I need help answering the following question  How do business intelligence and data visualization work together to help decision-makers and data users? What can I include to Support my response with 2 specific use cases.

Analyze the impact of data warehousing in business intelligence and decision-making processes, using real-world examples.

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?

Discuss the importance of data quality in decision-making. What are the common challenges organizations face in maintaining data quality?

Review the example Code of Ethics for Data Analysts Answer the following question in 3-4 paragraphs: Explain the importance of an ethical approach for data analysis and business decision making. Then, discuss some of the potential pitfalls of hypothesis testing.  Finally, identify some of the legal regulations in various industries that impact ethics and decision making.

Discuss the concept of data integration in data warehousing. Why is it essential for effective data analysis in business intelligence?

Explain the role of data quality management in ensuring accurate and reliable data for decision-making.

How does data modeling support the development of effective Business Intelligence (BI) systems?

What may happen if indexing decisions are made that are inappropriate?

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.