ANU UG 4th Sem B.Com (Res) Business Analytic Important Questions

Nagarjuna University B.Com (Res) 2nd Year 4th semester Business Analytic Important Questions are now available. It is the new subject introduced by Nagarjuna University in this year. It is easy to pass this subject by preparing 1st, 4th, 5th Units from the given syllabus.

Unit wise Expected questions.

UNIT-I: 2 Questions
UNIT-II: 2 Questions / 1 Question
UNIT-III: 2 Questions
UNIT-IV: 1 Question / 2 Questions
UNIT-V: 1 Question.

Unit-I (Introduction)

1. Describe in detail the life cycle of business analytic. What are the key players in the business analytic process?[ANU-18,17]
2. Explain the business process in detail.[ANU-18]
3. What is Business Analytics? Explain in detail about business analytics as a solution for business challenges.[ANU-19,18,17]
4. Define Data. What are the different types of data?
5. Define the different types of digital data. Differentiate between structured data and unstructured data.
6. Explain the use of Excel in data visualization and exploration.
7. Critically examine the benefits of using various types of digital data, while taking decisions in an organization. [ANU-19]

 UNIT-II

1. Discuss several procedures for performing analysis of variance(ANOVA).[ANU-19,18]
2. What is ANOVA? Also state one-way ANOVA.[ANU-17]
3. Explain different types of digital data.[ANU-18]
4. Cross Tabulation of Data. 
5. Explain Univariate, Bivariate and Multivariate Data analysis. OR What is Data analysis. Also list out three basic types of data analysis and explain all of them.[ANU-19,18]
6. What is Multivariate data analysis? Also state the guidelines to be followed while selecting multivariate analysis[ANU-17]

 UNIT-III.

1. Discuss about type-I and Type-II Errors. Also state the limitations of Type-I and Type-II errors.
   Explain with an example cluster analysis.[ANU-19,17]
2. What is Market Basket Analysis? Also state various steps to conduct Market Basket Analysis using Apriori algorithm.[ANU-19,18]
3. What is cluster analysis? Explain with example.[ANU-18]
4. Critically assess the concept of linear regression analysis. Also date its role in Hypothesis testing. [ANU-18]
5. What is hypothesis testing? Also explain the logic of hypothesis testing.[ANU-17]
6. Explain statistical testing procedure.[ANU-17]

UNIT-IV ( Business Data Management)

1. Describe the components of data warehouse in detail. What are the objectives of a data warehouse?
2. Discuss in detail the different types of data warehouse architecture. What are the factors that govern the choice of a particular type of data warehouse architecture?
3. What do you mean by data warehouse? Explain the characteristics of a data warehouse. [ANU-19]
4. Define extraction. Explain the different phases of the extraction process.
5. Explain with an example the meaning of the term " data transformation".  Explain different levels of transformation.
6. Define data marts. Elaborate on the process of creating data marts.
7. Why do organizations need data integration? Describe the various approaches to data integration.
8. Define data mining . What are the steps involved in conducting data mining. How does data mining help a business firm?
9. Explain features and functions of data mining.
10. What is metadata? Write its characteristics.
11. Define Data Marts? How to create them?
12. Examine the OLAP and OLTP Techniques. Also explain their elements and structures.[ANU-18]
13. What is OLTP? State the essence and identify their suitability and relevance.[ANU-17]

UNIT-V (SPSS Packages)

1. What is SPSS Package? Explain their applications, description and essence.[ANU-18]
2. What is scope of SPSS package? Sate the rationality of this package? Also explain their suitability.[ANU-17]
3. What is SPSS Package? Sate advantages / benefits and limitations for using SPSS package.[ANU-19]
4. Explain the different steps involved in using SPSS for descriptive analysis.
5. Explain basic steps in working with SPSS.
6. Explain cross tabs in SPSS.
7. Write down the procedure for correlation using SPSS with suitable example.