Before automation
- Export CSV files from multiple systems
- Manually clean columns and naming inconsistencies
- Manually merge rows and remove duplicates
- Build weekly summary by hand in Excel
- Risk of missed rows and inconsistent formatting
Case Study • Automation Script Example
CSV and Excel Automation Workflow Example
Practical workflow example for reducing repetitive cleanup and reporting tasks with an automation-first process.
ExampleAfter automation
- Drop files into a single input folder
- Run one command for cleanup and merge
- Generate standardized summary output
- Produce repeatable naming/report format
- Reduce manual time and error risk
Code-style flow block (illustrative)
# Example workflow (illustrative)
load_csv_folder("incoming/")
normalize_headers()
trim_whitespace()
standardize_dates("MM/DD/YYYY")
merge_records(key="client_id")
remove_duplicates()
calculate_summary_fields()
write_csv("output/cleaned_report.csv")
write_excel("output/weekly_summary.xlsx")
Sample use cases
- Weekly lead-source summaries for agencies
- Invoice and fulfillment reconciliation
- Turnover cleanup operations reporting
- Client export normalization before dashboard import
Problem
Recurring spreadsheet work consumed too much manual time and created inconsistent outputs across team members.
What was built
A mapped before/after workflow with script-style processing logic and clearly defined output expectations.
What the customer would receive
- Workflow map and process notes
- Script structure and data transformation plan
- Input/output file expectations
- Review-ready automation scope package