What are Mercy's enterprise data model benefits? As a consequence of Mercy's venture into big data, is a well-designed model that outlines the organization's data requirements and goals more or less important?

How can organizations leverage data warehousing to implement advanced analytics, such as machine learning and predictive analytics, for business insights?

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

1. How can data could help to inform business decisions. Data includes political system, economic classification, gross domestic product, economic blobcs impacting trade and purchasing power parity.  For example, consider what information each data point provides, whether you think some data points should be weighted more or less heavily than others in making a business decision, What ideal data points might look like for expansion into a new market for a product such as bluethooth speakers, and the ways that different political systems may impact a decision, and so forth.

Explain the concept of data warehousing and the ETL (Extract, Transform, Load) process. How does it support business intelligence?