PGDM Major in Business Analytics
Business Analytics, though it has been there for decades in various forms supporting business decisions, has become a watchword in the market since 2010. Recent advancements in Data Science and Big Data technology enabled Business Analytics in crunching huge amount of data to provide valuable Data-Driven Business Insights. Quick Google Search will reveal a plethora of articles, blogs and publications quoting Business Analytics as the Next Big Thing in Business world, the sexiest job in 21st Century and so on.
» Business Analyst is one of the highest paying profiles in the field of management.
» Some of the top consultancies in the country hire candidates for business analyst profiles.
» some industries needing Business analysts are:
What Does a Business Analyst Do?
- › FMCG/Consumer Durables
- › Health Care Clinical research / Pharma companies
- › Finance / Banking /Investment sector
- › Human resource management / Talent acquisition
- › Retail / Ecommerce
- › Logistics / Supply Chain
Skills required to become a Business Analyst:
- » Workswith the business to recognize opportunities for development in business operations and procedures.
- » Is included in the outline or adjustment of business frameworks or IT frameworks.
- » Interfaces with the business partners and topic specialists keeping in mind the end goal to comprehend their issues and needs.
- » Assembles, archives, and examines business needs and prerequisites.
- » Takes care of business issues and, as required, plans specialized arrangements.
- » Reports the useful and specialized plan of the framework.
- » Interfaces with framework modelers and engineers to guarantee its appropriately implementation.
- » Helpstest the framework and makes framework documentation and client manuals.
- » Evaluates competition and reviewing financial statements, along with analysing business practices.
- » Problem-solving.
- » Good communication.
- » Ability to do detailed research and interpret upcoming business trends.
- » Understanding of technology and ease of access to conduct efficient research.
- » IT, Engineering, Mathematics, or Statistics in Graduation.
- » CAT Score: over 80 percentiles.
- » Work experience: not compulsory, but those with 2 years+ experience will get preference.
With limited seats available, admission will be on first-come first-serve basis.
Electives for Business Analytics
Data Visualization for Managers: This course will give data visualization and data presentation skills to the students. This course will be important to showcase the findings/insights generated from a Business Analytics project.
Programming for Business Analytics: This course will impart Programming skills necessary to become a business analytics professional. Programming languages should include SQL, R, Python and SAS. (These days professionals with Python skills are in more demand)
Introduction to Data Science: This course will introduce students to various statistical modelling techniques like regression, classification, clustering etc. which are mainly used in Business Analytics projects.
AI in Business: This course will teach emerging concepts related to Artificial Intelligence and how they are being used in Business. Students will get hold of the skills like Computer Vision, Natural Language Processing, Reinforcement Learning etc
Marketing Analytics: This course will teach concepts like - Customer Analytics, Sales forecasting, Modelling Marketing Channel Effectiveness, how to generate meaningful Marketing Insights.
Operations Analytics: This course will teach students how the data can be used to profitably match supply with demand in various business settings. Also, how to predict the outcomes of competing policy choices and how to choose the best course of action in the face of risk.
Social Media Analytics: This course will teach students social media as a means of communicating with their customers and a way to better understand their customers. This course will help learners viewing consumer's social media activity as the 'voice of the customer' which in turn can be modelled to getmarketing insights.
Financial Analytics: This course will teach students on how financial statement data and non-financial metrics can be linked to financial performance. Students will learn how data is used to assess what drives financial performance and to forecast future financial scenarios.
HR Analytics: This course will teach how data and sophisticated analysis is brought to bear on people-related issues, such as recruiting, performance evaluation, leadership, hiring and promotion, job design, compensation and collaboration.
Big Data Management with Spark: This course will teach students on how to handle big data in business use case scenarios using Hadoop/Spark.