K–12 Data Analytics: Turning District Data Into Student Success

Types of Data K–12 Districts Collect

Ryan Hetchler, education strategist at GoGuardian, says districts are collecting data in two major categories: nonacademic data, such as attendance and behavior patterns, which can provide important context; and academic data, which informs instruction decisions.

“Schools aggregate quite a bit of achievement data,” Hetchler says. “There are so many assessment sources — you’ll have K–12 literacy screeners, adaptive tests, standardized test data. Sometimes, you’ll even have district-created assessments to set benchmarks.”

The challenge is that all of this data rarely lives in one place. “At one point, I think I had 15 different assessments we would give students, so we had 15 different logins,” says Hetchler, who was a chief academic officer before joining GoGuardian. “I had that information flowing from my student information system around grades and behavior, and maybe from the learning management system where assignments are posted.”

That fragmentation is exactly the problem data visualization is designed to solve: pulling disparate sources into a single, coherent view so that decision-makers can find it, understand it and act on it.

How Districts Use Student Data to Improve Outcomes

For districts that have made visualization work, the payoff shows up in some concrete and useful ways. Many are finding that being able to unify disparate data and analyze it as a whole opens up possibilities that weren’t practical before, from the classroom to districtwide policy decisions.

Identifying At-Risk Students Early

Combining data from multiple sources makes it possible to spot warning signs that any single system might miss. “Maybe a couple of metrics are fine, but we’re seeing a big outlier in attendance, as well as some benchmark assessment data that’s showing us there’s something we need to pay attention to,” Hetchler says. 

The key is making that information accessible, not just to the data professionals but also to the people who can respond to it. “98% of teachers, administrators and interventionalists don’t have the capacity to run a report and bring these sources in,” Hetchler notes. Effective platforms do the heavy lifting for them, flagging concerns and giving users the flexibility to dive deeper.

Personalized Learning and Instruction

Data can also help educators pinpoint exactly where a student is struggling. “Being able to sense trends over time allows you to deliver an intervention that’s more focused on what students need,” Hetchler says. Rather than simply saying a student is struggling with math, a teacher can identify that the challenge lies specifically in evaluation expressions, for example, then target instruction there to foster understanding.

Strategic Curriculum Improvements

Sometimes the data reveals systemic issues that no individual teacher would otherwise see. Hetchler recalls a pattern that emerged in his former district, of seventh grade students consistently underperforming in statistics and probability. When staff dug into the data, they realized the culprit was structural. The topic closed out the sixth-grade year, when attention was at a low point. The fix wasn’t more intervention; it was simply front-loading the material at the beginning of the following year.

Communicating With Parents

Giving parents access to data is useful only if they can make sense of it. “The difference between a percentage and a percentile — what does that mean?” Hetchler asks. “If I score 80% on the test or if I’m in the 80th percentile of students in the country, those are two very different things.” The most effective parent communication, he says, pairs the data with plain-language explanations of what it means, along with clear next steps. 

Data Quality, Integration and Infrastructure: The Foundation

Before any visualization can happen, districts must get their data in order. Joe Phillips, chief strategy and technology officer at Fulton County Schools, leads a cross-divisional data management committee that governs how data is collected, stored and shared across the district.

“You have to know what data you want to look at and what you’re trying to do with it,” Phillips says. Fulton County Schools has built out data sharing agreements, privacy standards and a data management calendar that maps the district’s data-intensive moments throughout the year to avoid overburdening schools at the wrong time. 

The quality of the district’s data is another challenge. Phillips describes the difficulty as getting “Lincoln Logs out of one system and Legos out of another.” The incompatible formats of data from different systems require extensive transformation before the data can be visualized. The solution, he says, starts with training the people who enter the data in the first place. Often, those in administrative support roles don’t have data backgrounds, so “we’re revamping our entire training and support model for all the data clerks and registrars throughout the schools.”

Mohammad Ali, director of program management for Microsoft Power BI, agrees and notes that for most districts, the first real insight they get from a new data visualization tool is actually that they have a data quality problem.

“They’ll have something they know happened. They’ll normally center around it, like, ‘This week was a snowy week, we shouldn’t have had this amount of attendance,’” he says. That discovery process, uncomfortable as it is, is essential to building a reliable data foundation.

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Creating Effective Data Dashboards for Educators

The best dashboards are intuitive, so educators and leaders can spend their time analyzing data, not troubleshooting. Practically speaking, that means interfaces with color-coded performance bands; the ability to toggle between specific schools, grade levels or classrooms; and filters that let users slice data without running queries. Interactivity is key too: Hetchler says that seeing a school with unusually low assessment scores should be an invitation to dig in for deeper understanding, not a dead end. 

Fulton County Schools’ publicly available balanced scorecard gives insight into graduation rates, academic performance, and college and career readiness, and it can be filtered by school, grade level, ethnicity and economic segment. “This is our source of truth,” Phillips says. “Whenever we build board reports — whenever we do anything — we’re pulling it straight from the scorecard.”

Of course, technology alone doesn’t change educational outcomes; districts must have educator buy-in. When data is framed as a support tool, teachers and interventionalists tend to lean in.

“Where a lot of districts go wrong is they only talk about the data work in terms of accountability,” Phillips says. But at Fulton County Schools, he says, the district’s policy is clear: If your data shows a gap, the next step is to provide resources and support, not discipline. This tactic means educators feel empowered, not micromanaged, and when there are problems, “they say, ‘I want to be as transparent as possible because I’m going to get the resources and support that I need.’”

“The data is for the educator to use to help them improve, not for the organization to use to measure or drive key metrics,” Ali says.

Choosing and Implementing the Right Technology

When selecting a platform, Hetchler recommends starting with the problem rather than the solution. “You don’t have to have the path there, but you should know who needs access and for what reasons, and how you’re going to help support that,” he says.

Picking the platform is just the first step. Professional development matters as much as the software itself, and ease of use is critical to ensure buy-in from already busy educators. Hetchler advocates for a staged rollout, training building and district leaders first, then educational coaches and teachers, with each group receiving training to understand what the tool means for their specific roles.

Looking ahead, AI is poised to take data-driven decision-making even further. Hetchler says users will soon be able to “interact with their data in a conversational way.” An educator might ask what skill a fifth grader should work on next and get a meaningful answer, rather than running manual reports to find the solution. Fulton County Schools is already building toward this: Phillips’s team is developing an app, called Talk to Your Data, that staff can use to query the district’s unified data lake in plain language and receive custom responses, reports and visuals.

He says that while his is one of the largest districts in Georgia, tools like Talk to Your Data allow even the smallest districts to better support their students. “You might have a 2,000-student district, but you have to be able to see and answer the exact same questions we do,” he notes. AI and data, leveraged responsibly, is how that becomes possible.