What data sources can the dashboard connect to?

PostgreSQL, MySQL, and MongoDB databases via direct connection. REST APIs and GraphQL endpoints via configurable connectors. Google Sheets and CSV file uploads for manual data. Stripe, Google Analytics, and other SaaS platforms via their APIs. For the MVP we connect the two or three data sources that drive your most important metrics. Adding new sources after launch is a connector configuration, not a code rewrite.

How does real time data work in the dashboard?

The dashboard polls your data sources on a configurable interval, typically every 30 seconds to 5 minutes depending on your needs. When new data arrives, the charts animate smoothly to reflect the updated values. For truly real time use cases (live sales, active users), we can use WebSocket connections that push updates to the dashboard instantly. The polling approach works for 90% of dashboard use cases and keeps infrastructure costs low.

Build an Analytics Dashboard MVP

Build an Analytics Dashboard MVP
Charts, Reports, Alerts. 2 Weeks.

Dashboards fail when they show data nobody acts on. We build analytics tools around the three to five decisions your team makes every week, with the exact metrics, filters, and drill downs that inform those decisions. Interactive charts, real time data pipelines, scheduled reports, and role based views ensure every user sees exactly what they need to act on.

14 day delivery

Real time data

Full source code

Get Your Fixed-Price Estimate or book a 15-min fit call→

MVP Cost Calculator

Estimate the cost of your analytics dashboard MVP in 60 seconds.

Try it free — no signup required

What Ships in Your Dashboard MVP

Interactive charts, data tables, metric alerts, and scheduled reports. Your team can start making data driven decisions on day 15.

Interactive line, bar, and area charts with zoom, hover tooltips, and date range selection

Breakdown visualizations with pie charts, donut charts, and stacked bar comparisons

Data tables with sorting, filtering, pagination, and inline sparkline mini charts

Global and per widget filters for date ranges, segments, categories, and custom dimensions

Real time data refresh with configurable polling intervals and live update indicators

Data pipeline that ingests from APIs, databases, CSV uploads, and webhook events

Report export to CSV, PDF, and scheduled email delivery for stakeholders

Metric alerts that trigger when KPIs cross thresholds you define

Role based dashboards where each team sees their relevant metrics and drill downs

Row level data access control so departments only see their own numbers

Dashboard builder with drag and drop widget placement and saved layouts

Executive summary view with top level KPIs, trend arrows, and period comparisons

Analytics Dashboard Architecture

Next.js renders the dashboard shell with server components for initial data loads and client components for interactive chart interactions. The data layer connects to your source systems (databases, APIs, spreadsheets) through configurable connectors that normalize data into a standard schema. PostgreSQL stores the normalized metrics with time series optimized indexes for fast aggregation queries. The charting layer uses Recharts for interactive visualizations with smooth animations and responsive sizing. A background job runs on a configurable schedule to pull fresh data, compute aggregates, and check alert thresholds. When a threshold is breached, the system sends an email or Slack notification. Role based access middleware ensures each user sees only the dashboards and data rows their permissions allow. Export jobs generate CSV and PDF files asynchronously and deliver them via email.

Tech Stack

Purpose built for data visualization. Fast queries, smooth charts, and reliable data pipelines.

Next.js

Frontend and API

TypeScript

End to end type safety

PostgreSQL

Data storage

Drizzle ORM

Type safe queries

Recharts

Chart visualizations

Better Auth

Authentication

Tailwind CSS

UI styling

Resend

Report delivery

Vercel

Frontend hosting

Railway

Database hosting

14 Day Build Timeline

Day 1 to 2

Data Model

Discovery call, identify key metrics, data source mapping, database schema, auth and role setup.

Day 3 to 5

Core Dashboard

Chart components, data tables, filter system, date range picker, executive summary view.

Day 6 to 8

Data Pipeline

Source connectors, data ingestion jobs, aggregation queries, real time refresh, caching layer.

Day 9 to 11

Advanced Features

Metric alerts, report export, scheduled email reports, role based views, dashboard builder.

Day 12 to 13

Polish

Performance optimization, responsive design, accessibility, loading states, error handling.

Day 14

Launch

Production deployment, data source connection, team onboarding, monitoring, founder walkthrough.

Analytics Dashboard MVP, Fixed Price

$7,499

14 day delivery • Real time data included • 30 day support

50% upfront, 50% on delivery • Enterprise dashboards from $14,999

Start Your Dashboard MVP

See an Operations Dashboard We Built

FleetPulse: a logistics operations dashboard that consolidated five spreadsheets into one real time view. Route optimization metrics, driver performance, and cost per delivery all visible at a glance.

Read the FleetPulse Case Study