Computer Science Discussion - Free Essay Example

Teradata was used to manage data that was integrated into the business of McCain Foods in various ways. First, it was the management of how factories were working by compiling key performance indicators and presenting them for analysis. Furthermore, there was ensuring the organization achieved optimal runtimes by analyzing the data associated with its operations. Moreover, an analysis of equipment was used to ensure optimum productivity by the organization (McCain, 2015). There was a collection of data about the organization's various operations, which was used to analyze the productivity associated with equipment utilization. Supply chain optimization was the other because Teradata was used to manage the integrated data into the organization's operations. Real-time performance measurement was the other way Teradata was used to collect data associated with the organization's operations (Kim et al., 2017). Lastly were raw material forecasts, where the demand for potatoes could be ascertained in advance with reliability.

Is your time best spent reading someone else’s essay? Get a 100% original essay FROM A CERTIFIED WRITER!

Save 25%

Source of Competitive Advantage

Therefore, the competitive advantage of using Teradata was providing real-time data analysis of the organization's operations. All information needed about the procedures was available from a central database (Berisha-Shaqiri, 2015). The managers could, therefore, be asked about anything that concerned their territories. There was quality assurance, consequently, which enhanced the organization's competitive advantage.

Application of Business Intelligence

Business intelligence involves the analysis of data that helps business executives in making decisions for organizations. Considering IBM, the business intelligence services would work in the hospitality industry where McCain Foods operates by analyzing data about the demand schedules and the forecasts associated with raw material demand (Korte, Ariyachandra, T, & Frolick, 2013). From the results obtained from the business intelligence, executives in the hospitality industry will make decisions consistent with their operations' growth in the long run.

References

Berisha-Shaqiri, A. (2015). Management information system and competitive advantage. Mediterranean Journal of Social Sciences, 6(1), 204. https://www.mcser.org/journal/index.php/mjss/article/view/5454

Kim, S. J., Al-Kateb, M., Sinclair, P., Crolotte, A., Zhang, C., & Rose, L. (2017, April). Dynamic statistics collection in the teradata unified data architecture. In 2017 IEEE 33rd International Conference on Data Engineering (ICDE) (pp. 255-258). IEEE. https://ieeexplore.ieee.org/abstract/document/7929981/

Korte, D., Ariyachandra, T., & Frolick, M. (2013). Business intelligence in the hospitality industry. International Journal of Innovation, Management and Technology, 4(4), 429. http://www.ijimt.org/papers/435-CM509.pdf

MicroStrategy at McCain (2015). McCain Foods Integrating Data from the Plant to the Boardroom to Increase the Bottom Line. https://www.youtube.com/watch?v=9nqYNkr-NVI