Data Visualization

Data visualization is the art/science of turning data
into information users can understand and act on

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Picking the right tool

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. 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.

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How to Start a Data Viz Project

Have Data

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..

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Work with the End-User

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.
Key Questions:
1. What data do they need?
2. What decisions do they need to make?
3. In what context will they use the platform?
4. Do they understand the user interface?

Deliver Value Every Sprint

Distributed architectures need the right tools. Our teams build with this principle in mind, ensuring the right tools are setup and configured to help you react fast with automated safeguards in place.

How to turn raw data into actionable information

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.