Integrated, Automated and Predictive Dashboard for Enhance Decision Making

Abstract

Efficient internal processes contribute much towards the growth and success of any organization. With the growth of organization, the data required in an organization also becomes massive. Collection of the data and then further analyzing it thus becomes a challenge. Lack of availability of right data at the right time may pose a challenge in making effective decision. So, there is a requirement to get the proper logical view of data from the huge volume of un-processed data. To do business analysis of un-processed data, there is a need to process that raw data so that optimal decision making can be done. This project aims in the conversion of raw data to processed one in the form of automated reports, so that it’s helpful in depicting/predicting the current trend and may help in doing analysis of future thus helping in increasing accuracy and improved decision making in project execution. Further, there is a need to develop a system so that decision making becomes easier as with large amount of data it becomes difficult to review the skill/roles, assignments of resources and also the gap between supplied and demanded resources. Building such system will help the managers to have a consolidated view of the total number of resources with their assignments, under/over allocated resources and helps them to further analyze the gaps. These kind of reports are very useful for project managers, analysts and helps them in improving the decision making and prediction.