July 6-7 || July 13-14
As per the Global Human Capital Trends:
In 2015, a mere 24% of HR organizations felt ready for analytics. This number increased to 32% in 2016.
In 2017, 71 percent of companies saw HR analytics as a high priority in their organizations (31 percent rate is very important).
In 2018, 84 percent of HR respondents viewed HR Analytics as important or very important, making it a second-highest-ranked trend in terms of importance.
"According to IBM and Oracle, organizations that are good at using HR analytics perform better on every metric.“
HR Analytics is being applied to a wide range of business challenges: Recruiting remains the No. 1 area of focus, followed by Performance measurement, compensation, workforce planning, and retention.
HR professionals with 2-8 years of experience
Participants must possess basic knowledge of MS Excel
Comprehending, understanding, analyzing data using statistical tools.
Deriving useful insights from the analyzed data and implementing it as well.
Understand Data Mining and its practical applications.
Gaining a deeper understanding of the use of HR Analytics in key areas of Human Resource.
Dr. Das is Chair Professor (Analytics) with SOIL. He is a renowned researcher, academician and leader in Business Analytics with a distinction of having both corporate and academic leadership experience. He is a consultant, trainer, and advisor in various government agencies and management consulting firms. He has over 24 years of teaching, training, research, consultancy and academic administration experience in leading Management Institutes.
Bianka is a seasoned academician, researcher, and consultant with over 14 years of in-depth experience in the field of Business Analytics. Bianka has a rich experience in training and consulting in the area of Business Statistics, Data Mining through Machine Learning, Predictive and Prescriptive analytics across different functional areas such as HR, Marketing, Cyber Security and Supply Chain.