Guest Lecture : Overview of Business Analytics By Dr. Sameer Rohadia

 Guest Lecture Event Report for the Academic Year 2020-22

1.      Event Title- Overview of Business Analytics

2.      Date of Event- 27th July,2021 & 28th July,2021

3.      Type of Event- Curricular

4.      Venue - Online Mode (Google Meet)

5.      Event Coordinator - Prof. Nisha Dubey

6.      Event Participant

a.       MBA-I (NCM and Others)

7.      Expert Speaker / Facilitator (if applicable )

a.       Name - Dr. Sameer Rohadia

b.      Organization - Freelancer

c.       Designation – Data Analyst and Trainer at Hannover, Germany

8.      Proceedings of the event (day wise)

(Day 1)

 

Cover Topic:

 

1. What is Business Analytics?

2. What is Big Data?

3. Big Data Application area

4. Types of Job Roles

5. India Analytics Market

 

 Takeaways / Key Point Learnings:

 Overview of Business Analytics

  "Information is the oil of the 21st century, and analytics is the combustion engine." -Peter Sondergaard, Gartner Research

 Ø  What Are Business Analytics?

It is the use of data, information technology, statistical analysis, quantitative methods and mathematical or computer-based models to help managers gain improved insight about their business operations and make better, fact-based decisions.

                 Ø  Difference between BI and BA

                 Ø  Type of Analytics

·         Descriptive Analytics

·         Diagnostic Analytics

·         Predictive Analytics

·         Prescriptive Analytics 

Ø  What is Big Data?

 

It is defined as a term which handles the combination or also single parts of Volume, Variety and Velocity of data with cost-effective, innovative forms of information processing to enable enhanced insight, decision making and process automation.

 

Ø  Type of  Data:

·         Structured

·         Semi- structured

·         Un-Structured

 

Ø  Characteristics of  Big Data: (3 Vs of Big Data)

·         Variety

·         Volume

·         Velocity

 

Ø  7 V’s of Big Data:

·         Value

·         Volume

·         Velocity

·         Variety

·         Veracity

·         Variability

·         Visualization

 

Ø  Artificial intelligence

Ø  Machine Learning

Ø  Deep Learning

Ø  IoT, Growth of IoT

Ø  Data source for Big Data

 

Ø  Data Mining:

 

It is a process that uses a variety of data analysis tools to discover patterns and relationships in data that may be used to make valid and accurate predictions.

Data Warehouse:

“A data warehouse is a subject-oriented, integrated, time variant and non-volatile collection of data in support of management decision making process.”

(Day-2)

 

Ø  Big Data Applications:

 

·         Big Data Applications in Healthcare

·         Big Data Application in Forensic Science

·         Big Data Applications in Retail

·         Big Data Applications in Banking and Financial Services

·         Big Data Applications in Insurance

 

Ø  Type of Job Roles:

 

·         Major Job Roles

·         Data Science [Who are data scientist?]

·         Data Analyst [Who are data analyst?]

·         Data Engineer [Who are data engineers?]

·         Big data Landscape Version 3.0

·         Top Big Data Tools

·         Top Data Visualization

 

Ø   Indian Analytics Market:

·         Overview of Indian Data Analytics Industry

·         Famous Big Data Startups in India

·         GIG Economy

 

9.      Take-home/learning for the students- Students got an overview of the Business Analytics, and were able to comprehend the practical usage of the analytics in various industries across the world. They also got acquainted to another career opportunity post their MBA in the field of analytics market and the different roles they can get recruited and the necessary skills for such job opportunities.

10.  Feed back of the students (Link) - Most of the students were extremely satisfied with the session and perceived the interaction to be truly motivating. https://docs.google.com/forms/d/e/1FAIpQLScrMht1NeJpDwltG7MZZVDKL64vMbhl5aZXl4ZtmM8Br_z9Og/viewform?vc=0&c=0&w=1&flr=0

11.  Photograph / Video link- https://drive.google.com/file/d/1mgUQBh8ViZXDhu65VAAdderD4_GVyZuj/view?usp=sharing