The common business cases we address:
1. Introducing and cultivating a data driven culture to allow optimisation of processes in order to reach goals.
2. Building or exploring new opportunities based on existing processes or data, such as reporting/data warehouse build & team hire.
3. CRM based on data (segmentation, churn prediction and prevention, recommendations)
4. Marketing funnels with CLV for ROI based ad purchasing, which enable reaching the max profitability or user growth. Algorithmic attribution modelling.
5. Experimenting and introducing data science capabilities into established business processes
6. Automated decision-making, such as marketing placement purchasing automation based on ROI
7. Disaster recovery. When data is not going as originally planned. This includes situations such as losing key personnel or refactoring and documenting.