EVENT INTRODUCTION 

Business intelligence and analytics area is one of the fastest growing markets in the software landscape. Organizations are generating large amounts of data in real-time, and subsequently looking for professionals who can understand, visualize, and assess these. Deriving insights from the data drives the organizations and help them chalk the path ahead with efficient strategies and financial performances. The process of business analytics involves use of tools and methods to obtain meaning from data. Organizations use business analytics in order to

• Analyze data from multiple sources
• Use advanced analytics and statistics to find hidden patterns in large datasets
• Disseminate information to relevant stakeholders through interactive dashboards and reports
• Monitor KPIs and react to changing trends in real-time
• Justify and revise decisions based on up-to-date information

There are three primary methods of business analysis:
• Descriptive: The interpretation of historical data to identify trends and patterns
• Predictive: The use of statistics to forecast future outcomes
• Prescriptive: The application of testing and other techniques to determine which outcome will yield the best result in a given scenario

The 2nd National Business Analytics Konclave at KIIT Deemed to be University shall provide a forum to discuss the present and future of business analytics; understand the needs of data-driven organizations and scope for data-minded individuals, and debate on burning questions in an increasingly data-dependent enterprise scenario. The Konclave will host panel discussions and an array of workshops on various topics related to the theme.

Panel Discussions

• Panel 1: The path to a Business analytics professional
  
• Panel 2: Data Analytics: Challenges, Responsibilities, Social Media strategies

Topics

1 Transforming Marketing Management with analytics
2 Transforming Operations Management with analytics
3 Transforming HR Management with analytics
4 Transforming Finance Management with analytics
5 Applied Business Analytics and Forecasting
6 Proactive and Predictive Analysis: Opportunities & Challenges
7 Tools and processes for pre-processing, analyzing and post processing of data in business analytics
8 Building smarter, scalable and responsible AI for future