Data is not black and white. Two people with access to the same data can uncover completely different insights.
Contrary to common beliefs, true insights are not gained from answers, but from questioning.
What are some key things to ensure we ask the right questions when looking to gain insights from data? Find out on the blog by Kevin Hanegan, Chief Learning Officer, Qlik & Chair, Data Literacy Project Advisory Board: Asking the right questions of data is a lost art
I've taken the data literacy test and want to roll it out across the organisation to get a picture of the data literacy of our workforce. However, has anyone come up with a way of collating the results other than asking people to send their result back to me?
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?