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Data collection to justify management decision assignment sample

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Data collection to justify management decision assignment

SECTION ONE

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GATHER DATA ON AN ORGANISATIONAL ISSUE FROM A RANGE OF SOURCES

What is the organisational issue you want to address? Please describe the issue, its background and your relationship to it. What is the question you want to answer? (guide 100 words)

In the present report, the researcher focuses on addressing the issue of employee turnover in organizations. Employee turnover is referred to as the number of employees leaving the company and are being replaced by another employee hired by the company(Singh, 2019). In the present business environment employee are the most valuable resources for the businesses and due to which reason, it is important for businesses to focus on retaining the employees and reducing employee turnover. The research question for the present report is mentioned below such as:

Question: What are the reasons/factors which contribute to employee turnover?

Which sources of data are you going to use and why examine this organisational issue and show some examples? Please explain. (100 words)

For addressing the chosen organizational issue and for examining this issue in detail the researcher focuses on using different sources of data. In this research, the researcher will make use of the secondary data collection method and will collect the secondary data from the sources such as books, journals, articles, and other literature sources(Black, 2019). Qualitative data is being collected in the present research which would help in getting better-detailed knowledge regarding the chosen organizational issue. The chosen is more theoretical due to which the researcher had chosen these sources and the research will focus on collecting different types of data.

Using your textbook, please explain the 5 stages data science process as aplanned process. (100 words)

The five stages of the data science process as a planned process are explained below such as:

  • Data requirement gathering: data requirement gathering is referred to the process of gathering a list of all the requirements which are necessary for the data collection related to the organizational issue.
  • Data collection:Data collection is the process of collecting the data for addressing the issue which is being examined.
  • Data cleaning: in this stage, the data is being prepared for analysis.
  • Data analysis:in this stage, the data is analyzed so that better decisions can be made in the organization.
  • Data interpretation: interpreting the data is referred to as data interpretation.

Please describe the differences between primary and secondary data sources and give two examples of each from your workplace linked to the organisational issue you are examining. This can include examples such as e-mail surveys, questionnaires, observing, interviewing, focus groups, reports, other sources etc. (200 words)

The major difference between the primary and secondary data sources is explained below:

Primary data sources:

  • When the data is being collected by the researcher only and first-hand information collected then it is referred to as primary data.
  • Different sources of primary data sources include interviews, observations, questionnaires, and surveys(Loomis, & Paterson, 2018).
  • For addressing the organizational issue the primary data sources can be used such as surveys and interviews of the employees and the managers of the company.
  • For example, the e-mail survey or the questionnaire survey can also be conducted for collecting the data for the organizational issue.

Secondary data sources:

  • When the data is being collected from the literature which is already published then it is known as secondary data.
  • The researchers can use different secondary data collection sources such as books, journals, review articles, censuses, and the secondary data can also be obtained from blogs and websites as well.
  • In the present study if the researcher focuses on collecting the data by using secondary data sources that the sources such as books, journals, and articles can be used and this can provide high-quality theoretical data relevant to the research study.

SECTION TWO

ANALYSE DATA, IDENTIFYING PATTERNS AND ANOMALIES

Describe what "desk research" is and its uses and limitations in data analysis in relation to your organisational issue (100 words)

Desk research is generally used for explaining the research in which the researcher uses the secondary data which is already published in the literature for addressing the research topic. Desk research is being used for understanding the concepts in detail and in a cost and time-effective manner. Using desk research helps in exploring the research topic in detail. This is an effective method for examining the concepts related to the chosen organizational issue i.e. employee turnover in detail(Guerin, et. al. 2018). One of the limitations of the desk research is that sometimes the data collected is not exactly as per the requirements.

Give examples of how you have analyzed your primary and secondary data (two for each area) when it comes to your organizational issue (250 words)

When the data is being collected that it is important for the researcher to analyze the data in an effective manner so that better results can be concluded for the research study. Different data analysis methods can be used by the researcher for analyzing the data but selecting an appropriate data analysis method is important for the researcher. The analysis method depends on the nature of the data collected for instance different data analysis methods are being used for analyzing the primary and secondary data. The different analysis methods which can be used for data analysis are explained below:

Data Analysis methods for primary data

  • Descriptive Statistics:this method is widely used for analyzing quantitative data. This analysis method is used for identifying the common features among the sample and then they are represented graphically. The most commonly used descriptive statistics are mode, mean, median, range, percentage, and frequency.
  • Text analysis:it is an effective method that is being used for analyzing the quantitative and also the open-ended data which is the hardest to be analyzed. This method is generally used for the unstructured data and by applying this method the data is easily converted into data that can be easily understood(Loomis, & Paterson, 2018).

