Glossary · Business
Data-Driven Decision Making
The practice of basing business decisions on data analysis and interpretation rather than intuition alone.
Data-driven decision making (DDDM) is an organizational approach where decisions at all levels are informed by data analysis rather than relying solely on intuition, experience, or anecdotal evidence. DDDM involves collecting relevant data, ensuring data quality, analyzing data to extract insights, and using those insights to guide strategic and operational decisions. Organizations that embrace DDDM typically see improved outcomes across revenue, efficiency, and customer satisfaction. The key enablers of DDDM are: accessible data infrastructure, analytics tools that non-technical users can operate, a culture that values evidence-based reasoning, and data literacy training that helps everyone interpret and use data effectively.
In practice
How AI for Database applies it
Fig — every answer ships with the tables, rows and SQL behind it.
Related terms
See it on your own database
Connect read-only in minutes. Free models included.