EXCEL TO ANALYSE THE DAILY BANKING OPERATIONS
- Abirami Ramasubramanian
- 3 days ago
- 2 min read
During my years as a bank teller, one of the biggest daily challenges was managing cash flow. Some mornings, customers would flood in, and we’d suddenly find ourselves short of cash at one counter and overloaded at another. By the end of the day, we’d be balancing piles of notes, making sure everything matched perfectly and sometimes it didn’t. That’s when I started thinking, what if we could see these patterns clearly before the day even began? When I began learning data analytics, I decided to turn that question into a project something that could actually make day-to-day banking operations smoother.
The Idea Behind the Project
I wanted to create a simple tool to help a branch understand daily cash inflow and outflow patterns how much cash was coming in, how much was going out, and whether we were keeping too much or too little at the counters. I chose Excel for this project because it’s already familiar in the banking environment, and I knew it had powerful features beyond just Data entry. Here’s a snapshot of my Excel dashboard showing daily cash inflow, outflow, and teller performance with sample data
Tools and Methods Used
I built the project using : - 1. Excel Pivot Tables to summarize daily transactions. 2. Formulas like SUMIFS, VLOOKUP, and IF to automate calculations. 3. Conditional Formatting to instantly highlight days when cash balance crossed safe limits. 4.Power Query to clean and combine data from different days. 5.An interactive dashboard that displayed daily inflow, outflow, teller performance, and closing balance trends.
What I Discovered
Once I started analyzing the data, some interesting patterns appeared Certain weekdays consistently had excess closing balances, showing the need for better vault transfers. Teller wise comparisons revealed small differences in transaction volumes which is useful for coordination and training.
What I Learned
This project was more than just Excel practice it was about connecting my banking experience with my new data analytics skills. I learned how data can turn everyday challenges into clear, actionable insights. It also gave me confidence that I can take real world problems and solve them using analytical thinking, not just manual effort.
Final Thoughts
My Bank Operation Management Project reminded me that data analytics isn’t just for tech companies or large systems. Even a simple Excel dashboard can make a real difference in how we work. For me, this was the perfect bridge between my past in banking and my future in data analytics. It proved that meaningful insights often come from the tools we already have as long as we know how to use them differently.
Call to Action
If you’re starting your data analytics journey, try building something from your own work experience. You’ll be surprised how much insight your data holds as I experienced.
