Data Engineering and Analytics
We bring data from different sources into one dependable structure and turn it into reports that support your decisions.
- Data collection
- Reporting
- Dashboards
- Data quality
Problems we solve
- Reports draw on several sources and the numbers do not match
- Preparing data takes longer than analyzing it
- Managers get current numbers too late
Technical approach
We settle the sources and definitions of your numbers with your team. We then build pipelines that validate and regularly update the data, and create the reports you need on top of them.
Example use cases
- Bringing sales, stock and operations data into one dashboard
- Keeping management reports up to date automatically
- Moving scattered Excel files into an organized database
What we offer
Data transfer pipelines
Validated data, updated on a regular schedule
Data modeling
The same number means the same thing to everyone
Reports and dashboards
Quick access to the numbers a decision needs
Data quality checks
Bad data is caught before it reaches a report
Technical details
- PostgreSQL
- ETL
- Python
- Gurobi
Work with us
Let's plan your next project together.
Describe your software, AI or automation need in a few sentences, and we will work out the right approach together.
Tell Us About Your ProjectDirect contact
Location
Kayseri, Türkiye. We work remotely.
If you need one, we can sign a non-disclosure agreement before we talk.