Requirement analysis describes how business analysts prioritize and progressively elaborate stakeholder and solution requirements in order to enable the project team to implement a solution that will meet the needs of the sponsoring organization and stakeholders.
A propensity model is a statistical scorecard that is used to predict the behavior of your customer or prospect base.
<br.Propensity models are often used to identify those most likely to respond to an offer or to focus retention activity on those most likely to churn.
A case study is a "published report about a person, group, or situation that has been studied over time "If the case study is about a group, it describes the behavior of the group as a whole, not the behavior of each individual in the group.
Case studies are analyses of persons, events, decisions, periods, projects, policies, institutions, or other systems that are studied holistically by one or more methods. The case that is the subject of the inquiry will be an instance of a class of phenomena that provides an analytical frame — an object — within which the study is conducted and which the case illuminates and explicates
-> Case study/Analysis is the basic requirement to crack any BA interview
Red chilly restaurant is a Giant food chain in Bangalore with delivery and dinning. They are earning good but they want more ( greedy !!). They have heard a lot about data scientists, so they hired one. The restaurant had been collecting data on its service for the last 10 years. The data they had was too little but clean. We managed to get a glance on the data set
-Food item code
You being the new recruiter have to answer a few questions and make a recommendation engine to recommend 2 food items to a person new to the restaurant.
Though the answer is always subject to personal opinion, we can see what a general approach should be
a)Food item combination can help you recommend food items, suppose most of the people orders curd with Paratha, then you can recommend curd to a person who orders Paratha(:P).
b) A list of the most popular food item.
c) Looking at the customer’s age and sex you can decide what to offer to a new customer. If the data suggests that a girl in the age group 20-25 likes chocolate ice cream then you can recommend this ice cream to the new girl customer.