Introduction
Assess your
level of maturity
in data
valuation
Identify projects
with high value
to your
organisation
Define the
feasibility of a
Machine Learning
project
Prioritize
Machine
Learning projects
framework
Scope a
project
Necessary
profiles to build
your team
Key to success in
implementing a
data science
practice