A nursing education organization collects annual survey data from multiple jurisdictions to create reports that support planning, compliance, and informed decision-making.
Business Needs
Each jurisdiction submitted survey data in a different format. Before the data could be used, every file had to be reviewed manually to identify errors and inconsistencies. This made the reporting process slower, increased the risk of mistakes, and required significant manual effort.
At the same time, the Power BI report used to validate the data had become slow and difficult to use, making it harder for users to verify information and trust the results.
Technical Challenges
The team had to design a solution flexible enough to handle inconsistent data formats while keeping performance and usability intact.
Each jurisdiction used a different file structure and layout, making a single automated validation process hard to standardize.
The solution needed to support format changes through a mapping file, without requiring ongoing developer involvement.
Identifying missing or unexpected data across varying schemas required carefully tuned rules to avoid false positives or missed issues.
Diagnosing slow report performance and optimizing it without disrupting existing reports or user workflows.
Solution Architecture
We built an automated process that validates every survey file before it enters the reporting system.
The solution checks for formatting issues, validates the data, and identifies missing or unexpected information before reports are created. When survey formats change, users can update a simple mapping file instead of relying on a developer, making the process easier to maintain and adapt over time.
We also optimized the Power BI reporting solution to improve performance, allowing users to review and validate data more quickly and efficiently.
Designed against failure modes
Rather than just building features, the solution was designed around avoiding known failure modes, ensuring the system would remain stable, governable, and performant as usage scaled.
Implementation
Approach
Delivery was sequenced to ensure stability before performance tuning.
Assessment
Reviewed survey data and the existing Power BI report to identify format variations and performance issues.
Design
Built an automated process with a mapping file to flag errors without relying on developers.
Integration
Connected file intake, validation, and processing so only clean data reaches reporting.
Performance Tuning
Improved performance and rolled out the updated report for faster, easier validation.
Outcomes and
Impact
Reduced the manual effort required to review incoming survey files.
Improved data quality before reports were generated.
Made it easier to accommodate future survey changes.
Reduced reliance on developers for routine updates.
Improved Power BI performance, making reports faster and easier to use.
Created a more scalable and reliable reporting process.
Why It
Matters
Reliable reports start with reliable data. By automating data validation and improving reporting performance, the organization can spend less time correcting data issues and more time using trusted information to make better decisions.
Begin Your Journey
With Confidence
Contact T&Z International today to explore how our tailored solutions can empower your business. Let T&Z be your ultimate IT partner.