What comes first - the chicken or the egg? Is data literacy the foundation for data culture?
We are faced with a similar question when trying to improve data literacy, drive BI adoption, and build a strong data culture. All three components support one another and collectively drive progress - but does one occur before the others?
What are some of the best strategies for incorporating all three of these components in a company wide initiative to make better data-driven business decisions? Challenges?
I was an investigative reporter at The New York Times for 10 years (2007-2016) and, being a lifelong, proud, card-carrying math geek, gained a reputation for being one of the few reporters who could easily detect data BS among politicians, scientists, and other media outlets, and did so in fields ranging from the National Football League (concussions) to child psychiatry (epidemiology, drug prescriptions). As a member of DLP's advisory board I'm hoping to spearhead efforts to bring better data literacy to the media through web materials, seminars and what-not. As consumers of news media, what do you think are the most pressing issues? Understanding risk? Percentages? Probabilities? Any examples that made you want to punch a hole in the TV?