What does it mean for your company?
Turn your data into value
A data factory follows a continuous flow of 3 cycles
Together with the domain expert, you generate visualizations and hypotheses of where the hidden value could be. Together we define, model and verify new value streams. The first intelligent use cases are born and proven.
Your data is flowing in a controlled manner through the data factory. Here, your data is securely ingested, stored, and processed. The factory runs a variety of these data pipelines, used for further learning. In parallel, the pipelines are embedded in your daily processes to offer value in a consistent and uninterrupted way.
The domain experts won’t sit still. The factory offers ways to further improve and tweak the models toward even more added value. True digital transformation is about doing, learning, and adapting.
The infrastructure / data engineer sets up the data lake platform including all security measures and connectivity, and takes care of automated ingestion of data and the storage of raw data.
The data engineer transforms raw data into enriched data (by slicing & dicing, aggregating & filtering, and combining with other data sources), performs data validations and monitors the data flow.
Once pre-processed, the data analyst can take the data to visualize and report on the current and past values.
The data scientist models the data to predict and automate future state via machine learning models, optimization algorithms, and regressions.
Embed via software
To embed the results into an autonomous system, our software engineers work together with your domain experts to translate the model outcomes into an application.
Embed via process
Our business analyst then collaborates with your domain experts to define changes in the business processes in order to embed the results into day-to-day operations.