Business Analytics and Big Data Analytics Workshop

What is Business Analytics?

Business analytics is how organizations interpret data in order to make better business decisions and to optimize business processes. Analytical activities are expanding fast in businesses, government agencies and not-for-profit organizations.

Analytics involve use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based decision-making. Analytics may be used as input for human decisions; however, in business there are also examples of fully automated decisions that require minimal human intervention.

Decisions based on data provide a competitive edge to today’s business. Taking the cognizance of the fact that this field is growing very rapidly, many large domestic IT consultancy and service companies have already established a separate “BI” practice.

Objective of the Workshop

This program is designed to develop a thorough understanding of following Data Analysis Techniques:

• OLAP
• Business Forecasting
  1. Time Series Forecasting
  2. Causal Techniques (Linear Regression)
• Data Mining (including Text Mining, Sentiment Analysis)

Target audience 

Business executives (Marketing, FInance, Operations, HR, IT, etc.) preferably with a few years of experience. IT knowledge is not required.

Takeaway

At the end of the workshop participants will be able to understand the concepts and how to use certain Data Analysis Techniques. Armed with the concepts, demonstration and hands-on on various tools, participants will be able to use various Data Analysis Techniques for Decision Support

Pedagogy

The workshops will be business case centric, namely, will concentrate on the issues involved in the business, and then discuss the concepts and Data Analysis techniques that will address those issues. The workshop will be an optimal mix of classroom discussions, group discussions amongst the participants, demonstration and hands-on.

The program will have interactive sessions, including:

• Presentation on concepts
• Cases discussion on application
• Paper exercises / demonstration using tool
• Hands-on

Tools:  Excel, XLMiner, SPSS, Tableau