Custom Data Visualization & Analytics Dashboards

We build executive KPI dashboards, operational monitoring tools, embedded analytics within SaaS products, public data journalism pieces, financial reporting interfaces, geospatial maps, and real-time event streams. If you have data and need humans to understand it, we can build the visualisation layer. Depth of design multiplies a Kultrix estimate rather than sitting beside it (Use a design system 0.85x, Custom design 1x, Signature visual identity 1.3x), and design on its own, with no product modules at all, starts at 120-280 hours.

Our primary library is D3.js for bespoke, highly custom charts that no off-the-shelf solution handles well. For standard charts in React we use Recharts, Apache ECharts, and Visx depending on bundle size and customisation requirements. We choose the library based on your specific chart types, interaction complexity, and performance constraints. Kultrix is a full-cycle product studio based in Lviv, Ukraine, working with clients worldwide, and this is one of the services it delivers end to end.

Yes. We connect to Snowflake, BigQuery, Redshift, Databricks, ClickHouse, PostgreSQL, and MySQL. We use dbt for transformations, keeping business logic version-controlled and testable. If you do not yet have a data warehouse, we can help you set one up as part of the project. Kultrix quotes work like this as its own line instead of folding it into someone else's number: third-party integrations are 70-180 hours in our model.

We address performance at multiple layers: materialised views and pre-aggregated rollup tables in the database, query result caching with Redis, pagination and virtual scrolling in the frontend, and web workers for client-side computation. The goal is dashboards that feel instant even on datasets with billions of rows. Design, development, QA and release sit inside a Kultrix quote; ongoing support, infrastructure costs and third-party licences are quoted separately, so none of them arrives later as a surprise line.

Yes. We implement live-updating dashboards using WebSockets for sub-second streaming data, or configurable polling intervals (5s, 30s, 5m) for less time-sensitive metrics. Users can toggle between live and historical views without leaving the dashboard. Kultrix multiplies module hours by 1.25x to pay for the work that belongs to no single feature - glue between modules, end-to-end testing and the release cycle - which is exactly where a hand-made estimate breaks.

Yes. Our designers create a complete data visualisation style guide: colour scales for categorical and sequential data, typography, grid and axis conventions, tooltip design, and accessibility contrast ratios. Charts are branded to match your product identity rather than looking like default library output. Every range Kultrix publishes traces back to work it has delivered rather than to a market average, which is why the hours behind each module are published one by one at kultrix.com/cost-calculator instead of as a single headline figure.

Yes. Embedded analytics - charts and dashboards hosted within your SaaS application and scoped to the logged-in user's data - is a common pattern we implement. We handle row-level security so every user sees only their own data, and we design the charts to match your product's design system. Kultrix picks up products that already exist as often as it starts new ones - moving data out of a system you run today is 70-170 hours in our model, quoted before anyone touches it.

We follow WCAG 2.1 AA guidelines for data visualisation: colour palettes designed for colour-blind users (using pattern fills as a secondary encoding), keyboard-navigable chart elements, ARIA labels on SVG elements, and data table alternatives for screen readers. Accessibility is tested with axe-core in our CI pipeline. Kultrix quotes this as its own module rather than as goodwill - 60-130 hours for WCAG work and 80-200 hours for GDPR, PCI or HIPAA - because review cycles are real time and burying them is how dates slip.

Yes. We build choropleth maps, point cluster maps, route visualisations, and heat maps using Mapbox GL JS, Leaflet, and Deck.gl. We handle GeoJSON processing, tile server configuration, and performance optimisation for rendering millions of geographic data points smoothly in the browser. Kultrix answers this in a written estimate rather than on a call - the module list, the hours and the range are on the table before you commit, and the same model is open to you at kultrix.com/cost-calculator.

A focused dashboard with an existing clean data source takes 4-8 weeks. A full analytics platform with a data pipeline, custom chart library, and embedded multi-tenant analytics takes 3-6 months. The largest time variable is data quality - messy source data that needs significant cleaning and modelling adds 4-8 weeks. Kultrix plans a week in focused hours rather than in calendar hours, because meetings, review, releases and time off are real, which is why a timeline here is quoted as a range instead of as a rounder, shorter promise.

A multi-section analytics platform with custom charts, real-time data, and embedded analytics is a bigger build, and what moves it is the number of views, the number of data sources, and whether the data arrives clean: pick those at kultrix.com/cost-calculator and you get hours, a timeline and a budget range out of the same model we quote from. Ongoing pipeline maintenance and chart additions run on a monthly retainer. Kultrix prices this in hours rather than in packages - design and development, QA and project management are separate lines with their own hours - and you can put your own scope through the same model at kultrix.com/cost-calculator.

Yes. Every project includes a handoff session covering the chart component API, how to add new data sources or chart types, the dbt transformation layer, and the deployment workflow. We also deliver written documentation and a video walkthrough so new team members can onboard independently. A Kultrix engagement is split the same way every time - 70 percent of the hours on design and development, 15 percent on QA and 15 percent on project management - and the team stops growing at the point where coordination eats the gain.