Understanding Business
12th Edition
ISBN: 9781259929434
Author: William Nickels
Publisher: McGraw-Hill Education
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Advise the Chief Data Officer of Coca Cola on some of the data mining mistakes
that are often experienced by organisations and data professionals that he
should try to avoid.
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- Globally, numerous people died in road traffic crashes every year. For the betterment of the public at large, ways to alleviate the frequency and severity of traffic crashes have been the primary concerns of many governments. In fact, many traffic crashes can be avoided with the implementation of effective policies and regulations. (i) Give one (1) example on how descriptive data mining can be used to achieve the stated objective.arrow_forwardHow does master data management (MDM) differ from traditional data management practices? What are the benefits of implementing MDM in an organization's data strategy?arrow_forwardThe major issue in the case revolves around McCain's view of her role and its appropriatenessgiven Harrison's strategic goals. You should point out to students that McCain is only indicative of ageneral problem within the company. The company is definitely targeting the middle-class, fashionconscious customer and need sales staff to effectively service the type of customer it wants to attract.To carry out its strategy, Harrison will need selling professionals who can offer personalized customerservice. McCain and other human resource managers are presently operating in a reactive modespending most of their time on maintaining day-to-day human resource operations. For example,McCain has little time for innovation or for developing policies to move the human resource operationforward. She seems to be unaware of the interdependent relationships among the various humanresource functions. Her answer to the recruitment problem seems to be to do more recruiting. Sheneeds to examine how…arrow_forward
- What are the differences between descriptive, predictive, and prescriptive analytics? Explain in detail with examples how each of these can be useful in the current business world.arrow_forwardThe Definition of "Big Data" What are the most important advantages of big data for competition?arrow_forwardHow is the concept of "data as an asset" being incorporated into modern data dictionaries for organizational benefit?arrow_forward
- In terms of the success of data warehousing, how crucial do you believe it is that the data be of high quality? What are the advantages and telltale indicators of having access to high-quality data, and how do you get it?arrow_forwardThe implementation of Business Intelligence is not without its difficulties, so what are they?arrow_forwardIn precise terms: 1. What is business analytics? What is the processes and problems? Give illustrations. 2. What are the differences and similarities of data collection and data mining? Give illustrations. 3. What are the differences and similarities of descriptive, diagnostic, predictive and prescriptive? Give illustrations.arrow_forward
- consider the impact of data ownership and organizational politics on the overall quality of an organization's data collection.arrow_forwardCould you please explain the possible advantages of a corporate data model for Mercy? How essential do you think it is for Mercy to have a well-designed model that specifies the organization's data needs and goals, now that it has begun to dabble with big data?arrow_forwardHow does data modeling support the development of effective Business Intelligence (BI) systems?arrow_forward
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