Background of the Problem 

 XYZ Company is an American multinational corporation holding company headquartered at Whitacre 

 Tower in downtown Dallas , Texas . It is the largest telecommunications company in the world , 

 the largest mobile telephone service provider in the United States and the largest fixed telephone 

 service provider in the United States by   XYZ Company communications . 

 Data Science Research Peru TV Now is a national , direct - to - consumer service which launched on November 09 , 2016 , 

 and is designed to compete with other " over - the - top " television services . XYZ Company plans to expand 

 into the Indian OTT market , which has some major national and international players . The 

 company wants to tailor the existing product to fit the Indian market . The company decided to do 

 a market research with this objective as they search for the position they want to occupy in this 

 market . 

 Statement of the problem 

 Data Science Research Peru , a multinational company , planning to enter the OTT market in India , is uncertain about 

 consumer preferences to articulate the International expansion strategy . 

 Research Design 

 Type of Research Design 

 Method 

 Exploratory research will include focused group discussions and depth interviews for obtaining 

 variables of interest for the survey . We conducted focus group discussions with a group of six 

 people each and conducted depth interview of 50 individuals . 

 Sample : The sample was taken from a survey conducted for 1000 + people from 10 major cities 

 across India . The sampling technique used was random number generation and we chose 1000 

 responses from the survey . Random number generation was used to limit the bias based on age , 

 gender , etc . 

 Applicability 

 The output of this research can be used by Data Science Research Peru in the future to develop an OTT platform that 

 best fit their segment needs and also help position the product to increase sales . 

 Information Needs 

 To identify the variables of interest for each research objective , we conducted three depth 

 interviews . Each interview was conducted for more than 20 + minutes . The research objectives 

 are : 

 RO1 : To evaluate the content available on online media in terms of regional , live , latest , original 

 and rental content . 

 RO2 : To evaluate the product bundling options that are available for online media services in 

 terms of additional devices and services . 

 RO3 : To evaluate the subscription options available for online media services in terms of price , 

 devices , and choice of content . 

 RO4 : To evaluate the customization options available on online media services in terms of 

 popular , personal content and multiple user profiles options . 

 RO5 : To evaluate the requirement of parental control options available on online media services 

 in terms of age , content rating and payment restrictions . 

 RO6 : To evaluate all the supported platforms for online media services such as TV , PC , mobile , 

 streaming devices , gaming consoles . 

 RO7 : To evaluate the customer support options available for online media services based on 

 modes such as chat , helpline number , email . 

 RO8 : To evaluate the various criteria for offline downloading available on online media services 

 in terms of portability , time limit , and capacity / size . 

 Questionnaire Development and Pretesting 

 To determine the basis of the questionnaire , characteristics have been identified based on In- 

 depth interviews . Three face - to - face In - depth interviews were conducted and an interviewer and 

 a participant were involved each . In - depth interviews were conducted to provide a clear idea of 

 the participant 's viewpoint on the research topic , i.e. the behavior of Over the top services or 

 Online media streaming services purchases . The techniques and questions involved were based 

 on the willingness to learn all the participants can share about the topic of research . We 

 interacted with the participants by neutrally asking their questions , listening closely to their 

 answers and asking follow - up questions and samples based on the answers . We ensured that the 

 follow - ups should not lead participants according to any preconceived notions , nor should they 

 encourage participants to provide particular answers by expressing approval or disapproval of 

 what they say . After the interview , each interview was analyzed carefully to understand the 

 attributes . Based on these attributes , a questionnaire was formed and the pretesting was done on 

 a set of individuals . 

 Data Analysis 

 CROSS TABS 

 Plan for Data Analysis 

 The data analysis for cross - tabulation involves selecting pairs of variables from the data and 

 analyzing the joint distribution of the combination to determine whether there exists a possibility 

 of some relationship . This process was repeated for various combinations possible . The 

 combinations were selected intuitively by the researchers to maximize the possibility of finding 

 some meaningful relationships . 

 Methods Used 

 Crosstab , or Cross Tabulation , is a process or function that combines and/or summarizes data 

 from one or more sources into a concise format for analysis or reporting . Crosstabs display the 

 joint distribution of two or more variables and they are usually represented in the form of a 

 contingency table in a matrix . In this research , the researchers tried to find whether some 

 relationship exists between the various characteristics of the consumer and the behavior 

 exhibited . 

