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Greta.Agency
Analytics Dashboard Agency · 2026

Build Your Analytics Dashboard in 4 Weeks

Think of your analytics dashboard like a car's instrument panel. Instead of guessing how fast you're going, you glance at the speedometer. We build that panel for your business — showing your most important numbers, live, in one place. We deliver it in 4 weeks, not 4 months.

Right now you probably switch between five browser tabs to find your key numbers. You export spreadsheets on Mondays. Someone always asks "whose numbers are we using?" A custom data dashboard ends that. Every metric your team needs — revenue, users, pipeline, support tickets — all live, all in one screen. No licence fees for a giant BI platform. No six-month agency project. Just a clean, working reporting dashboard built for your team, starting from £8,000.

4 weeks

Delivery timeline

Real-time

Live data updates

Any source

DB · API · CSV

£8k

Starting price

What is an analytics dashboard and why does your team need one?

An analytics dashboard is a live, interactive web page that pulls numbers directly from your databases and tools — and shows them as charts, scorecards, and tables. Unlike a weekly report or a static spreadsheet export, it reflects what is happening right now. Revenue, conversion rates (the percentage of visitors who buy), active users, pipeline value — all updated automatically, all in one place. Think of it like a live scoreboard for your business.

Most teams hit the same breaking point around the same time. The business grows past five people, the number of tools grows with it — a CRM (customer management tool) here, a payments platform there, a product analytics tool, a support inbox — and suddenly nobody has one reliable source of truth. The CEO is looking at last Tuesday's spreadsheet. The head of sales is in Salesforce. The product team is in Mixpanel. Nobody is looking at the same picture. Decisions slow down, or get made on stale data.

A custom analytics dashboard solves this directly. It pulls every metric that matters — from every source your business uses — into one structured view. Filters let you slice by date, region, product line, or customer type. Drill-downs let you move from a top-line number to the rows underneath in 2 clicks. Role-based permissions mean each person sees exactly the data they need — and nothing they should not. The result is faster decisions, fewer meetings spent arguing about whose numbers are right, and a team that can actually act on what is happening.

Not sure if you need a full dashboard or just a minimum viable product version to test the idea first? We can help you figure that out on a free 30-minute call. Many of our clients start with a simple 3-metric dashboard and grow it over time. Book a free call and we will tell you honestly what you need.

6 key analytics dashboard development features

Every analytics dashboard Greta builds includes these six core capabilities. Each one is built for real-world use by non-technical teams — not just data engineers. You should not need a degree to read your own business numbers.

Real-time charts (Recharts, Nivo, D3)

Interactive line charts, bar charts, area charts, scatter plots, and heatmaps. Charts are like a graph in a school textbook — except they update every 30 seconds to 15 minutes automatically. Your team is always looking at live data, not yesterday's export.

KPI metric cards with trend indicators

KPI cards are like the big numbers on a scoreboard. Revenue, daily active users, conversion rate, pipeline value — each one with a small arrow showing if it went up or down versus last period. One glance tells you if the business is moving in the right direction.

Multi-source data connectors

We connect to your PostgreSQL, MySQL, BigQuery, Snowflake databases, REST APIs, Google Analytics 4, Stripe, HubSpot, Mixpanel, and CSV file uploads. Think of these connectors like plugs — we plug your dashboard into every data source you already use. All data fetching happens on the server, so sensitive credentials never touch the browser.

Drill-down and pivot reports

Click any chart bar or table row to see the detail underneath. It is like clicking a folder to see the files inside. Pivot tables let you group and sort numbers across different angles — without needing to know SQL (the language used to query databases). Power users get depth; everyone else gets a clean summary view.

Date range filters and segment controls

A date picker with presets — Today, Last 7 days, Last 30 days, Quarter to date, custom range — applies to every chart and card on the page at once. Secondary filters for region, product, channel, or team help you answer the 'why' without leaving the dashboard.

User-level permissions and PDF/CSV export

Role-based access control means each user only sees the data they are allowed to see. A regional manager sees their territory. The CEO sees everything. One-click PDF snapshot and CSV export let your team share the current view in a board pack or client report — without taking a screenshot.

Quick Start

Ready to build?

Let's bring your idea to life. Fast, affordable, and production-ready.

BUILD IT FAST

Ready to replace five browser tabs with one dashboard?

Book a free 30-minute call. We will map your data sources, agree the core KPIs, and give you a fixed-price quote within 48 hours.

TALK TO A FOUNDER

Not sure where to start?

Book a 20-minute call. We'll map out your scope, tech stack, and go-to-market plan — for free.

How Greta builds your analytics dashboard — 5 simple steps

We have built this process like chapters in a book. Each step has a clear start, a clear end, and something you can review before we move on. No surprises, no endless back-and-forth. As a focused MVP development agency we keep projects tight, fast, and predictable.

  1. 01

    Discovery & data audit (Day 1–3)

    We run a focused one-hour session to understand which KPIs the dashboard must surface and which decisions it needs to support. We then audit every data source — your databases, SaaS tool APIs (the connection points between apps), CSV exports — to check data quality and access. Think of this like a doctor's check-up before a procedure: we need to know what we are working with before we start.

