Daily Accounting Report Automation for Global Auditing Firm
Deloitte (Accounting & Audit Division)
Date: 00.00.00
Overview
Problem:
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Manual extraction of transactional data from 10+ banking portals into Excel, leading to 8+ hours/day wasted on data entry.
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Frequent errors in reconciliation due to inconsistent formatting across sources.
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Delayed financial reporting for clients.
Goal:
Automate daily accounting report generation by:
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Scraping transactional data from banking portals.
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Cleaning, standardizing, and consolidating data into a unified Excel report.
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Reducing manual effort by 90% while ensuring audit-ready accuracy.
Technologies Used:
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Python: Web scraping (Selenium, BeautifulSoup), data cleaning (pandas).
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Excel/VBA: Automated report formatting, reconciliation macros.
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Power BI: Dashboards for anomaly detection.
Results (Overview):
Reduced report generation time from 8 hours to 45 minutes daily, with 99.8% data accuracy.
Results (Detailed):
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Automated Data Scraping: Built Python scripts to log into banking portals, extract CSV/PDF data, and convert it into structured Excel tables.
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Data Standardization: Created VBA macros to auto-format currencies, dates, and account IDs across sources.
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Error Flagging: Integrated Power BI dashboards to highlight mismatches in reconciled totals.
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Client Deliverables: Auto-generated Excel reports with pivot tables and audit trails emailed daily.
Final Solution:
A zero-touch reporting system enabling Deloitte to:
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Deliver client reports 2 days faster.
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Reassign 5 FTEs to high-value tasks.
Client testimonial
5.0
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John Doe
Co-Founder at Google