Data Analysis methods for secondary data

  • Thematic analysis: in this method, the common themes are being identified in the data which is being collected, and then the collected data is representing thematically which makes it easy for the researcher to understand the data.
  • Content analysis: in this method, the data is being collected in the form of content, and in this method, the data is being analyzed by the different concepts and themes which are being identified in common in the collected data.

Describe what the characteristics of good data are (50 words)

The important characteristics of good data are mentioned below such as:

  • The data needs to be accurate and should not have any errors.
  • The data needs to be reliable that it needs to be taken from trusted resources.
  • The data user needs to be up to date and should include the latest information also.
  • The data needs to be relevant to the purpose of the study.

Explain why it is important to validate your data and the importance of combining different data collection techniques (50 words)

Whenever research is being conducted and the data is collected it is important for the researcher to validate the data so that the defects or errors can be minimized or eliminated(Prada-Ramallal, et. al. 2018). The researcher should focus on making use of different data collection methods which makes the data more authentic and accurate and can add value to the quality of the research.

Why is it important not to show bias and act ethically when collecting and presenting data? (50 words)

When the research is being conducted that it is important for the researcher to be unbiased while collecting or analyzing the data so that more accurate and authentic data can be collected. Also, the researcher needs to focus on working in an ethical manner while collecting and presenting the data because ethical considerations are very important, and if the researcher does not work in an ethical manner then it can lead to ethical issues.

What policies/processes do you have in place to ensure that people are compliant with data protection law?

For ensuring that the individuals are compliant with the data protection law it is important that the researcher should develop policies related to the GDPR. For ensuring the complaint with data protection the researcher would focus on developing lawfulness, fairness, and transparency and also creating a rule that all the peoples are accountable for the work done by them.

SECTION THREE

PRESENT ANALYSIS OF DATA IN A SUITABLE FORMAT FOR THE INTENDED AUDIENCE

Based on your data collection of your organisational issue what patterns and anomalies have you identified? (100 words)

In the present research, the patterns which are being identified from the data collection related to the employee turnover shows that the different management practices are affecting the level of employee turnover, employee motivation, reward system, and organizational culture are the major management practices that are having an impact on the employee turnover(Khalid, & Nawab, 2018). While collecting the data the anomalies found is that all the data collected needs to be stored separately so that it can be easily interpreted and better results can be concluded.

What is the analysis you have conducted telling you? What needs to change, if anything, and why? What insights does this data give the business? (150 words)

The present analysis shows that employee turnover is an important organizational issue that needs to be addressed in an effective manner otherwise it would have a negative impact on the businesses. The insight which is being given by the data is that the businesses need to focus on their culture and all the other factors which are having an impact on employee satisfaction because lack of it can lead the company towards higher employee turnover. The businesses need to provide better pay, better benefits, reward and should create a positive organizational culture which can help them in solving the issue of employee turnover in the company(Loh, et. al. 2019). The way in which the analysis is effective and had helped the researcher in drawing better results but the researcher should focus on using diverse data analysis methods.

In the form of a management report, please choose the best method to show your audience your findings based on your analysis. You can use tables, charts, spreadsheets, etc to demonstrate your analysis (250 words)

When the data is being collected and analyzed then it is important for the researcher to focus on representing the findings in an effective manner so that the audience can easily understand the results and the key findings of the research or a report in an effective manner. For the present report, the researcher had focused on collecting the secondary data and doing desk researcher in an effective manner. For analyzing the data which is being collected the researcher had used thematic analysis which had provided the different themes and had mentioned that what are the different factors which are having an impact on employee turnover(Reymen, et. al. 2017). The researcher needs to focus on representing the data in an effective manner so that it can be easily understood by the audience. If the quantitative data is being collected for examining the organizational issue then the data can be represented in the form of tables, graphs, and spreads. But in the present report, the thematic analysis is being used and themes are made which represents that organizational culture, benefits or the rewards, and the salary of the employee are the important factors and if these factors are having a negative impact on the businesses then it would lead to employee turnover. The figure mentioned below represents the major factors that are contributing to employee turnover.

SECTION FOUR

JUSTIFY A MANAGEMENT DECISION, USING DATA ANALYSIS TO SUPPORT YOUR RATIONALE

What decision are you asking your audience to endorse/note and why? (100 words)

The audience or the businesses who are reading the data which is being collected needs to note that what are the different factors which are having an influence on the employee turnover rate and what are the different areas on which the businesses need to focus on addressing this organizational issue in their firm. The factors affecting employee turnover need to be addressed effectively and it is being asked to note by the audience as it is having a significant impact on the overall productivity, performance, and profitability of the organizations.

