1. Define and explain the concept of terminologies. Electronic Records Management, Business intelligence (BI) and Analytics, Data and text mining, Big data analytics and data discovery, Enterprise architecture, Management information systems, Data life cycle and data principles, Cloud computing.
2. How does “data and text mining” create business value?
3. What are the problems associated with cloud computing? Give two examples and provide some solutions.. Explain your answers.
4. Study “Data Quality Determines Systems Success and Failure” in your text book [Chapter 2, IT at Work 2.1] and answer questions. Why was an EIS designed and implemented? What problems did executives have with the EIS? What were the two reasons for those EIS problems? How did the CIO improve the EIS? What are the benefits of the new IT architecture? What are the benefits of data governance?
5. Why is it important for Coca-Cola to be able to process POS data in near real time? How does Coca-Cola attempt to create favorable customer experiences? What is the importance of having a trusted view of the data? What is the Black Book model? Explain the strategic benefit of the Black Book model.
The procedural usage of automation applied techniques for the procedural management of terminological records regardless of any specific format (Mukred & Yusof, 2017, April). Scope, terminology and internal framework acts on the basis of electronically recording the issues.
Business intelligence deals with the technologies, integration, collection and presentation of the business information.
Business analytics is the procedural methodology that deals with the evaluation of the past information regarding the business.
Data and text mining has the main objective of accessing the data that is contained in textual format. Association among the data are present (Larose, 2014). Prediction of data is one of the most important functions of data and text mining.
Big data analytics is used for examining data sets which leads to revealing of the correlation and regression of the data which will help in efficient decision making.
Enterprise architecture is the working framework of the organization that enables estimating the goal of the organization.
Management information system is used as the user-machine system that provides data that helps in decision making.
Data lifecycle and data principles is the infrastructure that leads to the understanding of the data throughout its entire lifecycle of the data initiating from the storage of the data until deletion of the data.
Cloud computing is the networking system that involves the fetching, storing and modulation of the data (Rittinghouse & Ransome, 2016). Cloud computing is the most used data storage system that enables lack of using of the data storage external source as cloud computing is the internal storage system which decreases the storage expenses of the organization that has been using the cloud data for storage of the data.
Data and text mining has the main objective of accessing the data that is contained in textual format. Association among the data are present. Prediction of data is one of the most important functions of data and text mining. Data mining helps in gaining information of the business organization. This gaining of data helps in estimating the gross demands of the clients. Data mining helps in getting acquainted with the new technologies and helps in completing the project faster. Data mining also helps in the betterment of the quality of the product as data mining provides the company the evaluation report of the previous product which helps the company to improve the product quality. Data mining helps by storing the customer details and providing the same In case of urgency which enhances the business and saves time. Data mining allows the organization to understand the need of the mass and hence improve the product innovation which leads to the increase in prospect of the business. Tracking records help in understanding the consistency and loyalty of the customer hence helps the organization to deal with the clients apparently and deciding the priority levels of the consumers. Knowledge gained due to the fact of extensive research helps the organization to meet the demands which enhances the brand loyalty of the consumers.
The problems of using cloud computing are as follows: –
Cloud computing platform being an online medium for storage of data, the data can be accessed by unauthorized sources if the data is not encrypted in a proper way in order to add robustness to the data base (Abdullahi & Ngadi, 2016).
Precaution: setting up of strong password helps to keep the database protected from unauthorized access from the imposters.
Data losing is one of the major problems of in cloud computing. The transparency of the platform used in cloud computing is very less which leads to problems in tracking the lost data as the clients themselves are unaware of the initial location of the data in the first place.
Precaution: the only solution to this issue is standardization of the APIs (Ryan, 2015).
Executive Information System is a decision making tool that finds its implementation and benefits due to the fact that it helps the executive officers in order to make the appropriate decisions for the organization. The EIS brings forward the data that are required for the decision making to enhance the procedural execution of the process by the executive officers.
With increase in competition in their business, brands like Pepsico and Dr. Pepper stepping into the fields of beverage drinks the veteran brand is facing some fierce competition in the market. Hence providing good quality of the product is not the aim of the brand. Providing satisfaction to the consumers are important as well in order to increase brand loyalty.
Black book model is a java oriented application that is maintained with high secrecy by the Coca Cola. This Black book model is the reason behind the success of the Coca Cola as it has the working methodology that Coca Cola brand must follow.
Black book has the data regarding the process of functioning in the Coca Cola brand. This book acts as a guideline (Hui, et al 2014). The main strategic use of this book is that it helps in maintaining the quality of the product and a constant rate of quality service is possible throughout the world.
Reference
Abdullahi, M., & Ngadi, M. A. (2016). Symbiotic Organism Search optimization based task scheduling in cloud computing environment. Future Generation Computer Systems, 56, 640-650.
Aslan, A., & van Giersbergen, M. Y. (2016). Internationally, health-care systems have attempted to assess the scale of and demonstrate improvement in patient harms. Pressure ulcer (PU) monitoring systems have been introduced across NHS in-patient facilities in England, including the Safety Thermometer (STh)(prevalence), Incident Reporting Systems (IRS) and the Strategic Executive Information System (STEIS) for serious incidents. This is the… Journal of Tissue Viability, 25(1), 66-73.
Hui, R., Choi, I. H., Hussein, I., Hockey, J., Hetrelizides, D., & Wong, R. H. K. (2014). The effect of drinks and temperature on the staining of resin composites coated with surface sealants. Journal of Dental Biomaterials, 1(1), 16-22.
Larose, D. T. (2014). Discovering knowledge in data: an introduction to data mining. John Wiley & Sons.
Mukred, M., & Yusof, Z. M. (2017, April). The DeLone–McLean Information System Success Model for Electronic Records Management System Adoption in Higher Professional Education Institutions of Yemen. In International Conference of Reliable Information and Communication Technology (pp. 812-823). Springer, Cham.
Oh, C. H. O. N. G., Sasser, S. H. E. I. L. A., & Almahmoud, S. (2015). Social media analytics framework: the case of Twitter and Super Bowl ads. Journal of Information Technology Management, 26(1), 1-18.
Rittinghouse, J. W., & Ransome, J. F. (2016). Cloud computing: implementation, management, and security. CRC press.
Ryan, M. D. (2015). Cloud computing security: The scientific challenge, and a survey of solutions. Journal of Systems and Software, 86(9), 2263-2268.
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