Data visualisation is the art/science of turning data
into information users can understand and act on
When it comes to custom and complex data visualization, D3.js is our go-to solution given the flexibility it offers and the wide range of results you can achieve with it.
However, it is not always the most pragmatic solution to our clients' problems. Certain libraries — some of which are actually built on top of D3.js — allow us to deliver commonly used charts much faster than by using D3.js. This comes with a cost: these libraries often offer less customization possibilities.
No matter what your goal is, you can count on our ability to analyze it and pick the best tool to achieve it. We always keep an open mind.
Most companies these days have huge amounts of data. In databases, unstructured text, CRMs, documents and logs. Through scripting, elasticsearch, AWS and an API backend we can form a single collection of your data.
At Theodo, we view being in production with real users from the start of a project as a priority. This allows users to be a part of the development process, give feedback and have ownership of the tool they will use.
Focus on the MP(D)V (Minimum Viable Data Visualization). What data points are a must, what filtering options can we not live without?
Every week we'll aim to deliver new features to users. Be it new charts, filtering options, data sources, user experience enhancements or performance optimization.
Les meilleures pratiques du digital acquises sur plus de 500 projets
Les meilleures pratiques du digital acquises sur plus de 500 projets
Les meilleures pratiques du digital acquises sur plus de 500 projets
Les meilleures pratiques du digital acquises sur plus de 500 projets
We are experts in D3.js, the leading and core web-based data visualization technology. A building block of most JS visualization frameworks, it is a powerful tool for bespoke visualization projects.
We also master the Kibana platform, which lets less technical users build interactive data dashboards, allowing them to track metrics and trends, without waiting for developer time. Its primary use case being as part of an ELK (Elasticsearch, Logstash, and Kibana) stack for logging information, it can have wider applications to any structured or unstructured data.
Depending on the use case we work to find the fastest and most suitable visualization technology, wrangle the data from whichever sources are needed and present it in a user-friendly web or mobile app.
From global financial funds, betting apps, live product dashboards and many more projects we've developed our core methodology to build amazing data visualization products.
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