The Challenge

The customer, a global biopharma that handles multiple programs across different functions, had large volumes of alerts coming from its operational systems every day. These alerts were meant to flag things like data mismatches, delays, or ownership issues. But the bigger problem wasn’t the alert count, it was the noise. Teams spent hours trying to find which alerts mattered and which ones were just duplicates. 

Key challenges included: 

  • Alert Overload
    Too many alerts came in from different sources like tracking systems, data feeds, and financial logs. There was no single rule or standard. Every team saw things differently. 
  • No Common Priority
    Each feed marked severity in its own way. So when reports were made, there was no way to know what was high, medium or low impact. Everything felt urgent. 
  • Missing Ownership
    Many alerts had no owner mapped. Sometimes the same alert appeared three or four times with no assigned person, which meant no one acted till it escalated. 
  • Data Alignment Issues
    Formats like date, study name and site code didn’t match across the data sets. This made it difficult to track how old an alert was or whether it was resolved. 
  • Manual Reconciliation
    Analysts had to open spreadsheets daily, merge data, and manually tag owners. This process consumed time and still left gaps. 

Our Solution

The OCX Alerts Framework was designed to bring control back into this process. It helped standardize alerts, assign owners automatically, and make the data more actionable. All this was built around the same structure that existed in their Excel feeds so the adoption was quick. 

1
Democratized Data Access
Developed a non-SQL method for querying data within the EDF, eliminating the need for SQL knowledge.

Single Source Feed

We created one combined feed where all alerts came together under a consistent schema. Fields like ID, severity, timestamp, owner, and region were cleaned and made uniform. 

2

Automated Scoring Model

A simple logic combined frequency, recency, and impact to generate one score. This helped teams know what to look at first without debate. 

3

Duplicate Cleanup

Repeated alerts were grouped using a match signature so only one active instance remained. This reduced clutter drastically. 

4

Ownership Mapping

We used mapping rules that matched each alert to its functional or regional owner automatically. It meant accountability from the moment it appeared. 

5

Ready-to-Use Output

All alerts were exported into CSV files formatted to plug directly into the customer’s existing ticketing and workflow tools. No rework needed. 

Key Impact
72h
72-hour lag in alert triage reduced to under 4 hours . Unified data layer removed daily spreadsheet reconciliation
60%
60% manual work saved for operations teams . 45% fewer duplicate alerts after deduplication logic
The Customer
A leading global biopharma, known for its focus on oncology and rare disease therapeutics. Its operations and analytics teams handle large amounts of real-time data from global sites. The stakeholders included operations managers, compliance teams, and system administrators who needed a clear and reliable way to act on alerts fast.

The Outcomes

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“Turning Noise into Action.” 

With OCX Alerts, the operations team could finally view all issues in one place. The framework made the process more controlled, predictable and measurable. What was once manual and chaotic became automated and accountable. 

Unified Oversight

All alerts across systems were standardized into one consistent model. 

Prioritized Workflows

Automated scoring helped the team focus on what mattered most. 

Ownership and Accountability

Every alert had an owner assigned instantly, which meant quicker response and no forgotten tickets. 

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