We brought together multiple existing internal data sets to identify trends and validate hypotheses on Success & Talent Management. Quantified the attributes with greatest impact on success of the advisors and fed the results into recruitment, development and performance management practices gaining positive business results. With the use of Machine Learning Algorithms, we had identified the most crucial factors affecting the output and created rules to predict the performance
Existing HR, Sales, Finance, Recruitment and Relationship data was brought together and advanced analytics techniques were used to determine the correlations between the data and an individual’s success. We had created business rules based on proven hypothesis and used in live scenarios. Advanced quantitative approaches like classification trees, principal component analysis, logistic regression were used to solve the situation.