Data-driven organizations use research and data to shape their strategy, and use their strategic priorities to guide how they use data
Click the arrow for a visualization of a data-driven organizational culture
Click the arrow for a visualization of a data-driven organizational culture
- Becoming a data-driven organization requires clear strategic priorities grounded in data and research, identification and measurement of relevant indicators, and integrated expectations for qualitative and quantitative data use at all levels
- Organizations can become more data-driven by maximizing the use of existing data and training staff to be informed data consumers and users. This includes recognizing and promoting awareness about the types of data already used in staff decision-making.
- Effective facilitation, knowledge management, and targeted training are vital for cultivating a data-driven learning culture
- An organization is data-driven if staff at all levels know what the organization measures and why, and if data is routinely used in meetings and cited in official communications
- High-level statistics, experimental studies, and advanced dashboards can enhance this work, but they don’t guarantee results, and can only be effective with strategic alignment, management, and training in place