Reference no: EM132816728
Part 1:
Use the following scenario to answer questions .
While working as a database analyst for a national sales organization, you are asked to be part of its data warehouse project team.
1. Prepare a high-level summary of the main requirements for evaluating DBMS products for data warehousing.
2. Your data warehousing project group is debating whether to create a prototype of a data warehouse before its implementation. The project group members are especially concerned about the need to acquire some data warehousing skills before implementing the enterprise-wide data warehouse. What would you recommend? Explain your recommendations.
Part 2:
Describe the characteristics of predictive analytics. What is the impact of Big Data (social media) in predictive analytics?
Part 3:
"The characteristics of predictive analytics is described below:
• It makes predictions based on historical data.
• It combines a variety of statistic and machine learning techniques and algorithms.
• It predicts the likelihood of future outcomes.
Now, Big Data (social media) is the meat of predictive analytics because large amount of data is produced from the social media. Big Data improves the accuracy of outcomes from predictive analytics and therefore, it increases the chances of the business and organization making a better decision based on the results from the predictive analytics."
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