What are the benefits that Mercy will get from using a data model across the board in their organisation? As a consequence of Mercy's trip through vast amounts of big data, having a well-articulated model that outlines the organization's data needs and objectives is more or less essential.
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- Why does Mercy need an enterprise data model? Is it more or less important for Mercy to have a well-articulated model that outlines the organization's data needs and goals?What are some of the possible advantages that an enterprise data model may provide to Mercy? Is it now more or less critical for Mercy to have a well-designed model that specifies the organization's data needs and priorities as a result of the firm's journey into big data, or does Mercy's foray into big data make it more or less crucial for the company to have such a model?What potential advantages does Mercy stand to gain from using an enterprise data model? Is the well-articulated model that outlines Mercy's organization's data requirements and goals any more or any less necessary as a consequence of the considerable excursion that Mercy has taken into the realm of big data?
- IBM Watson Offers Advice to Help Cancer Patients. IBM and the American Cancer Society (ACS) are working in partnership to develop a Watson-based advisor to support cancer patients. They will create this robust resource by drawing upon comprehensive databases of biomedical literature data from both organizations. This data will be loaded into Watson, which will then be trained to use the data to understand and anticipate individual cancer patient's needs. In addition, the advisor will learn about the patient and that patient's planned treatment regimen, allowing it to offer personalized advice that aligns with the patient's individual characteristics, preferences, and treatment plan.The goal is for the Watson-based advisor to anticipate the needs of people with different types of cancers—at different stages of disease and at various points in treatment. For example, a person with lung cancer experiencing unusual levels of pain could ask the advisor what might be causing pain. The…There are a variety of ways in which Mercy might benefit from having an enterprise data model. As a result of Mercy's explorations into big data, to what degree is it now even more important to have a well defined model that outlines the organization's data needs and goals?What are the benefits of Mercy adopting an enterprise data model? Is it more or less necessary for Mercy to have a well-articulated model that defines the organization's data needs and objectives as a consequence of its significant excursion into big data?
- What are the potential benefits that Mercy could derive from implementing an enterprise data model? Does Mercy's venture into big data make it more or less imperative for the organisation to possess a well-crafted model that outlines its data requirements and preferences, or has the significance of having such a model increased or decreased as a result of the company's foray into big data?What would an enterprise data model mean for Mercy, and what would it do for them? Is it more or less crucial for Mercy to have a clearly established model that specifies the organization's data needs and goals given the company's entry into big data?What are the benefits of Mercy using an enterprise data model?Is having a well-articulated model that outlines Mercy's data requirements and goals more or less necessary as a result of its huge excursion into big data?
- What four steps were suggested to build a data-driven organization? Evaluate each step according to how challenging it might be to implement based on your own knowledge of organizations and technology. Which step would you consider the most challenging? Why do you think so?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?Is Mercy in need of an enterprise data model? The importance of having a well-defined model detailing Mercy's data needs and goals is high.