Predictive and Optimal Decision Making for Intel's Global Business Units with ETL Processed Data using MSBI

Abstract

A decision-making process is a consequential process for any organization; decisions made by Business Leaders, Program/Project Managers or higher authority executives are very crucial for the prosperity of any organization. Business direction, time saving , efficient storage and effort saving are the key outcome achievable by converting un- processed data to information and insights. This Project aims to converting real-time raw data into consequential and subsidiary information for business analysis motive.For optimal decision making graphical representation render various report aspects like Risk Involved, Bugs (open, incoming, age of bug, bench-marking), Defects, Issues, Product Change Requests (PCRs)/ Design change request, Org Learning, Schedule tracking etc. These reports are useful for Business Leaders, analysts and Program/Project Managers to improve decision making, bringing predictability, identifying new opportunity, increase accuracy and timeliness of project / program execution.