In social network analysis, networks and graphs are used to investigate social structures through network and graph theories. This is emerging as an essential tool to understand customer behavior and influence user behavior. As the name suggests, in this session, we'll understand the power of social media analytics and see some real-world case studies.
Learning outcomes of this session are:
- What is Social Network Analytics?
- Importance of Social Network Analytics (SNA) in today's times
- Mathematical Understanding of SNA
- Use of SNA as a Marketing tool
- Use of SNA for Fraud Detection
- Industry Tools for SNA
About the Speaker
Kavita is an analytics leader and avid speaker with 15+ years of core hands-on experience in various industries. She is a Lead Consultant for Risk and Fraud Analytics at Tata Consultancy Services. Before this, Kavita has been the Head of Data Science at ISM and the Head of Enterprise Analytics at Vodafone. She has also worked with Fair Isaac, Experian, Accenture, and Infosys. During her career, Kavita has worked across multiple domains like Banking, Telecom, HR, and Insurance. She has an excellent record of leading performance-driven teams focusing on driving tangible business impact through Data Science. For her, getting up and learning every day is the only way you can excel in Data Science roles. She enjoys working on new problems across domains and finding analytical solutions, speaking and networking in conferences, and believes that this profession never has a dull day.
