Guides, Templates & Best Practices

Technology enables data analytics, but culture determines whether data actually drives decisions. Building a data-driven culture requires more than dashboards—it requires changing how people think and work.

Schools invest millions in programs, interventions, and initiatives. But which investments produce results? Measuring return on investment helps allocate limited resources to strategies that actually work.

Education data lives in dozens of disconnected systems. Student information here, assessments there, interventions somewhere else. Meaningful analytics requires bringing these silos together.

Data systems are only as valuable as educators' ability to use them. Building data literacy across the organization—from teachers to administrators—transforms data from overwhelming numbers into actionable insights.

Assessment data holds rich information about student learning—but only if analyzed effectively. Moving beyond simple proficiency rates to item-level analysis, growth tracking, and diagnostic insight transforms test scores into instructional guidance.

Aggregate data hides disparities. A school with 70% proficiency might have 90% proficiency for some groups and 40% for others. Disaggregating data by student groups reveals inequities that averages obscure—the first step toward addressing them.