Effective Collaboration across the Globe through Digital Dash Boards and Machine Learning

In a large sized project with globally distributed environment, it is challenging to have a common information radiator across all global locations. This is so because it is difficult to make sense of the long list of tasks displayed on a single dashboard. Different time zones make it difficult to collaborate and cater to a customer who demands frequent releases and transparency. This paper demonstrates a unique solution driven by a novel mix of digitization and machine learning to solve this ubiquitous problem. Value stream mapping helped us to identify valueless paths in task assignment and hence the team developed a tool backed with machine learning which saved huge time and thus helped us to deliver our concepts faster to market. We took help of digital dash board and came up with custom unconventional dash boards, which helped our customer to understand and collaborate better with the development team located in different time zones. This paper also proposes the critical role of machine learning in project management. Improvements can be brought about in areas like task estimation, predicting task assignment to appropriate individuals, team velocity and turnaround time prediction. This paper is targeted to agile practitioners who are interested in improving workflows and building intelligent process systems using new modern technologies in globally distributed environment. This modern approach reduces waste and brings in collaboration irrespective of the locations.