Some organizations try to kick-start their data capacities by hiring loads of highly-trained data scientists or investing in machine learning infrastructures. This will not be a successful strategy because it surpasses necessary steps in building a data culture. Organizations are better off up-skilling the talent they have.

1. Hiring data scientists
doesn’t make a data
culture

2. Where are you, really?
https://hackernoon.com/the-ai-hierarchy-of-needs-18f111fcc007

3. Don’t skip a step
“Management teams often assume they can leapfrog best practices for
basic data analytics by going directly to adopting artificial intelligence and
other advanced technologies. But companies that rush into sophisticated
artificial intelligence before reaching a critical mass of automated
processes and structured analytics can end up paralyzed.”
- Nick Harrison and Deborah O’Neill, “If Your Company Isn’t Good at
Analytics, It’s Not Ready for AI” (source: Harvard Business Review)

4. Aren’t you forgetting something?
http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram

5. There’s a better path
WHY DO THIS WHEN WE
CAN MAKE A DATA
SCIENCE TEA…
BY THAT POINT WE COULD
HAVE TRAINED 100 NEW
DATA ANALYSTS FOR HALF
THE COST!

6. LET'S TALK
WEBSITE
stringfestanalytics.com
EMAIL ADDRESS
george@stringfestanalytics.com
LINKEDIN
linkedin.com/in/gjmount