One way to think of it is when an organization asks ‘what does the data say?’ and then acts on the results even when it differs from what is “normally” done.
It is the process of looking for patterns, tendencies, and correlations from available data to transform the way we work internally and externally. Additionally, strong data cultures like those of Enseña Chile look at multiple sources of data together.
Triangulation refers to the process of examining multiple sources of data and analyzing them together to identify patterns and tendencies to help inform decision making. The data culture depends on staff in all roles defining and measuring outcomes, acting based on available data routinely, and building on existing knowledge over time.
The above list is not exhaustive and we would love to learn about what you believe data culture would look like in your context. Would it be similar? If not, how would it be different? Please share your reflections here below in this sheet. You can click on the Google document below or open it in a different window or tab to type in your thoughts.