The document outlines key questions related to business analytics, including its role in decision-making, definitions of various data-related concepts like databases and data warehouses, and the challenges posed by unstructured data. It also discusses social media analytics, the differences between OLAP and OLTP, as well as different types of analytics and their applications in business, including data mining and machine learning. Additionally, it covers the characteristics of big data and practical applications of data mining.

1. Business analytics Important questions
1. Explain the Importance of business analytics in decision making
2. Explain the following :
 Database
 data warehouse
 Examples of machine generated data
 dashboard
 types of data and their characteristics – unstructured, structured, semi-
structured
 challenges of using unstructured data
 Uses of Mobile Analytics
3. Explain social media Analytics with some examples
4. Differentiate between olap and oltp
5. Explain with examples, business intelligence Applications
6. Discuss with Examples ,different types of Analytics(Descriptive, Predictive etc..)
7. Data mining process - Explain CRISP-DM
8.Explain Practical applications of data Mining in business
9. What is big data ? describe the characteristics of big data
10. explain the types of machine learning
11.