We are A to Z data experts: building your
project from data sources to dashboards
We connect to your data, wherever it is. Are you using tools from which no dashboard can import data? No problem—we can build our own connectors.
Whether you want a "simple" aggregation of your transactional data or a full-blown machine learning transformation, we're here to help.
Once you have clean data properly transformed, we send them and visualize them in your dashboard platform (e.g. with PowerBi or Looker Studio).
Our weapons of choice
We are specialized in these 3 tools.
If your problem relates to it, we're a match.
Otherwise, let us chat to see how we can help you.
Google Cloud Platform
Also known as GCP. Our expertise covers all services: BigQuery, Compute Engine, Cloud Build, or Looker Studio
DBT
DBT Labs and DBT Core are our tools of choice to make your SQL transformations transparent and collaborative.
Snowflake
It is the upcoming cloud database. Any modern organization doing away with the on-premise databases consider it.
Training
Do you have a new data team that needs training? Or are are onboarding new tools? Then we can help you get up to speed.
Developping
Are you in need of an expert that can build your project from A to Z? We can help your project from the ground up.
Cases
E-commerce dashboard
An e-commerce team wanted to have a tighter grip on their revenue and marketing expenses, and GA4 was too much struggle.
During a session with Datablaze, their drew their ideal dashboard. Datablaze built a custom dashboard, bringing the data from even their niche marketing tools.
Forecasting
Fleurop's team was wondering which products to show on the home page in order to maximize revenue.
Datablaze built them a dashboard forecasting the highest selling products for the next period, which should thus be higher up on the home page.
Product journey
A Shopify store wanted to know their best product to email to their recurring users.
Datablaze created a report showing their product journey: which of their products were entry products that new users purchased, and in which order the products needed to be advertised, to maximize the CLTV.