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Data, redesigned

how can we help?

You have survived with Excel and that´s fine. You want to evolve… we can help you there
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1

Data preparation

We collect all your data, in whatever format it is, and build up a data repository for all your historic and future data. All clean, all organized.

2

Data modelling

We build the logic and relationships behind your data. This is the “data model”. It will evolve as you grow.

3

Data design & visualization

A good “data model” will allow the magic of data analysis and data visualization.

See our latest dashboard on Covid 19

portfolio

A

We build seamless and beautiful dashboard to help you build a data-driven culture in your organization.

B

We combine advance programming skills with beautiful design.

C

We are experts on data animation to communicate the story behind your data.

portfolio

A

We build seamless and beautiful dashboard to help you build a data-driven culture in your organization.

Portfolio

B

We combine advance programming skills with beautiful design.

Portfolio

C

We are experts on data animation to communicate the story behind your data.

technology

We use the right tools for each project following a ‘lean’ approach where we keep the complexity to a minimum. Thus, we use four blocks of tools and libraries depending on the needs of the project:

A

This is some text inside of a div block.For those projects that demand a great interaction and with a very ad-hoc design, we use React/Javascript, that gives us great flexibility.

B

For projects that demand some kind of special data processing or machine learning processes, we use the Python libraries.

C

Another block is focused on the load and processing of large amounts of data. For this we use the Google Cloud environment, especially Big Query and complementary tools.

D

And, as a main block, and normally for small and medium size projects, we use Power BI. With Power BI we develop the interface that customers use to access and interact with their data. Power BI can be self-contained and for many types of projects is sufficient to perform data load, transformation and modelling. In more complex projects we will mainly use Big Query as a data repository and Power BI as a business intelligence front end, combining the strengths of both products.