Business Analytics — Winter 2023

Explain the role of a data warehouse in the context of Business Intelligence. What are its primary functions?

What is a data lake, and how does it differ from a traditional data warehouse?

Discuss the key components of BPM and their role in monitoring and improving business performance.

What is OLAP? Discuss the typical operations performed in OLAP systems.

List and describe some common types of charts and graphs used in business reporting and data visualization.

What is web mining, and what are its primary objectives and challenges?

What is big data? Discuss 4Vs of Big Data.

Describe the key stages of the Business Performance Management (BPM) cycle. How does it help organizations in improving their performance?

Describe the process of data extraction, transformation, and loading (ETL) in the context of data warehousing?

Describe the key steps in the data mining process, from data preparation to model deployment.

How can sales and marketing analytics help organizations in optimizing their strategies and increasing revenue?

Discuss the primary needs and objectives that drive organizations to adopt Business Analytics practices.

What is Business Analytics? Discuss the various types of analytics.

What is Digital Data? Discuss the types of digital data.

Explain the ER (Entity-Relationship) model and its relevance in OLTP systems.

Discuss the point of differences between Business intelligence and business analytics.

Write a Note on Snowflake Schema.