Concept studyData engineering
Operations Analytics Platform
An analytics platform approach that brings different data sources into one structure and supports decision making.
This is a concept study. It is not a client project, it contains no client results, and the information on screen is sample data.
Problem
Sales, stock and operations data is often held in separate systems and Excel files. Reports arrive late, and numbers from different sources do not match.
Proposed solution
A data pipeline that regularly collects data from the sources, validates it and combines it in one data model. Managers see current numbers, with the same definitions, on one dashboard.
Open orders
128
12 new today
Late deliveries
7
Needs review
Data freshness
09:00
Last transfer
Orders per week
How the system works
- 1
Data is collected regularly from source systems
- 2
Data that passes quality checks is cleaned
- 3
Data is combined in one model with shared definitions
- 4
Reports and dashboards are fed from this model
- 5
Data transfer problems are reported to the team
Technical details
- Python
- Django
- PostgreSQL
- ETL
- Docker
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Location
Kayseri, Türkiye. We work remotely.
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