Faculty Advisor

Ciaraldi, Michael J.

Faculty Advisor

Konrad, Renata

Faculty Advisor

Sweeney, Kevin M.

Center

WS / Wall Street MQP

Abstract

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.

Publisher

Worcester Polytechnic Institute

Date Accepted

January 2017

Major

Management

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Computer Science

Advisor Department

Business

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