understanding usefulness of “data-driven decision making”. Now consider this from a “business partner” perspective. How could data and metrics help strengthen relationships with their business partners? In other words, what value would this add to the business?

Descriptive, Prescriptive, and Predictive Analytics, are methods used to determine outcomes for businesses. How are they different from each other? When are they used? Pretend that you are a Data Analyst in a company, how would you apply or used some of these methods?

In your perspective, what is the most significant contrast between business intelligence and analytics?

1. How IS is different from IT? 2. What are Management Information Systems? 3. Which type of analysis is usually performed by decision support systems?

How does data warehousing support business intelligence (BI) and analytics? Provide examples of how data from a data warehouse can be used for decision-making.

What is business decision modeling? How would you define the business process in your own words? What are the actual applications in business?

How does data warehousing facilitate decision support and business intelligence applications within an organization?

The more evidence that can support an accurate, the better the decision-making that can be made to ensure growth and company objectives. Could "analysis paralysis" take over and thereby prevent the use of multiple tools?

How has the business report impacted decision-making within the organization?

Describe the role of OLAP (Online Analytical Processing) in data warehousing, and how it enables multidimensional analysis of data for decision-making.