There are a number of benefits for Mercy to adopt a corporate data model. With Mercy's extensive entry into big data, the issue arises: how crucial is it for the organization to have a well specified model that details its data needs and objectives

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?

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?

The implementation of Business Intelligence is not without its difficulties, so what are they?

Advise the Chief Data Officer of Coca Cola on some of the data mining mistakesthat are often experienced by organisations and data professionals that heshould try to avoid.

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 precise terms: 1. What is business analytics? What is the processes and problems? Give illustrations. 2. What are the differences and similarities of data collection and data mining? Give illustrations. 3. What are the differences and similarities of descriptive, diagnostic, predictive and prescriptive? Give illustrations.

To put it another way, what exactly is "Big Data?" What are the most significant benefits that firms may get from using big data?

Describe the value of business intelligence and the role that BI software plays in achieving that value.

Describe the purpose of business intelligence and the importance of BI tools.