  2. 02

    Metrics design & wireframe approval (Day 4–7)

    We design the metric hierarchy: which numbers sit in primary KPI cards, which live in trend charts, which belong in drill-down tables. A wireframe (a black-and-white sketch of the layout) is reviewed and signed off before any code is written. This step prevents expensive rework and ensures the dashboard answers the questions your team actually has.

  3. 03

    Data pipeline & connector build (Week 2)

    We build server-side connectors to each data source, write transformation logic to normalise units and currencies, and configure caching (temporary storage that keeps queries fast). We validate that every metric on screen matches the source of truth. Security review is included — credentials never touch the browser.

  4. 04

    Dashboard UI build (Week 3)

    We build the full dashboard interface: KPI cards with period-over-period comparisons, interactive charts, date range and segment filters, drill-down report views, and role-based data visibility. The UI (user interface — the part you see and click) is fully responsive and styled to your brand. It looks like a product you built, not an off-the-shelf tool.

  5. 05

    QA, export, permissions & go-live (Week 4)

    QA (quality assurance — checking everything works correctly) means we compare every dashboard figure against the source system before launch. PDF snapshot and CSV export are configured and tested. User accounts and permission roles are set up. On day 28 your team gets a live walkthrough and a documentation handover. You are live.

Analytics dashboard development: cost comparison — 2026

Here is what building a custom analytics dashboard actually costs in 2026. We are not the cheapest option — but we are far faster and more affordable than a traditional agency, without the risk of a freelancer you manage alone. If you want to explore whether this fits your budget, we also work on startup MVP timelines and can scope a lighter first version to get you moving.

Analytics dashboard development cost and timeline comparison — 2026
OptionCostTimelineSupport
Traditional agency£80,000–£200,0006–12 monthsExtra cost
Freelancer£20,000–£60,0003–9 monthsYou manage it
No-code tools£0–£500/monthWeeksVery limited
Greta AgencyFrom £8,0004 weeksIncluded

BUILD IT FAST

Get a fixed-price quote in 48 hours

Tell us your data sources and the KPIs you need. We will scope the work, confirm the price, and start within a week. No hidden fees, no scope creep.

TALK TO A FOUNDER

Not sure where to start?

Book a 20-minute call. We'll map out your scope, tech stack, and go-to-market plan — for free.

Frequently asked questions about analytics dashboard development

What exactly is an analytics dashboard and why does my team need one?+

An analytics dashboard is a live web page that pulls data from your databases, APIs, and third-party tools and shows it as interactive charts, KPI cards (big scoreboard numbers), and filterable tables. Teams need one when they are spending hours each week exporting spreadsheets or switching between tools to find the numbers they need. A well-built dashboard puts every metric your team acts on into one real-time view — so decisions happen faster and on accurate data.

How long does it take to build a custom analytics dashboard?+

Greta delivers most analytics dashboards in 4 weeks. Week 1 covers discovery, data audit, and connector build. Week 2 is the full UI build with charts, KPI cards, and filters. Weeks 3–4 are QA (checking everything is correct), export configuration, user permissions, and go-live. Dashboards connecting six or more distinct data sources with complex transformation logic may take an additional week.

Which data sources can you connect to the dashboard?+

We connect to any source with an API (a way for apps to share data), a database connection, or structured exports. Common integrations include PostgreSQL, MySQL, BigQuery, Snowflake, REST APIs, Google Analytics 4, Mixpanel, Stripe, HubSpot, Salesforce, and CSV uploads. If your data lives in a custom internal system, we can connect via a query endpoint or webhook (a trigger that sends data when something happens).

What charting libraries do you use and can we customise the visual style?+

We build with Recharts for most projects, Nivo for complex multi-series charts, and D3 for bespoke custom visualisations. All charts are fully styled to match your brand — colours, typography, spacing, and interaction states. The finished dashboard looks like a product you built, not a generic BI tool with your logo stuck on.

Does the dashboard support user-level permissions and data access control?+

Yes. Role-based access control is enforced at the query level, not just the UI. Different users or teams only see the data they are authorised to view. For example, a regional manager sees only their territory's figures, while an executive sees the full business view. Permissions survive URL sharing and direct API calls — they cannot be bypassed by inspecting the source.

Sources & further reading

External references cited on this page.

Related services

Analytics dashboards are one piece of the puzzle. Depending on what your team needs, you might also want a finance dashboard to track revenue and runway, a sales dashboard to monitor pipeline, or a HR dashboard to keep an eye on your team. We also build full SaaS products — software-as-a-service (cloud apps your customers pay to use) — with analytics built in from day one.

Go live in 4 weeks

Your team deserves a dashboard that actually tells the truth.

Stop making decisions on stale spreadsheets and disconnected tools. We build you a single, live analytics dashboard — connected to every data source that matters — in 4 weeks, from £8,000. As an experienced MVP development agency we know how to scope things tightly so you get real value fast. Speak to our team and get a fixed price within 48 hours.

Free 30-minute discovery call. Real pricing within 48 hours.