 Anticipated Issues 

 The experiment may still not provide conclusive facts to be used in the marketing strategy and in 

 that case the company might offer limited time free subscription to customers bundled with their 

 mobile plans and the get information in form of feedback for more insights . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Background of the Problem 

 XYZ Company is an American multinational corporation holding company headquartered at Whitacre 

 Tower in downtown Dallas , Texas . It is the largest telecommunications company in the world , 

 the largest mobile telephone service provider in the United States and the largest fixed telephone 

 service provider in the United States by   XYZ Company communications . 

 Data Science Research Peru TV Now is a national , direct - to - consumer service which launched on November 09 , 2016 , 

 and is designed to compete with other " over - the - top " television services . XYZ Company plans to expand 

 into the Indian OTT market , which has some major national and international players . The 

 company wants to tailor the existing product to fit the Indian market . The company decided to do 

 a market research with this objective as they search for the position they want to occupy in this 

 market . 

 Statement of the problem 

 Data Science Research Peru , a multinational company , planning to enter the OTT market in India , is uncertain about 

 consumer preferences to articulate the International expansion strategy . 

 Research Design 

 Type of Research Design 

 Method 

 Exploratory research will include focused group discussions and depth interviews for obtaining 

 variables of interest for the survey . We conducted focus group discussions with a group of six 

 people each and conducted depth interview of 50 individuals . 

 Sample : The sample was taken from a survey conducted for 1000 + people from 10 major cities 

 across India . The sampling technique used was random number generation and we chose 1000 

 responses from the survey . Random number generation was used to limit the bias based on age , 

 gender , etc . 

 Applicability 

 The output of this research can be used by Data Science Research Peru in the future to develop an OTT platform that 

 best fit their segment needs and also help position the product to increase sales . 

 Information Needs 

 To identify the variables of interest for each research objective , we conducted three depth 

 interviews . Each interview was conducted for more than 20 + minutes . The research objectives 

 are : 

 RO1 : To evaluate the content available on online media in terms of regional , live , latest , original 

 and rental content . 

 RO2 : To evaluate the product bundling options that are available for online media services in 

 terms of additional devices and services . 

 RO3 : To evaluate the subscription options available for online media services in terms of price , 

 devices , and choice of content . 

 RO4 : To evaluate the customization options available on online media services in terms of 

 popular , personal content and multiple user profiles options . 

 RO5 : To evaluate the requirement of parental control options available on online media services 

 in terms of age , content rating and payment restrictions . 

 RO6 : To evaluate all the supported platforms for online media services such as TV , PC , mobile , 

 streaming devices , gaming consoles . 

 RO7 : To evaluate the customer support options available for online media services based on 

 modes such as chat , helpline number , email . 

 RO8 : To evaluate the various criteria for offline downloading available on online media services 

 in terms of portability , time limit , and capacity / size . 

 Questionnaire Development and Pretesting 

 To determine the basis of the questionnaire , characteristics have been identified based on In- 

 depth interviews . Three face - to - face In - depth interviews were conducted and an interviewer and 

 a participant were involved each . In - depth interviews were conducted to provide a clear idea of 

 the participant 's viewpoint on the research topic , i.e. the behavior of Over the top services or 

 Online media streaming services purchases . The techniques and questions involved were based 

 on the willingness to learn all the participants can share about the topic of research . We 

 interacted with the participants by neutrally asking their questions , listening closely to their 

 answers and asking follow - up questions and samples based on the answers . We ensured that the 

 follow - ups should not lead participants according to any preconceived notions , nor should they 

 encourage participants to provide particular answers by expressing approval or disapproval of 

 what they say . After the interview , each interview was analyzed carefully to understand the 

 attributes . Based on these attributes , a questionnaire was formed and the pretesting was done on 

 a set of individuals . 

 Data Analysis 

 CROSS TABS 

 Plan for Data Analysis 

 The data analysis for cross - tabulation involves selecting pairs of variables from the data and 

 analyzing the joint distribution of the combination to determine whether there exists a possibility 

 of some relationship . This process was repeated for various combinations possible . The 

 combinations were selected intuitively by the researchers to maximize the possibility of finding 

 some meaningful relationships . 

 Methods Used 

 Crosstab , or Cross Tabulation , is a process or function that combines and/or summarizes data 

 from one or more sources into a concise format for analysis or reporting . Crosstabs display the 

 joint distribution of two or more variables and they are usually represented in the form of a 

 contingency table in a matrix . In this research , the researchers tried to find whether some 

 relationship exists between the various characteristics of the consumer and the behavior 

 exhibited . 

 Anticipated Issues 

 The experiment may still not provide conclusive facts to be used in the marketing strategy and in 

 that case the company might offer limited time free subscription to customers bundled with their 

 mobile plans and the get information in form of feedback for more insights .
### Output: 