Data Science and big data analysis

3/22/2020 SafeAssign Originality Report

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3085.3086.202020-COMBINED-FULLTERM - SPRING 2020 - DATA SCIENCE & BIG DATA ANALY (ITS-836-30) (ITS-836-31) - COMBINED - FULL TERM

Presentation Himabindu Aratikatla on Sun, Mar 22 2020, 8:55 AM

57% highest match Submission ID: d41dabbe-6259-41d9-8b46-91014601a625

Attachments (1)

ExecutiveOverview.docx

Running Head: EXECUTIVE OVERVIEW 1

EXECUTIVE OVERVIEW 1

Analytics plan to Reduce Customer Churn at Yore Blends

University of the Cumberland’s

Himabindu Aratikatla

1 DATA SCIENCE & BIG DATA ANALYTICS

March 22, 2020

2 YORE BLENDS (YB) IS A FICTIONAL ONLINE COMPANY DEDICATED TO

SELLING SUBSCRIPTION-BASED TRADITIONAL SPICE BLENDS COUPLED

WITH ADDITIONAL COMPLEMENTARY PRODUCTS. 3 IN THE LONG TERM,

THEY ASPIRE TO GROWING THROUGH MERGERS AND ACQUISITIONS

WHICH REQUIRES A STRONG CUSTOMER BASE AND STEADY REVENUE. 2

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ExecutiveOverview.docx Word Count: 456 Attachment ID: 2689415839

57%

3/22/2020 SafeAssign Originality Report

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IN THE SHORT TURN, THEY ARE CONCERNED ABOUT CUSTOMER CHURN

(THE PERCENTAGE OF CUSTOMERS THAT HAVE STOPPED BUYING THEIR

PRODUCTS AND SERVICES). The company’s main problem is caused by customer churn

activity. Clients have stopped to order the products and services offered by Yore Blends

company.

Based on the company’s problems, a hypothesis was developed to help understand the causes

and reasons for the stated problems. Based on the hypothesis, Yore Blends company is facing

possible customer churn because of poor customer care services. Also, it is possible that their

clients fail to get value for the purchased products or services (Hazen, 2014). Another

hypothesis is that they fail to effectively communicate with their clients regarding product

updates. Lastly, it was hypothesized that the problem resulted from natural causes.

To understand and solve this problem, it was necessary to use appropriate data for accurate

results. Therefore, appropriate data sources were used to conduct churn analytics. The

company’s data were collected from the billing system, company’s product portfolio, client’s

sentiments, and customer profiling based on customer care services. With these data it was

possible to develop the most appropriate analytical techniques to solve the problem.

Regression analysis model was used to develop a predictable model. Results from the analysis

were then validated through repeated random sub-sampling technique.

Findings from the results suggested that, the company needs to be actively using all channels

for that: 4 PHONE, E-MAIL, WEBSITE, LIVE CHAT, AND SOCIAL MEDIA

(SALLOUM, 2016). 5 THE VALUABLE FEEDBACK ON HOW WELL THEY

SERVE THEIR CUSTOMERS IS JUST A PHONE CALL, AN E-MAIL OR A SURVEY

AWAY. ALSO, ANOTHER WAY TO PREVENT CHURN IS TO ACTIVELY ENGAGE

THE CUSTOMERS WITH THE PRODUCT. Understanding possible impacts of customer

churn enables the company to adopt strategies to prevent losing clients and experiencing

decrease in product sales.

References

Hazen, B. 6 T., BOONE, C. A., EZELL, J. 1 D., & JONES-FARMER, L. A. (2014). 6

DATA QUALITY FOR DATA SCIENCE, PREDICTIVE ANALYTICS, AND BIG

DATA IN SUPPLY CHAIN MANAGEMENT: AN INTRODUCTION TO THE

3/22/2020 SafeAssign Originality Report

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PROBLEM AND SUGGESTIONS FOR RESEARCH AND APPLICATIONS.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 154, 72-80.

7 SALLOUM, S., DAUTOV, R., CHEN, X., PENG, P. X., & HUANG, J. Z. (2016). 7

BIG DATA ANALYTICS ON APACHE SPARK. INTERNATIONAL JOURNAL OF

DATA SCIENCE AND ANALYTICS, 1(3-4), 145-164.

