Business Analytics Notes
Unit 1: Business Analytics Basics
Definition of analytics, Evolution of analytics, The Growing Role of Business Analytics, Business analytics vs business analysis, Business intelligence vs Data Science, Data Analyst Vs Business Analyst, Types of Analytics – Descriptive, Diagnostic, Predictive, Prescriptive, Concept of insights.
Importance of data in business analytics, Differences between data, information and knowledge, Quality of data, 5Vs of Big Data, Big Data Collection and Ethics, Data sources and collection methods, Data privacy, security, and ethical considerations.
Unit 2: Analytical decision-making
Analytical decision-making process, characteristics of the analytical decision making process. Breaking down a business problem into key questions that can be answered through analytics, Characteristics of good questions, Skills of a good business analyst, The Basic Tools of Business Analytics – Data exploration and visualization (using tools like Excel, Tableau, or Power BI), Concept of Statistical analysis and hypothesis testing (Hypothesis testing numerical / tests not expected) Data Visualization: Concept of Data Visualization, Popular Data Visualization tools, Exploratory Data Analysis(EDA), Data Cleaning, Data Inspection.
Unit 3: Business Analytics in Marketing and Finance
Marketing Analytics, Customer segmentation, targeting, and positioning, Campaign management and ROI measurement, Data-driven marketing strategies. Financial Analytics – Risk management and credit scoring, Financial forecasting and planning, Case studies: Financial performance improvement through analytics (Non-Statistical – Conceptual Treatment only).
Unit 4: Business Analytics in HR and Operations
HR Analytics – Workforce planning and talent management, Employee engagement and performance measurement, Case studies: Enhancing HR practices with analytics.
Operations Analytics – Process optimization and efficiency improvement, Supply chain analytics and logistics management, Case studies: Operational excellence through analytics Non-Statistical – Conceptual Treatment only).
Unit 5: Business Analytics in Health Care and Agri Business
Health Care Analytics – Patient care optimization and resource management, Predictive analytics for health outcomes, Case studies: Improving health care delivery with analytics. Agri Business Management Analytics – Crop yield prediction and supply chain management, Market analysis and risk management in agriculture, Case studies: Enhancing agricultural productivity with analytics NonStatistical – Conceptual Treatment only).
Busienss Analytics Question Bank
Please click on the link given below for question bank based on previous years question papers of Business Analytics (105) of SPPU, Pune. This question bank or previously asked questions are useful to MBA I Year students.