Big Data · corporate website · SEO and performance
GetInData: making deep Big Data expertise legible from the outside

01 / Context
A data consultancy sells something you cannot photograph. Worse, the people evaluating it want opposite things: engineers are checking whether the depth is real, while business buyers are scanning for a use case that resembles their own problem. Both land on the same pages, often from the same search, and the site has to hold both without watering either one down.
02 / The challenge
Turn a wide, deeply technical offer into a page structure that marketing could keep extending and search engines could actually read — then build it on a modern frontend without spending the entire performance budget getting there.
03 / Scope
What I did
- 01Built the GetInData corporate website from scratch.
- 02Shaped the SEO-led page structure around areas of expertise.
- 03Worked on site performance as part of the build rather than after it.
- 04Implemented marketing pages and reusable components in React and Gatsby.js.
04 / Key decisions
Key decisions
- 01
Structure follows expertise, not the org chart
Pages were organised around the problems the company actually solves, so every area of expertise got its own entry point — one a search engine can index and an engineer can skim without booking a sales call first.
- 02
React and Gatsby for a site that keeps growing
Static generation made fast pages the default rather than an optimisation, and a component-based frontend meant the marketing team could assemble new sections from parts that already existed instead of commissioning a fresh layout each time.
- 03
GraphQL and Netlify to keep publishing boring
GraphQL held the content layer together and Netlify made deploys predictable. Neither is glamorous, but a site that is frightening to publish to quietly stops being updated — and a marketing site that stops being updated stops working.
05 / Evidence
Results
- 01
A public Big Data company website, built from scratch and running in production.
- 02
An SEO-led structure that gave each area of expertise a page worth ranking for.
- 03
Performance treated as a constraint during the build, not a clean-up after launch.
Stack
- React
- Gatsby.js
- GraphQL
- Netlify
Services used
Related problems solved
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