How did you reach this decision and why? What approaches and theory did you use? (150words)

The decision of focusing on the different factors associated with the employee turnover is based on the data which is being collected and the data revealed that the businesses need to focus on all the factors related to employee performance, employee satisfaction,and also the culture of the organization. For addressing this organizational issue of employee turnover the researcher will focus on implementing and focusing on the theories of employee motivation such as Maslow's theory and also will focus on offering better rewards to the employees which would help the businesses in satisfying the employees(Aguenza, &Som, 2018). When the employees of the company are motivated and are much satisfied with their jobs then it reduces the chances of employee turnover and it has a positive impact on employee retention as well. It can be said that if the management makes better decisions for satisfying the employees then it would help them in addressing this organizational issue in an effective manner.

Which data analysis was critical in helping you reach your conclusion and why? (100 words)

For analyzing the data in the present report the researcher had used the thematic data analysis method which had helped them in analyzing the data in an effective manner and drawing better results related to the organizational issue. This analysis method had helped the researcher in reaching the conclusion as it is an easier analysis method that helps in representing and analyzing the data in the form of simple themes which helps in identifying the common things which are being found in the research. This analysis is helpful as it represents the data in the form of themes which makes it easier to understand.

Describe at least two decision-making models and techniques you used to arrive at your decision (200 words)

When the researcher is being conducted for understanding or exploring the organizational issue. There are different decision-making models which can be used by the management for addressing the organizational issue by taking better decision towards it(Koechlin, 2020). In the present report, the researcher had focused on two different decision-making models for making the decision which is mentioned below such as:

  • Strategic Decision Making: when the decision made aligns well with the business strategies and focuses on the long-term vision it is called strategic decision making. In the present report, the researcher had made use of this strategic decision making as it helps them in making a decision which is much effective and when such decisions are being made then it helps the businesses in changing the overall business strategy so that it can help the company in addressing the issue in an effective manner and gaining an advantage over competitors as well.
  • Rational Decision Making:when the decision is being made by evaluating all the alternatives and then a particular decision is being made then it is known as rational decision making. In the present report, the researcher had analyzed the different alternatives and then had chosen the best course of action for the organization for addressing the issue(Power, et. al. 2019).

Please conclude what your analysis means to the business and why? What are the next steps and what have you learned as a result of this exercise? (200 words)

The present report had provided detailed knowledge related to an important organizational issue that is having a significant impact on businesses and it is crucial for the businesses to make better and effective decisions for addressing this issue in an effective manner.Employee turnover is one of the major issues for businesses and if the organization fails in addressing this issue that it will experience a significant decline in the overall business performance. The present report had provided detailed knowledge related to the factors which are having an impact on the employee turnover which is important information for the businesses and on the basis of the data collected and analyzed in the present report the businesses can make a better decision for solving this organizational issue nicely.

From this exercise, I have learned a lot that how to make a better decision and how to collect the data and analyze it for getting better information relevant to the research study. This exercise had provided better knowledge related to the data collection methods and data analysis methods as well which would also help me in the future. Also, I have learned that how to use the decision-making tools and methods for making an effective decision and how important it is for businesses to address the organizational issue and how the business can choose a better course of action for addressing the organizational issues.

REFERENCES

Aguenza, B. B., &Som, A. P. M. (2018). Motivational factors of employee retention and engagement in organizations. International Journal of Advances in Agriculture Sciences.

Black, K. (2019). Business statistics: for contemporary decision making. John Wiley & Sons.

Guerin, B., Janta, B., & van Gorp, A. (2018). Desk-based research and literature review. Evaluating interventions that prevent or counter violent extremism, 63.

Koechlin, E. (2020). Human Decision-Making beyond the rational decision theory. Trends in cognitive sciences24(1), 4-6.

Loh, M. Y., Idris, M. A., Dormann, C., & Muhamad, H. (2019). Organisational climate and employee health outcomes: A systematic review. Safety Science118, 442-452.

Loomis, D. K., & Paterson, S. (2018). A comparison of data collection methods: Mail versus online surveys. Journal of Leisure Research49(2), 133-149.

Power, D. J., Cyphert, D., & Roth, R. M. (2019). Analytics, bias, and evidence: the quest for rational decision making. Journal of Decision Systems28(2), 120-137.

Prada-Ramallal, G., Roque, F., Herdeiro, M. T., Takkouche, B., &Figueiras, A. (2018). Primary versus secondary source of data in observational studies and heterogeneity in meta-analyses of drug effects: a survey of major medical journals. BMC medical research methodology18(1), 1-14.

Reymen, I., Berends, H., Oudehand, R., &Stultins, R. (2017). Decision making for business model development: a process study of effectuation and causation in new technology?based ventures. R&D Management47(4), 595-606.

Singh, D. (2019). A literature review on employee retention with focus on recent trends. International Journal of Scientific Research in Science and Technology6(1), 425-431.
Khalid, K., & Nawab, S. (2018). Employee participation and employee retention in view of compensation. SAGE Open8(4), 2158244018810067.

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