Why Agile principles aren't suitable for data sciences projects? ❌
In Agile, we manage project contingencies using the functional scope as an adjustment variable. When your project consists of building a model (as a subset of a larger solution), it has one unique feature which makes it incompatible with Agile frameworks.
🛑 How not to work with data?
Learn about the Burden of Disease methods and improve your decision making.
⏱ Project management in two minutes
Project management is all about managing project drift. Of course, you need to predict and prevent deviation - or drift
☁️ The two most frequent errors while working on a cloud data platform.
Many companies focus too much on what solution is best in class and on cost predictability. This annihilates cloud's competitive advantage.
💀 How to survive digital and data disruption?
Acknowledging the threat is not enough. You should implement a new culture and new way of working at almost every level of your organization.