Citations (7/7)

Matched Text

1 ProQuest Document

2 Another student's paper

3 Another student's paper

4 https://www.superoffice.se/blog/reduce-customer-churn/

5 https://www.superoffice.co.uk/resources/articles/customer-churn/

6 http://cscanada.net/index.php/mse/article/view/9000

7 Another student's paper

Suspected Entry: 85% match

Uploaded - ExecutiveOverview.docx DATA SCIENCE & BIG DATA ANALYTICS

Source - ProQuest Document Data Science, Predictive Analytics, and Big Data

Suspected Entry: 100% match

Uploaded - ExecutiveOverview.docx D., & JONES-FARMER, L

Source - ProQuest Document D., & Jones-Farmer, L

Suspected Entry: 69% match

Uploaded - ExecutiveOverview.docx Source - Another student's paper

3/22/2020 SafeAssign Originality Report

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YORE BLENDS (YB) IS A FICTIONAL ONLINE COMPANY DEDICATED TO SELLING SUBSCRIPTION-BASED TRADITIONAL SPICE BLENDS COUPLED WITH ADDITIONAL COMPLEMENTARY PRODUCTS

This report is about a fictional online company Yore Blends any dedicated to selling traditional Spice blends on a subscription basis along with complementary products like kitchen utensils and other storage materials

Suspected Entry: 62% match

Uploaded - ExecutiveOverview.docx IN THE SHORT TURN, THEY ARE CONCERNED ABOUT CUSTOMER CHURN (THE PERCENTAGE OF CUSTOMERS THAT HAVE STOPPED BUYING THEIR PRODUCTS AND SERVICES)

Source - Another student's paper The team is also concerned about the percentage of customers who have talked about buying their products and services

Suspected Entry: 100% match

Uploaded - ExecutiveOverview.docx IN THE LONG TERM, THEY ASPIRE TO GROWING THROUGH MERGERS AND ACQUISITIONS WHICH REQUIRES A STRONG CUSTOMER BASE AND STEADY REVENUE

Source - Another student's paper In the long term, they aspire to growing through mergers and acquisitions which requires a strong customer base and steady revenue

Suspected Entry: 86% match

Uploaded - ExecutiveOverview.docx PHONE, E-MAIL, WEBSITE, LIVE CHAT, AND SOCIAL MEDIA (SALLOUM, 2016)

Source - https://www.superoffice.se/blog/reduce- customer-churn/

phone, e-mail, website, live chat, and social media

Suspected Entry: 91% match

Uploaded - ExecutiveOverview.docx THE VALUABLE FEEDBACK ON HOW WELL THEY SERVE THEIR CUSTOMERS IS JUST A PHONE CALL, AN E-MAIL OR A SURVEY AWAY

Source - https://www.superoffice.co.uk/resources/articles/custo mer-churn/

The valuable feedback on how well you serve your customers is just a phone call, an e-mail or a survey away

Suspected Entry: 88% match

Uploaded - ExecutiveOverview.docx

3/22/2020 SafeAssign Originality Report

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ALSO, ANOTHER WAY TO PREVENT CHURN IS TO ACTIVELY ENGAGE THE CUSTOMERS WITH THE PRODUCT

Source - https://www.superoffice.co.uk/resources/articles/custo mer-churn/

Another way to prevent churn is to actively engage your customers with your product

Suspected Entry: 99% match

Uploaded - ExecutiveOverview.docx T., BOONE, C

Source - http://cscanada.net/index.php/mse/article/view/9000

T., Boone, C

Suspected Entry: 100% match

Uploaded - ExecutiveOverview.docx A., EZELL, J

Source - http://cscanada.net/index.php/mse/article/view/9000

A., & Ezell, J

Suspected Entry: 99% match

Uploaded - ExecutiveOverview.docx DATA QUALITY FOR DATA SCIENCE, PREDICTIVE ANALYTICS, AND BIG DATA IN SUPPLY CHAIN MANAGEMENT

Source - http://cscanada.net/index.php/mse/article/view/9000

Data quality for data science, predictive analytics, and big data in supply chain management

Suspected Entry: 100% match

Uploaded - ExecutiveOverview.docx AN INTRODUCTION TO THE PROBLEM AND SUGGESTIONS FOR RESEARCH AND APPLICATIONS

Source - http://cscanada.net/index.php/mse/article/view/9000

An introduction to the problem and suggestions for research and applications

Suspected Entry: 100% match

Uploaded - ExecutiveOverview.docx INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 154, 72-80

Source - http://cscanada.net/index.php/mse/article/view/9000

International Journal of Production Economics, 154, 72-80

3/22/2020 SafeAssign Originality Report

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Suspected Entry: 100% match

Uploaded - ExecutiveOverview.docx SALLOUM, S., DAUTOV, R., CHEN, X., PENG, P

Source - Another student's paper Salloum, S., Dautov, R., Chen, X., Peng, P

Suspected Entry: 100% match

Uploaded - ExecutiveOverview.docx X., & HUANG, J

Source - Another student's paper X., & Huang, J

Suspected Entry: 100% match

Uploaded - ExecutiveOverview.docx BIG DATA ANALYTICS ON APACHE SPARK

Source - Another student's paper Big data analytics on Apache Spark

Suspected Entry: 100% match

Uploaded - ExecutiveOverview.docx INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS, 1(3-4), 145-164

Source - Another student's paper International Journal of Data Science and Analytics, 1(3-4), 145-164