R
G
C
Methods Practiced & adopted - Paytm
GET DATA
COLLECT
REGRESSION
ANALYSIS
DIRECT CALL/E-
MAILS
Connect with us in case of any doubt.
Thanks
akshita.manwati@siom.in
tabassum.irfan@siom.in
harender.singh@siom.in
indrajeet.hulyalkar@siom.in
mayank.kumar@siom.in

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Business Statistics | Understanding business for Alliance data

  • 1. Business Statistics with R Group-1 Akshita Manwati Tabassum Irfan Harender Singh Indrajeet Hulyalkar Mayank Kumar PRN008 PRN073 PRN099 PRN114 PRN100
  • 3. Formed in Dec. 1996 merger of two entities: J.C. Penny’s credit card processing unit and Limited’s credit card operation bank, World Financial Network National Bank. LoyaltyOne, Blackstone Group, Aspen marketing services, Epsilon- ValueClick and Lon Operations Inc SUBSIDIARIES Retail Credit Card & financial services (Transaction processing, credit and marketing services in CRM) CUSTOMER PROFILE Revenue US$ 7.719 Bn Operating income US$ 1.646 Bn Net income US$ 789 Mn Total assets US$ 30.685 Bn Total equity US$ 1.855 Bn Know more. Sell more. (by using customer insights, advanced analytics, and broad-reaching innovative capabilities) VALUES
  • 4. Problem Description - ADS To determine the inter- dependency of the variables To predict the sales based on sample data To use the simple regression method to obtain the result Combining amount of purchase and amt spent at related stores to determine the future sales
  • 5. Develop An understanding of the customer experience The capturing of customer insight beyond call recording Act Expand on customer insights to improve relationships and drive revenue Business Need - ADS
  • 7. Implementation of the Regression model - ADS Motive The amount of money spent by those who make a purchase Predictions of regression model who receive a promotion, while others predict the likelihood of purchase for individuals who do not receive a promotion. Data Collection With its database containing information on the spending habits for 100 Mn+ consumers ADS designs direct mail campaigns and promotions Marketing services ADS Implemented has been done as a 4-step process. The flow for the steps is …
  • 8. Correlation Between the Responsiveness of the Customer and Direct Market Campaign The campaign's impact, ADS analysts selected a sample from the consumer database. Sample data on purchases made by consumers responding to the campaign, as well as a variety of consumer specific variables thought to be useful in predicting sales, were collected. Analysts at Alliance Data Systems discuss the use of a regression model to forecast sales for a direct marketing campaign 01 FORECAST COLLECTION GOALS & STRATEGY 02 03
  • 9. Created a regression formulae ADS analysts developed an estimated regression equation relating the amount of purchase to the amount spent at related stores: Y = 26.7 + 0.00205x Where , y =amount of purchase amount x= spent at related stores Using this equation, we could predict that someone spending $10,000 over the past 39 months at related stores would spend $47.20
  • 10. Epsilon detected unauthorized access to its email database Flexibility to purchase the right compute resources that they need for each workload Technical Advancement Alliance Data Systems can seamlessly add resources to support month-end reporting and heavy forecasting and planning seasons FLEXIBILITY CYBERSECURITY MOVING TO CLOUD
  • 12. Define very clearly your objectives for implementing learning analytics and the changes you want to achieve Key Learnings Mapping context & it involves: The context—The people, institutions, and processes that may help or hinder change The evidence— convince sceptics of the need for change, achieved via data collection Links—People and processes that give you access to influential connections Once we know who benefits the most from the use of analysis, consider which stakeholders hold the most influence. These could be individuals or a group of stakeholders A strategic plan helps ensure that your implementation happens predictably and in a controlled manner. Without a strategy, your implementation is much more likely to go off the rails. 1 2 3 4
  • 13. Similar Company in India Market Value: $18 Bn Web-based Commerce Payments: Credit/e-Wallet PhonePe is an Indian digital payments and financial services company headquartered in Bangalore, India. Founded in Dec. 2015  The PhonePe app is available in over 11 Indian languages (Helps for data collection in our case study).  Using PhonePe, users can send and receive money, recharge mobile, DTH, data cards, make utility payments, pay at shops, invest in tax saving funds, liquid Funds, buy insurance and mutual funds and gold (Services offered).  Offline and online merchant outlets across 500 cities in India covering food, travel, groceries, medicines, movie tickets etc.
  • 14. Get data on spending habits of the company - Give related coupons & discounts Collect sample data from customer - Do direct marketing (personalized Offers etc.) To target the customers directly - Give them credit limits Helped in identifying the +ve & -ve outcomes which can be used in correcting ive experiences. M R G C Methods Practiced & adopted - Paytm GET DATA COLLECT REGRESSION ANALYSIS DIRECT CALL/E- MAILS
  • 15. Connect with us in case of any doubt. Thanks akshita.manwati@siom.in tabassum.irfan@siom.in harender.singh@siom.in indrajeet.hulyalkar@siom.in mayank.kumar@siom.in