We have pleasure in placing before the teachers and the taught, our new book BUSINESS ANALYTICS – I, written as per the New NEP Syllabus for Fifth Semester, B.Com., of Bengaluru City University. The attempt is to help the student fraternity gain sound foundational knowledge of Business Analytics irrespective of the discipline or special electives they may have chosen. The best way to benefit from this book will be to learn and exploring the sources of knowledge complied in this book as well as studying.
This book on “Business Analytics”, is one of the hottest technology topics in the world, which is a strange mix of arts, sciences and technologies. Analytics is an umbrella term referring to the processes, technologies and techniques, which turn data into information and knowledge that drive business decisions. Business analytics are used in industries like financial services, retail, healthcare, manufacturing, energy, oil & gas, telecom, sports, social media, gaming, e-commerce, e-governance etc.
The books has 5 modules.
Module 1 – Introduction to Business Analytics
Module 2 – Role of Data in the Organisation
Module 3 – Tools Used for Data Analytics
Module 4 – Data Visualization Using Tableau
Module 5 – Business Performance Management
Contents –
MODULE 1 INTRODUCTION TO BUSINESS ANALYTICS
Business Analytics, Terminologies used in Analytics: Business Analytics, Business Intelligence, Meaning, Importance, Scope, Uses of Business Analytics, Architecture of Business Analytics, Types of Analytics: Descriptive, Diagnostics, Predictive, Prescriptive; Areas of Application of Business analytics; Introduction to Data Science and Big Data.
MODULE 2 ROLE OF DATA IN THE ORGANIZATION
Role of Data in Decision making, Importance of data quality, Sources of data, Types of Digital Data- Structured, Semi Structured, Unstructured Data; Data warehouse, Data mining, Data Integration – Meaning, Need, advantages of each.
MODULE 3 TOOLS USED FOR DATA ANALYTICS
Introduction to data analytics software – Types of data analytics software – open source and proprietary software.
Open Source: R- programming, Python, Gretel, JAMOVI; Proprietary Sources- SPSS, E-Views, Tableau, Power BI.
MODULE 4 DATA VISUALIZATION USING TABLEAU
Introduction to Dimensions and measures, Types of Charts, (Pie Chart, Column Chart, Line Chart, Bar Chart, Area Chart, Scatter Chart, Bubble Chart, Stock Chart); Basic understanding in dashboard and storyboard. (Practical examples using Tableau – Public Version).
MODULE 5 BUSINESS PERFORMANCE MANAGEMENT
Business performance management cycle, KPI, Dashboard Analytics in Business Support Functions: Sales & Marketing Analytics, HR Analytics, Financial Analytics.
