What Changed
A high-volume stream of unstructured alerts was transformed into a structured, prioritized reporting system that highlights only meaningful operational issues.
Where They Started
Kiosks across multiple sites generated frequent alert emails related to cash handling and operational status. These alerts were delivered in unstructured formats, making them difficult to process or analyze at scale.
What Was Breaking
The volume and repetition of alerts created significant noise, making it difficult for teams to distinguish between recurring issues and new incidents. As a result, critical problems were harder to identify, and response times were slower than required.
How The Zig Fixed It
The Zig designed an Azure-based pipeline that ingests alert emails, extracts relevant data, and converts it into structured records.
A deduplication and grouping mechanism was implemented to collapse repeated alerts into single event windows, ensuring that recurring issues are represented as one actionable item rather than multiple redundant alerts.
The system also introduced severity classification, categorizing alerts into priority levels and generating daily summary reports tailored for operational teams.
What It Unlocked
Teams gained the ability to quickly identify and prioritize operational issues, reducing response times and improving decision-making. Instead of reacting to raw alert volume, they could focus on meaningful, aggregated insights.
Where the Investment Went
Cloud infrastructure (Azure), backend processing logic, and reporting workflows formed the core investment areas, along with monitoring and telemetry to track system performance.
What This Taught Us
Operational systems benefit more from clarity than volume. Transforming raw signals into structured insights is essential for making data actionable.
It also reinforced the importance of aligning reporting formats with how stakeholders consume information.