When considering Big Data projects and architecture, list and describe five challenges designers should be mindful of in order to make the journey to analytics competency less stressful
What will be an ideal response?
• Data volume: The ability to capture, store, and process the huge volume of data at an acceptable speed so that the latest information is available to decision makers when they need it.
• Data integration: The ability to combine data that is not similar in structure or source and to do so quickly and at reasonable cost.
• Processing capabilities: The ability to process the data quickly, as it is captured. The traditional way of collecting and then processing the data may not work. In many situations data needs to be analyzed as soon as it is captured to leverage the most value.
• Data governance: The ability to keep up with the security, privacy, ownership, and quality issues of Big Data. As the volume, variety (format and source), and velocity of data change, so should the capabilities of governance practices.
• Skills availability: Big Data is being harnessed with new tools and is being looked at in different ways. There is a shortage of data scientists with the skills to do the job.
• Solution cost: Since Big Data has opened up a world of possible business improvements, there is a great deal of experimentation and discovery taking place to determine the patterns that matter and the insights that turn to value. To ensure a positive ROI on a Big Data project, therefore, it is crucial to reduce the cost of the solutions used to find that value.
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Indicate whether the statement is true or false
A ________ is the basic unit of analysis for making merchandise management decisions.
A. merchandise group B. department C. stock-keeping unit D. merchandise category E. classification
Book value per share may not approximate market value per share because:
a. Land may have substantially increased in value. b. Market value reflects future potential earning power. c. Investments may have a market value substantially above the original cost. d. All of these are reasons why book value per share may not approximate market value per share.
Which of the following is a reason for the use of the matrix structure?
A. Its teams focus on many projects. B. It can better handle complex changes. C. Its structure is more closed and rigid. D. It decreases employee autonomy.