Developed a Power BI report to analyze average monthly expenses across customer segments. The ana...

Developed a Power BI report to analyze average monthly expenses across customer segments. The ana...Developed a Power BI report to analyze average monthly expenses across customer segments. The ana...

The network for creativity

Join 1.25M professional creatives like you

Connect with clients, get discovered, and run your business 100% commission-free

Creatives on Contra have earned over $150M and we are just getting started

Back to feedPost

Jyoti Dewangan

• Jan 27

Developed a Power BI report to analyze average monthly expenses across customer segments. The analysis highlights month-wise spending trends and supports data-driven financial insights.

Business Analysis Data Analysis Data Visualization Microsoft Excel Microsoft Power BI Excel VBA

Geethasree Naguboina

pro

• Mar 11

Most people think a spreadsheet and a dashboard are the same thing.

They're not.

A spreadsheet is where data lives. A dashboard is where decisions happen.

The difference:

Spreadsheet → raw, editable, flexible, built for input Dashboard → structured, visual, built for reading and decisions

The mistake I see most often: People try to do both in the same sheet.

The result?

Decision makers see too much raw data

Numbers get accidentally edited

No one knows what to trust

The fix is simple: Keep your data layer and your presentation layer separate.

Raw data in one sheet. Dashboard in another. One is for building. One is for reading.

When you separate them, updates become clean, mistakes become rare, and your reports actually get used.

A spreadsheet stores your data. A dashboard tells its story.

dataanalyst virtualassistant Business Analysis Data Analysis Data Visualization Google Sheets Microsoft Excel

Josiah Temitope

• Mar 11

You’re right .

Kris Noon

• Mar 11

Cleaned multiple messy datasets to help build an interactive dashboard giving educational decision-makers the opportunity to see how their budget (between £500k - £50M) could be spent with the highest impact for good. This takes into account deprivation, pollution levels, and density of the area.

Completed work

Data Analysis Data Science Data Visualization Microsoft Excel PostgreSQL Tableau

Geethasree Naguboina

pro

• Mar 12

Cleaning multiple messy datasets before building the dashboard is the right approach — the priority matrix with ROI across exposure bands gives decision-makers a clear framework for allocating budget where it has the highest impact. Really thoughtful work!

Sahil gaikwad

• Mar 10

This project delivers an end-to-end financial transaction analysis system combining multiple analytical tools to provide actionable insights into cash flows, customer financial behavior, fraud patterns, and balance management.