DBA-831-O500 - CASE STUDY POTENTIAL RESOLTIONS - Dallas Williams

docx

School

Grand Canyon University *

*We aren’t endorsed by this school

Course

831

Subject

Business

Date

Jan 9, 2024

Type

docx

Pages

Uploaded by dallasmwilliamsiii

CASE STUDY POTENTIAL RESOLUTIONS 1 CASE STUDY: POTENTIAL RESOLTIONS Dallas Williams College of Doctoral Studies, Grand Canyon University DBA-831-O500 Dr. Gayla Grant December 6, 2023

CASE STUDY POTENTIAL RESOLUTIONS 2 Case Study Potential Resolutions With this case study, there will be a review for providing a summary of issues with data that have been identified and potential resolutions that Purple Cloud with have after their acquisition of ABCTech. This study will also identify how Purple Cloud can strategically optimize the acquisition of ABCTech so that they can become a dominant leader in the market. The product technology and pricing of Purple Cloud is nearly identical to the other competitors, who are larger and more established. There were several issues found with data and accuracy from reviewing the data set that could potentially affect how Purple Cloud chooses to implement their strategic approach with advertising and marketing which can have a direct impact on the profit margin of the company. History and Development The Purple Cloud company was created 15 years ago, and they currently are seeking ways to increase their presence within the market of data security while looking at ways to explore other acquisitions that will give them the most leverage within their respective market. Purple cloud also acquired the ABCTech product so that there is a better solution offered for the computer operating system of the user allowing for only one single update. Summary of Data Issues One of the main concerns regarding the information reviewed in data sets is if the information to be reviewed is incomplete or missing. There are several ways that data can be collected, and that specific method could potentially cause missing data by either inaccuracy of the respondents or no response in the network surveys and the design of study, or even a problem of boundary specification (Rao & Yuan, 2021). Reviewing the data provided in the data set, there were multiple issues found. The issues found are as follows: There is missing data in the columns for Surveys; There are several outliers on the Revenue 1Q column, showing amounts such as $1,666,000 and $5,126,000. There are several amounts that have a total less than $1,000. The way the data was collected will determine how accurate the data will be. The data that is incomplete and missing will need to be cleaned. There will also need to be a

CASE STUDY POTENTIAL RESOLUTIONS 3 decision made by Purple Cloud to determine if the incomplete and missing data will be totally removed so that there can be a full focus on the complete data set information. When the revenue data is cleaned, this will help paint a better picture of the post-acquisition revenue. The information from the data set lists that the old product has the highest revenue. Purple Cloud should ensure that their leadership continues to build on the integrating of the executives from ABCTech to collaborate with the support staff to make sure that each of the two companies are actively working on advertising their products as well as effectively marketing the products. The data also shows that if there is higher survey data, higher revenue will be reflected for that specific location and specific product. Potential Resolutions It is imperative that the revenue data is reviewed so that the data can be viewed more accurately to assist in developing the best strategies that will positively affect revenue. The profit margin will be based off of the company’s financial viability. When there is inaccurate data that is reflected on the revenue, this will not give the company an accurate picture of the company’s financial status. To prevent missing data, researchers must ensure that they collect and study all data in a very careful manner (Cheng et al., 2021). Data collection will be maximized when there is a design for a protocol of study. If missing data is present, the strength of the study will be reduced which will not assist in the elimination of a potential bias. Researchers must ensure that an analysis that is statistically valid is executed with assumptions that are appropriate for the study. If there is missing data, researchers must be the ones to seek the understanding for reasoning of why there is missing data (Wærsted et al., 2018). When researchers are dealing with data that is damaged, incorrect, or missing, there should be protocols for data handling. There must be adequate planning, development procedures, and supervisory training for the staff to make sure that data is stored properly, disposed, or archived properly in the safest way so that the integrity of the research is preserved, and the management of data is simplified for all parties utilizing the data (Southwood, 2023). Conclusion

Your preview ends here

Eager to read complete document? Join bartleby learn and gain access to the full version

Access to all documents
Unlimited textbook solutions
24/7 expert homework help

CASE STUDY POTENTIAL RESOLUTIONS 4 Purple Cloud is a company that has experience of over 15 years in the software industry. Their vision and their mission is very important to how the company will flourish with their brand awareness within the software industry. Having the ability to plan effectively, have effective collection of data, have solid and consistent financial management, integration of staff, and effective leadership will be the keys to the company maintaining a business that is considered viably financial. Along with the data analysis providing insight to the financial state of the company, it will also be important to have integration management that is used order to identify potential risks and ensure that strategies are developed and implemented to avoid those potential risks. The Purple Cloud company should focus their efforts on marketing and advertising each of the products, integration, and collecting accurate data so that the company’s performance can be better understood.

CASE STUDY POTENTIAL RESOLUTIONS 5 References Cheng, Y., Li, Y., Lee Smith, M., Li, C., & Shen, Y. (2021). Analyzing evidence-based falls prevention data with significant missing information using variable selection after multiple imputation. Journal of Applied Statistics, 50 (3), 724–743. https://doi-org.lopes.idm.oclc.org/10.1080/02664763.2021.1985090 Southwood, C. (2023). Data modernisation using a logical data management platform. Journal of Securities Operations & Custody, 15 (4), 336–347. Wærsted, M., Børnick, T. S., Twisk, J. W. R., & Veiersted, K. B. (2018). Simple descriptive missing data indicators in longitudinal studies with attrition, intermittent missing data and a high number of follow-ups. BMC Research Notes, 11 , 1. https://doi-org.lopes.idm.oclc.org/10.1186/s13104-018- 3228-6 Zhiwei Rao, & Jie Yuan. (2021). Data mining and statistics issues of precision and intelligent agriculture based on big data analysis. Acta Agriculturae Scandinavica. Section B, Soil and Plant Science, 71 (9), 870–883. https://doi-org.lopes.idm.oclc.org/10.1080/09064710.2021.1954684

DBA-831-O500 - CASE STUDY POTENTIAL RESOLTIONS - Dallas Williams

Related Documents