One CRP’s Journey to Data-Driven Decision Making The ‘who, what, where, when, why’ of the data process
What we were tired of‌
Hunting down answers Not believing the information Not hitting goals
We needed to be better‌ We needed DATA to take action
The challenges of the who: IT development
The challenges of the who: Owner of the algorithm
The challenges of the what: Defining algorithms
The challenges of the what: Distrust of Data
63.7% OF ALL STATISTICS ARE WRONG
The challenges of the when: Frequency
Dragging
Lagging
Instant
The challenges of the where: One Destination
Success story – Direct Labor Ratio
Lessons We Learned What gets measured gets done…
Ownership must Be shared
Must constantly reinforce ‘single source of truth’
Transparency Matters
Expect Rework (in the short-term)
Gather pieces of information, rather than answers to questions
Session Evaluation Information
SESSION TITLE: Finance SESSION CODE: Fin-M800