Identify a real-world business situation and use real data to perform a data analysis leading to an actionable recommendation. You are encouraged to select an issue in your workplace or program specialty area (e.g., IT management, HC management, or MBA). Publicly available data is also an option (see Course Tips).
Recommended Analysis Techniques:
• regression (linear regression, multiple regression, or logistic regression)
• time series or trend analysis
Note: you need to specify the specific type(s) of time-series analysis you plan to use or consider in Task 2 – i.e., regression, exponential smoothing, moving average, seasonality using multiple regression
• chi-square
• t-test (one sample, two independent samples, or paired)
• ANOVA
• crossover analysis
• break-even analysis
Additional Approved Analysis Techniques:
• statistical process control
• linear programming
• decision tree
• simulation
SCENARIO
REQUIREMENTS
Use the attached “Task 1 Template” to complete the following prompts:
A. Describe a real-world business situation that could be addressed by collecting and analyzing a set of data.
Note: The data can be from your workplace, from publicly available sources, or primary data that you collect on your own (e.g., a survey or behavioral observations).
2. Summarize one question or decision relevant to the real-world business situation that you will answer by collecting and analyzing a set of data.
3. Explain why the situation or question would benefit from a data analysis.
4. Identify all of the data that you will need to collect that is relevant to the situation or question.
Note: Identify the specific data relevant to part B1, such as time period, sample size, etc.
Note: A sample size of 30 is the suggested minimum size.
5. Describe the data gathering method will use to collect data.
Note: The data gathering method can include data sources (e.g., databases, surveys, behavioral observations, online sources, etc.)
6. Identify an appropriate data analysis technique from the approved list above to analyze this data.
a. Explain why the data analysis technique you chose is an appropriate technique to analyze the data collected.
B. Acknowledge sources, using in-text citations and references, for content that is quoted, paraphrased, or summarized.
C. Demonstrate professional communication in the content and presentation of your submission.
proficient and compelling results. John Kotter clarifies that a few powers for change are more noteworthy monetary coordination, development and log jam, innovation, and fall of communist nations and their reorientation toward industrialist economies (Palmer, 2006).
Several change management theories depict the way toward building up an arranged way to deal with the progressions occurred in an association. The principal display is John Kotter’s 8 stages, which was distributed in 1995 in the Harvard Business Review. Initially, setting up the requirement for direness alludes to performing market examination by deciding the issues and openings. The second step, guaranteeing there is a ground-breaking change gathering to direct the change can be performed by making group structures to help drive the change and ensuring the groups have adequate capacity to manage the change. Thirdly, building up a dream can be done by giving concentration to change. At that point, the vision must be conveyed by utilizing different channels to continually impart this vision. The following stage is enabling the staff by evacuating authoritative approaches and structures that restrain the accomplishment of the vision. When this is done, the association must engage the staffs which helps bolster the requirement for change and give inspiration. Merging increases is the seventh step.
Nonetheless, while the Kotter’s 8 stages plot the administration of an authoritative change, the Bridges Transition Model proposes that change won’t be fruitful if progress doesn’t happen. For this situation, progress is characterized as the consummation of something, which is the main stage. The second stage is the nonpartisan zone, which is a confounding state between the old reality and the new. Amid this stage, individuals are not prepared or agreeable to welcome the fresh starts. Much significance must be given amid this stage, on the grounds that the change may be endangered if the association chooses to rashly get away. Although, if the unbiased zone is finished effectively, numerous open doors for innovative change can be exhibited. The last stage is acknowledgment of the fresh starts and distinguishing