1. Presented By :
Harshal Nimbalkar.1

2. INTRODUCTION
“ CHOOSE. COMPARE. CLICK.”
 FINANSIAL TECH SUPER MART .
 UNIQUE SALES AND SERVICE STEUCTURE.
 ONE STOP SHOP.
 LARGEST ONLINE AGGREGATORS.
 COMPARING DIFFERENT BANKS FOR DIFFERENT
SERVICES. 2

3. VISION
 Simplicity &Convince For Our
Customers.
 Agile & Customer Friendly Technology.
 Collaborative & Open Culture.
 An Environment Of Trust, Mutual respect ,
Fairness , Equal Opportunity.
3

4. SERVICES FOR CUSTOMER
SME FINANCE RETAIL FINANCE
LOAN AGAINST PROPERTY CREDIT CARD
COMMERSIAL VECHICLE FINANCE CAR LOAN
MEDICAL FINANCE TWO WHEELER
SME FINANCE PERSONAL LOAN
SME BUSINESS SOLUTION HOME LOAN
LOAN AGAINST SECURITIES
INSURANCE
INTERNSHIP………
4

5.  GENERATE REVENUE FOR THE
COMPANY BY SALE AND CLIENT
SURVEY FOR POS MACHINE.
PROBLEM STATEMENT
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6. COMPANY CATAGORIES AS PER BANK’S
 A & B - Top Most Companies , 5001 Cr. More
Than Turnover..
 G - Government Companies.
 C 1000 - Turnover 5 Lack's To 5000 Cr.
 C – Non Listed Companies.
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7.  15 May 2015 – 15 July 2015
 15 May – 30 May
• Training-
• Credit card
• SME’S
• PERSONAL LOAN
And also done the market survey for SME sector for requiring
loans, balance transfer and all.
INTERNSHIP SCHEDULE
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8.  1 June – 20 June
• Credit card market survey
• Activities from places-
• Nirlon complex- Goregaon
• Sad guru industries – Goregaon
• Jai coach – Jogeshwari
 21 june – 13 july
• Pos Machine Market Survey :
At Badlapur, Ulhasnagar, Thane, Mulund, Bhandup,
Ghatkopar.
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9. COMMERSIAL VECHICLE
TYPES SMALL C V. LIGHT C V. INTERMITARY
C V.
MEDIUM &
HIGH C V.
CAPACITY Upto 1.5
Tonne
2.00 To 10.00
Tonnes
11.00 To 15.00
Tonnes
Above 16.00
Tonnes
COST 4.00-5.00
Lakhs
6.00-8.00
Lakhs
7.00-11.00
Lakhs
12.00-30.00
Lakhs
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10. CREDIT CARD ACTIVITY
 Pitched Around 200 People.
 6 Successful Subscriptions.
• More Than 10 Forms Filled Up.
• 3 Credit Cards Disbursed.
• 3 Log Ins.
• Other Rejected.
 Held Promotional Activities For Various Places.
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11. WHY THE DISBURSMENT RATE WAS LOW ?
 High Interest Rates .
 Credit Limit.
 Documentation.
 Salary Limit.
 Not All Benefit in One Basket.
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12. POS MACHINE MARKET RESEARCH
 Research Around 200 People.
 As per the Questionnaire.
 Daily Target.
 Trying Converting To Customers.
 New Concept
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13. ANALYSE THE DATA
Anova: Single Factor
SUMMARY
Groups Count Sum Average Variance
Column 1 75 555 7.4 25.78378
Column 2 76 926 12.18421 95.93895
ANOVA
Source of Variation SS df MS F P-value F crit
Between Groups
864.009
4 1
864.009
4
14.1416
5
0.00024
3
3.90462
8
Within Groups
9103.42
1 149
61.0967
9
Total 9967.43 150 13

14. RESULT BASED ON DATA
So, we got the p value, the p value is less than the 0.05 so, we
reject the null hypothesis. If, the monthly swap increases that
does not mean monthly sale increased. but, the monthly sale
increase than the monthly swap mostly increase, this is the
analysis I got with the help of Anova.
How to calculate Anova-(monthly card –if 4-6 lakhs per
month so assumed 1, similarly 2 lakhs- 2, a-3 lakhs -3 Etc. so
filtering the data of monthly card as well as swap also. And
then calculate the Anova.)
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15. SUGGESTIONS
• Advertisement.
• Competition.
• Awards.
• Promotional Activities.
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