they are related hlp

Q1. Lulu company wants to optimize its products prices for boosting its revenue. The Lulu company has thousands of products over hundreds of outlets, and they dealing with different types of customers, such as ordinary customers and customers like contractors who buy in bulk. Apply a big data analytics lifecycle to develop offers for low-selling products?

Q2. What kinds of tools would be used in the following phases, and for which kinds of use scenarios?

a. Data preparation

b. Model building

Q3. Discuss the characteristics of big data? (2 marks)