Using Data for Business

Introduction

The mentioned report works on providing a better idea about the way in customer satisfaction can be enhanced ensuring better business to the gym. The gym plans to spend a substantial amount of money on renovating and expanding the gym for increasing the level of customer satisfaction. However, the gym is worried that they should work on spending the money in the right direction and provide facilities wished by the customers, With proper business dissertation help, the gym can evaluate customer preferences and market trends in place to make informed decisions related to the allocation of resources for renovation and expansion.

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Why questionnaire is the best way of collecting data

The questionnaire is an inexpensive and affordable way of collecting quantitative data. Self administered questions helps in collecting massive information. The questions can be provided to the customers through emails. The prime purpose of the survey is to enhance the service criteria for meeting the levels of customer satisfaction (Nayak and Narayan, 2019). The questionnaires are highly practical in nature and targeted as per the needs of the customers. The health and fitness business is gaining momentum, the rate of competitive environment needs to be answered for ensuring that the business needs and the level of customer satisfaction is met. It is for the same reason, questionnaires can be used for obtaining quick results that are highly practical in nature. It is termed as a good tool for protecting the privacy of the participants. The validity of the information gathered and information processed is dependent on the honesty of the respondents (Nayak and Narayan, 2019). The question in the survey works on understanding the perspective of the customers. The customers are the prime source of profit for the health and wellness business.

Disadvantages of collecting data through face to face interview

Cost is termed as a major disadvantage in the mentioned course of data collection (Oltmann, 2016). They demand a staff to conduct the interview, meaning there would be cost for personnel. The personnel could be used for enhancing the aesthetic of the gym and renovating the same. The quality of the data obtained is additionally dependent on the interviewer. Due to lack of relevant experience the data collected through the use of face to face interviews may be misinterpreted. Interviewers may additionally exhibit biases that could influence the responses, this is likely to happen during opinion related polls. There remains no suitable technical infrastructure that determines the management of data. Unlike surveys which are supposed to be carried out by email, interview is administered on paper and the data collected needs to be entered manually. The data entry can be termed as a prolonged process. Survey on mobiles, tablets and iPads can reduce the time taken due to manual entry of data. In similar regards, the sample size is limited for the interviewing the research participants (Oltmann, 2016). It may be important to conduct interview for more than one time to obtain the right kind of data which can again increase the cost

Validity of the method used

The validity of a research instrument such as a questionnaire is determined by carrying out reconnaissance or scouting a survey on a small survey with similar level of baseline characteristics, but not as same as the study sample. This can work on providing the researcher to make changes and adjustments to the items within the questionnaire to meet the issue of meeting the customer demands. There exists different forms of validity ranging from the highest to lowest levels. As stated by Eriksson et al. (2018), validity is termed as the ability or extent to measure the intended outcome. The survey question represents the least scientific form of validity and based on the normative judgement of the researcher. The survey in the mentioned context makes use of content validity as the research goes beyond the judgement making sure that the survey covers the survey question. Following are the method implemented for ensuring data validation:

Lay out milestones for progress and consider the impact of each

Check the size of the data and whether the data is available entirely

Data enrichment for refining the customer data

What data needs to be collected?

The consumer data emerges as a prime important entity. The contextualised data can be termed as the data aimed to be collected. As influenced by Paul, Sankaranarayanan and Mekoth (2016), contextualised data can help business owners to understand the consumer behavior and respond to their demands. The highly predictive use case can provide the gym business with an idea of the consumer wants based on what the business has already done. In similar regards, mapping the journey of the users and personalising the same through the use of business platforms such as LinkedIn. Effective data segmentation allows the business to market the services to the people who are likely to engage with health and fitness business. Turning the data into cash flow can be termed as an effective way of ensuring the exact reasons for collecting the data. As influenced by Meesala and Paul (2018), companies that collect data also gain immense profit from it. The data pertaining to consumer behaviour and level of satisfaction needs to be collected for ensuring that the services within the gym are designed in the ways expected by the customers. For the chosen business, capturing a large amount of data represents a scope for a new stream of profits. For advertisers with the relevant information relating to purchase is immensely important so the demand for collecting the relevant data is highly relevant (Istanbulluoglu, 2017). The customer data related to the type of services they and the amount of time the customer spends in the gym. The type of data can be personal that includes name, email address of the customer for keeping the customers well informed about the survey and facilities within the gym. Engagement and behavioral data can be implemented for finding the possible ways customers can be engaged.

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Conclusion

On the basis of the above literature, it can be clearly concluded, collecting data is a crucial task. The importance of collecting data is further perpetuated to the fact that it helps on building the level of customer satisfaction. Thus, it can be concluded the mentioned assignment can provide a brief idea to the marketers and even the gym owners for renovating the gym as per the demands of the customers.

Reference list

Eriksson, J., Lindborg, E., Adell, E., Holmström, A., Silvano, A.P., Nilsson, A., Henriksson, P., Wiklund, M. and Dahlberg, L., 2018. New Ways of Collecting Individual Travel Information: Evaluation of data collection and recruitment methods.

Istanbulluoglu, D., 2017. Complaint handling on social media: The impact of multiple response times on consumer satisfaction. Computers in Human Behavior, 74, pp.72-82.

Meesala, A. and Paul, J., 2018. Service quality, consumer satisfaction and loyalty in hospitals: Thinking for the future. Journal of Retailing and Consumer Services, 40, pp.261-269.

Nayak, M.S.D.P. and Narayan, K.A., 2019. Strengths and weakness of online surveys. IOSR Journal of Humanities and Social Science, 24(5), pp.31-38.

Oltmann, S., 2016, May. Qualitative interviews: A methodological discussion of the interviewer and respondent contexts. In Forum Qualitative Sozialforschung/Forum: Qualitative Social Research (Vol. 17, No. 2).

Paul, J., Sankaranarayanan, K.G. and Mekoth, N., 2016. Consumer satisfaction in retail stores: Theory and implications. International Journal of Consumer Studies, 40(6), pp.635-642.

Appendix 1: Question for surveys

How might you rate the help you got?

How upbeat would you say you are with administrations?

How likely would you say you are to prescribe our administrations to other people?

What might we be able to have done to get a 10/10 today?

What would we be able to have enhanced/improved?

Do you have any recommendations on how we could improve our administrations?

What do you like least about our administration?

Appendix 2: Likert scale for analysing the responses

Likert scale for analysing the responses

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