• Moiz Tahir Ezzi
• Mr. Amol Bhalerao
• Dr. Bhawna Sharma Padroo

This study compares three data-entry workflows – manual keystroke entry, “basic” Excel (using spreadsheets with standard formulas), and advanced Excel automation (macros, Power Query, data validation) – to quantify gains in speed and accuracy. We find that advanced Excel automation dramatically improves performance. For example, automating repetitive tasks reduced completion time by roughly 70–90% compared to manual entry, aligning with industry reports of 70%+ time savings. Error rates also plummeted: typical manual data-entry errors (1% of fields) were nearly eliminated with built-in validation and automation, echoing studies that report 0.55–3.6% error rates in unassisted entry integrate. These improvements free hundreds of staff hours per year (e.g. a finance department saved 500 hours annually and greatly reduced redundant work. Our results reinforce prior findings on spreadsheet efficiency and suggest that organizations can markedly boost productivity by adopting Excel’s advanced tools.

Data entry, Excel, Workflow automation, Macros, Power Query, Efficiency, Error reduction ,Redundancy

"Evaluating the Efficiency of Data Entry Workflows Using Excel - How Technology Improves Performance and Reduces Redundancy", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.d509-d519, November-2025, Available :http://www.jetir.org/papers/JETIR2511355.pdf

"Evaluating the Efficiency of Data Entry Workflows Using Excel - How Technology Improves Performance and Reduces Redundancy", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppd509-d519, November-2025, Available at : http://www.jetir.org/papers/JETIR2511355.pdf