
Building staff insights dashboards for a state education agency
Our team helped a US-based education agency improve access to and visualization of critical staff-related data for public schools across one of American states. The goal was to make information on hiring, certification, and employment trends easier to understand and use, especially by local education agencies and decision-makers.

Key achievements
| 100% | visualization coverage of available educator workforce data in the state system | 
| 10 GB | of text data processed | 
Challenge
A state-level education agency needed to make sense of massive, complex data about school employees across the entire region. Their systems collected detailed information on thousands of teachers and staff, including career history, certifications, roles, and hiring timelines, but much of this data remained raw, layered, and hard to interpret.
Visualization became a key priority. Without clear dashboards, it was difficult for decision-makers to spot workforce trends, identify staffing gaps, or support local school districts effectively.
Together with our partner, we approached the project with a focus on building clear, reusable visual tools that would help the customer make the most of their data.
Main challenges along the way:
Solution
We developed a full set of Power BI dashboards focused on Human Capital analytics for education agencies. These dashboards help teams understand hiring patterns, retention trends, and staff development across districts, making it easier to take informed, data-backed action.
Each dashboard was designed to serve a specific business purpose, allowing HR and leadership teams at the local level to monitor workforce health, adapt hiring strategies, and support long-term planning.
Project scope
When we joined the project, the customer already had a significant amount of employee data collected and stored in Snowflake. However, the data wasn’t yet suitable for analysis or decision-making. It was raw, inconsistent, and difficult to interpret.
Our job was to clean it up, organize it, and turn it into something people could actually use. To get there, we followed a step-by-step approach:
- Step 1. Data preparation and transformation- We started by cleaning and organizing the existing data. Using DBT, we filtered out irrelevant details, fixed inconsistencies, and aligned formats, making the data more reliable for analysis. 
- Step 2. Building data marts- Then, we grouped the cleaned data into smaller, topic-focused sets called data marts. These covered areas like hiring trends, tenure, and certification, making access and analysis much easier. 
- Step 3. Creating dashboards- Next, we built interactive dashboards in Power BI. With graphs, charts, and filters, they gave users a clear view of workforce metrics, like retention rates, shortages, and certification levels. 
- Step 4. Integrating dashboards into local systems- To make access seamless, we embedded the dashboards into local web portals. This way, district teams could get insights right from the tools they already use. 
How it works
Now, let’s look at what the dashboards actually do and how they help education agencies work smarter.
Team
Tools and technologies
Results
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