Cost Center and Approver Data
Databricks
Overview
Managing cost centers and approval workflows was inefficient, leading to delays and data inaccuracies. This project was initiated to automate data capture and integration with Field Glass, streamlining approval processes and enhancing data accuracy.
Challenge
- Time-consuming approval processes resulted in significant delays, impacting operational efficiency.
- Inconsistent data integration with Field Glass led to data inaccuracies and compliance issues.
- Manual data entry and disparate systems caused errors and delays in cost center management.
- Limited visibility into approval workflows hindered the ability to track and manage costs effectively.
- Existing systems struggled to handle large volumes of data, affecting the ability to derive actionable insights.
Technology Stack
Databricks
Azure
Python
Field Glass
SQL
Power BI