PLAYBOOK
The Data Science Process
3 steps for a successful agile framework
The Data Science unit was created in 2018, and built on foundations of previously established data-related units: Business Intelligence and Big Data. Since then, we have been developing our Data Science process.
In a trendy field like Data Science, where terminologies and concept definitions are a constant struggle, some might ask why a company would have three business units with the same apparent purpose. However, this is a practical proof of how Xpand IT envisions its data services: a trinity of three non-overlapping data units, each one highly specialised in its own data field, yet capable of understanding and coordinate implementations with the other two.
Download this free playbook and discover our 3 steps to create a successful agile framework, developed in-house: the XP4DS Flow.
Data Science Process + XP Agile:
- Viability Analysis
- Modelling
- Deployment and Monitoring
Free Download
Playbook: The Data Science Process
PLAYBOOK
The Data Science Process
3 steps for a successful agile framework
The Data Science unit was created in 2018, and built on foundations of previously established data-related units: Business Intelligence and Big Data. Since then, we have been developing our Data Science process.
In a trendy field like Data Science, where terminologies and concept definitions are a constant struggle, some might ask why a company would have three business units with the same apparent purpose. However, this is a practical proof of how Xpand IT envisions its data services: a trinity of three non-overlapping data units, each one highly specialised in its own data field, yet capable of understanding and coordinate implementations with the other two.
Download this free playbook and discover our 3 steps to create a successful agile framework, developed in-house: the XP4DS Flow.
Data Science Process + XP Agile:
- Viability Analysis
- Modelling
- Deployment and Monitoring
