USE OF EXPLORATORY DATA ANALYSIS AND VISUALIZATION TECHNIQUES TO MEET ORGANIZATION STRATEGIC GOALS

In the era of frequently changing technology and requirements, a competitive team is much needed for the product development. One of the challenging tasks for the Managers are how to effectively analyze the clustered data and use it to visualize the pattern and find the gap areas. To address these gap areas, department needs to first perform Exploratory Data Analysis (EDA) on the available datasets to detect obvious errors, identify outliers in datasets, understand relationships, unearth important factors, find patterns within data, and provide new insights. Secondly, after data has been collected, processed, and modeled, it must be visualized for conclusions to be made. This research will provide an insight on how the existing data could be leveraged to improve departments sustainable growth. To have a better overview on the phenomenon at hand, this research includes a survey from different project teams in the department which investigates the individual competencies and skill set, motivational factors, satisfaction and dissatisfaction, performance level, roles and responsibilities, attrition rate, training needs and effectiveness etc. There are challenges that managers and leaders can mitigate or provide preventing solutions. The analysis section sheds light on them (Ex: attrition) by finding right pattern between problem and solution using EDA and Visualization. These findings are useful for managers who have a task to improve their department competency but are unaware on how to process and visualize the existing data sets effectively. It will also help departments in the organization to retain and improve the quality of their talent pool.