SITUATION
A global pharmaceutical company needed a smarter way to identify physicians exhibiting early signals of clinical interest, treatment shifts, or engagement opportunity. These “at-risk” or “at-opportunity” physicians were being missed due to delayed reporting and fragmented data, limiting timely follow-ups from trial or Medical Science Liaison (MSL) teams.
CHALLENGE
- No centralized way to monitor physician behavior across different data sources
- Manual identification of opportunity signals was slow and inconsistent
- High workload on field teams and missed windows for optimal engagement
APPROACH
Mu Sigma built a real-time, intelligent alert system by integrating multiple datasets and signal triggers:
- Data Integration:Combined channel data (e.g. emails, speaker events), claims trends, and rep interactions
- Trigger Design: Built trigger logic to detect 3 key movements:
- Physicians shifting treatment behavior
- Physicians exhibiting consistent clinical interest
- Physicians newly engaging with the therapeutic area
- Alert System: Delivered real-time, action-oriented alerts to field reps and clinical teams through a central dashboard
- Automation: Reduced dependency on lagging reports through dynamic anomaly detection and predictive signal clustering
IMPACT
- Enabled real-time field action through system-generated alerts
- Increased physician engagement efficiency by 45%
- Improved timing of trial and MSL conversations with early opportunity flags
- Reduced manual workload for field and ops teams by over 30%
Business Impact
-
45%
More Physician Engagement
-
30%
Less Manual Workload
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The firm's name is derived from the statistical terms "Mu" and "Sigma," which symbolize a
probability distribution's mean and standard deviation, respectively.