Ciaraldi, Michael J.
Sweeney, Kevin M.
Wall Street MQP
To reduce the time and effort required to complete the semi-annual budgeting process for the Global Markets IT division of BNP Paribas, our team designed an automated process consisting of a Python server, SQL database, and web-based front-end. Currently, to budget and forecast headcount and discretionary costs, the process requires hundreds of hours among the ITO Business Management team, team leads, and senior management. The process is complex, time-consuming, and labor intensive; it lacks a single system to input allocations, an easy way to audit activity, and a way to track multiple versions of the data sources. The new process our team designed addresses the identified bottlenecks within the current process and aims to lessen the complexity and time of the overall process.
Worcester Polytechnic Institute
Major Qualifying Project
All authors have granted to WPI a nonexclusive royalty-free license to distribute copies of the work, subject to other agreements. Copyright is held by the author or authors, with all rights reserved, unless otherwise noted.