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Anil MauryaSoftware · AI · Automation

Data & Analytics

Business Analytics Dashboard

A demonstration dashboard combining sales, collections, stock and operational data from several sources, with drill-down to transactions and threshold alerts.

Demo buildData & Analytics
Type
Demo build
Category
Data & Analytics
Features
9 documented
Stack
6 technologies
The problem

What the business was dealing with

An owner's numbers live in billing software, a stock spreadsheet, bank statements and a sales team's notes. Producing a combined picture means asking three people and waiting two days, by which time the figures describe a situation that has already moved. Two departments regularly present different answers to the same question because each calculates it differently.

The approach

How it was solved

A dashboard built on an agreed metric layer: each measure defined once, calculated one way, documented. Data is collected from each source on a schedule appropriate to it, with freshness shown on screen so nobody acts on stale figures. The layout is designed for a phone first, because that is where an owner actually checks. Threshold alerts push to WhatsApp when collections fall behind target or receivables cross terms.

Interface

Illustrative screens

These are abstract representations of the interface layout, drawn in CSS — not screenshots of a client system. They show structure rather than data.

Executive overview. Headline measures with trend, target comparison and the age of each underlying source.Illustrative UI
Drill-down. Any figure opens to the transactions behind it, so numbers can be verified.Illustrative UI
Mobile view. The same numbers laid out to be read on a phone in under two minutes.Illustrative UI

Main features

  • Metric layer with documented definitions and calculation logic
  • Scheduled collection from databases, billing software, spreadsheets and APIs
  • Executive overview with headline measures and data freshness indicators
  • Drill-down from any summary figure to the underlying transactions
  • Period-on-period, target-versus-actual and branch comparison views
  • Threshold alerts over WhatsApp and email
  • Scheduled daily snapshot delivery each morning
  • Role-based visibility by branch, region and function
  • Excel and PDF export for board and bank reporting

What this demonstrates

The engineering problems this project exists to show we can handle.

  • A metric layer that produces one agreed set of numbers
  • Pipeline scheduling with visible data freshness
  • Drill-down from aggregate to transaction for verifiability
  • Dashboard design that works on a phone rather than a shrunken desktop

Technology stack

  • Next.js
  • PostgreSQL
  • FastAPI
  • Recharts
  • Scheduled data pipelines
  • Tailwind CSS

Want something like this for your business?

Your operational detail will differ — that is normally where the real work is. Tell us how your process runs and we will scope it honestly.