Chapter 3, Database, Data Warehouse, and Data Mining, discusses how organizations are collecting a broader variety of data at greater velocity and how the technologies for storing, analyzing, and reporting data must be powerful and fast enough to do so. According to a study by McKinsey Globall Institute (2011), organizations capture trillions of bytes of information about their customers, suppliers, and operations through digital systems. This represents a 40 percent projected annual grow2. Was reducing cost the primary driver of this investment? Explain why or why not. th in the volume of data generated!

1. Turn to page 68 and read IT at Work 3.1 – Data Errors Increase Cost of Care by Billions of Dollars and Risk Lives.
2. Respond to questions 1, 2 and 3.
3. Turn to page 82 and read Case 2 – Global Defense Contractor Gains Competitive Edge with Analytics
4. Respond to questions 1 through 4.
5. 1. What are two examples of waste in the health care supply chain as a result of dirty data in an organization? Discuss each example. (notice the point value of this question.

2. Why was data synchronization necessary to reduce inefficiency? Explain your response.

3. How can accurate data and verification systems deter fraudulent (unauthorized) purchases? Use examples.

4. What change triggered BAE Systems’ interest in analytic’s?

5. What risk did the company face for poor performance? Explain why this was a risk.

6.Was reducing cost the primary driver of this investment? Explain why or why not.

7. Assuming that government contracts are awarded to a large extent on cost with the lowest bid the winner, how did BAE Systems gain a competitive edge on its competitors?

1. What are two examples of waste in the health care supply chain as a result of dirty data in an organization? Discuss each example. (notice the point value of this question.