Given below is the Question Bank useful for Course/Subject Business Analytics of MBA First Year of SPPU 2024 pattern.

Answers of these questions will be updated shortly. Do visit again.

SHORT ANSWER QUESTIONS (2 Marks)

  • Define Business Analytics. (Repeated ×2)
  • What is Big Data? (Repeated ×2)
  • Define Predictive Analytics. (Repeated ×3)
  • What is Data Privacy and Data Security? (Repeated ×2)
  • Give sources of data (any four). / List data sources. (Repeated ×2)
  • What are the characteristics of Data Quality? (Repeated ×2)
  • Define EDA (Exploratory Data Analysis). (Repeated ×3)
  • What is meant by Data Ethics? (Repeated ×2)
  • What is a Hypothesis? State its types. (Repeated ×3)
  • List common Data Cleaning operations in Business Analytics. (Repeated ×3)
  • Define Data and Information. (Repeated ×2)
  • Define Data Visualization. (Repeated ×3)
  • Give objectives of Financial Analytics. (Repeated ×2)
  • Give benefits of Operational Analytics. (Repeated ×2)
  • List tools used for Business Analytics. (Repeated ×2)
  • Define Talent Management. (Repeated ×2)
  • Explain Data Collection (brief). (Repeated ×2)

MEDIUM ANSWER QUESTIONS (5 Marks)

  • Explain types of Analytics – Descriptive, Diagnostic, Predictive, Prescriptive with examples. (Repeated ×3)
  • Explain the 5 V’s of Big Data with examples. (Repeated ×3)
  • Differentiate between Business Analysis and Business Analytics. (Repeated ×2)
  • Explain skills of a Business Analyst. (Repeated ×3)
  • Differentiate between Business Intelligence and Data Science. (Repeated ×2)
  • Explain the concept of Data Exploration and Data Visualization. (Repeated ×3)
  • Explain the Analytical Decision-Making Process and its characteristics. (Repeated ×3)
  • Explain benefits of Data-Driven Marketing. (Repeated ×3)
  • Explain challenges of Data-Driven Marketing. (Repeated ×2)
  • Define Hypothesis Testing. Explain its elements with a business example. (Repeated ×3)
  • Explain importance of Business Analytics in HR. (Repeated ×2)
  • Explain importance of Business Analytics in Healthcare. (Repeated ×3)
  • Explain Big Data collection methods and ethical issues. (Repeated ×2)
  • Explain secondary data collection methods. (Repeated ×2)

LONG ANSWER QUESTIONS (10 Marks)

  • Explain Customer Segmentation, Targeting and Positioning (STP) using Marketing Analytics with examples. (Repeated ×4)
  • Explain how Operational Analytics helps in achieving Operational Excellence in organizations / manufacturing companies. (Repeated ×4)
  • Explain Workforce Planning, Talent Management, Employee Engagement and Performance Measurement using HR Analytics. (Repeated ×3)
  • HR Case Study: Employee turnover analysis using HR Analytics and recommendations. (Repeated ×3)
  • Explain Patient Care Optimization and Healthcare Delivery using Analytics. (Repeated ×4)
  • Explain Data Visualization and discuss types of plots used in Business Analytics with examples. (Repeated ×4)
  • Define EDA. Explain techniques and applications of Exploratory Data Analysis. (Repeated ×4)
  • Explain benefits and challenges of Predictive Analytics in Healthcare. (Repeated ×3)
  • Explain Statistical Analysis and its key components. (Repeated ×2)
  • Explain the role of Statistical Tools in Hypothesis Testing in Business Analytics. (Repeated ×3)
  • Explain Financial Forecasting and Planning using Business Analytics / Proforma Statements. (Repeated ×3)
  • Case Study: Agriculture / Agribusiness – Market analysis, risk management, sustainability and profitability using Analytics. (Repeated ×4)
  • Case Study: Green Harvest / Agribusiness productivity improvement using Business Analytics. (Repeated ×3)

Answers of these questions will be updated shortly. Do visit again. Thank you.

Business Analytics Notes

Given below is the link to access Notes on Busienss Analytics (105).

Click Here for Notes