Data You Can Trust: Why Observability Matters Now More Than Ever

Did you know? As per a SAP article IBM estimates that bad data costs U.S. businesses approximately $3.1 trillion per year. Much of this expense stems from “hidden data factories”, extra manual work to correct data errors, clean it, and manage inconsistencies across systems.

Data observability isn’t just about monitoring, it’s essential for reducing failures, minimizing business losses, and building trust in data assets. Investing in observability tools and practices can save hundreds of thousands of dollars per incident and prevent trillions of dollars in compounded inefficiencies.

How does Factspan contribute to this space?

Real-Time Server Monitoring with Dynatrace & GCP

Our team delivers real-time, intelligent monitoring dashboards for clients by integrating Dynatrace with Google Cloud Platform (GCP).

This solution provides the client with full visibility into their server infrastructure, offering precision, automation, and instant insights.

What We Built:

• Custom Dynatrace Dashboards tailored for GCP environments
• Visualization of critical server metrics: CPU, memory, disk I/O, and network activity
• Secure, native integration pulling live data directly from GCP resources

Key Capabilities:

• Live Monitoring: Continuously updated server metrics
• Threshold-Based Alerts: Instant notifications for critical events
• Multi-Channel Notifications: Alerts via email, Slack, or incident platforms
• AI-Powered Insights: Dynatrace’s Davis AI pinpoints anomalies and root causes

 Value Delivered:

• Proactive Monitoring: Catch issues before they affect performance
• Smarter Decisions: Real-time insights drive better infrastructure planning
• Higher Uptime: Fast issue resolution = less downtime and lower overhead

This project underscores our commitment to delivering advanced observability solutions that help clients operate smarter, faster, and more reliably in the cloud. Want to know more? 

Talk to our experts, drop us an email at contact@factspan.com

Latest from the desk of Factspan:

In Case You Missed It: GenAI Webinar Recording Now Available!

Our recent webinar with AWS, “From Pilot to Production: Accelerating GenAI Adoption at Scale,” brought together experts to explore how organizations can move beyond experimentation and successfully operationalize Generative AI.

1. Identifying high-impact GenAI use cases
2. Building scalable AI systems on AWS
3. Accelerating deployment with Factspan frameworks
4. Driving enterprise-wide adoption

📌 Watch the full session on Youtube: From Pilot to Production: Accelerating GenAI Adoption at Scale

Whether you attended or couldn't make it, this is your chance to catch up on the insights that matter.

From the World of Factspan

Story 1: Intelligent Pharmacy Benefit Simulation with Real Claims Data

Factspan built a smart, self-serve platform that lets users upload claims, simulate savings, and instantly optimize pharmacy benefit plans, turning complex data into actionable decisions.

1. Simulate benefit outcomes using actual claims data
2. Customize exclusions, rebates, and pricing strategies
3. Instantly visualize savings across drug categories

The result? Streamlined workflows, sharper insights, and more strategic plan design.

Check out the full story: https://bit.ly/4n4JRIl

Story 2: Modernizing Analytics for Smarter Pharmacy Benefits

A leading pharmacy benefits provider partnered with Factspan to move beyond legacy SAS systems and unlock scalable, cloud-native analytics. The goal? Drive greater visibility into claims and underwriting, reduce SME dependency, and fuel innovation in pharmacy services.

What we delivered:

1. Migrated core analytics to Python using Snowpark on Snowflake
2. Rebuilt backend pipelines for enhanced performance
3. Enabled faster, more agile business experimentation

Check out the full story: https://bit.ly/3FT5mes

Byte-sized laughs:

Job-o-meter

At Factspan, we believe bold ideas and dedicated talent drive innovation. Stay Connected!