How ACI Infotech Helps Enterprises Master Data Observability

Enterprises are investing heavily in data and AI—but most are still building on a brittle foundation. 

While the global data observability market is forecasted to reach $6.23 billion by 2032, the vast majority of organizations continue to struggle with inconsistent data quality, unreliable pipelines, and a lack of visibility into how data issues affect business outcomes. 

At ACI Infotech, we’ve seen this challenge firsthand. And we’ve built a solution framework that goes far beyond dashboards and monitoring. Our approach combines deep architectural expertise, strategic alignment, and powerful tooling—including Dynatrace’s industry-leading observability platform—to help enterprises regain trust in their data and move faster with confidence. 

For a C-level perspective on why data observability is now a boardroom issue—not just a backend concern—read the executive commentary from our CEO here. 

Why Observability Matters More Than Ever 

Digital-native business models, AI initiatives, and regulatory mandates all depend on data that’s complete, explainable, and timely. But in most organizations, the signals that matter—data drift, pipeline failures, inconsistent transformations—go undetected until damage is already done. 

Common failure patterns we encounter include: 

• Misaligned marketing segmentation due to unseen data lags 
• Broken ML predictions stemming from silently degraded inputs 
• Delays in product rollout caused by unreliable market data 
• Regulatory non-compliance due to insufficient data lineage 

ACI’s Data Observability Services are built to solve these problems at scale. 

ACI’s Observability Framework: Engineered for the Enterprise 

We don’t treat observability as a tool deployment. We treat it as a transformation enabler. 

Our framework includes: 

• Data Health & Drift Monitoring 
  Custom telemetry to detect schema changes, freshness issues, and outlier patterns across structured and unstructured data assets. 
• Business-Aligned SLAs 
  We co-define data quality thresholds tied to revenue, compliance, and customer impact—so every alert is grounded in business logic. 
• Root Cause Analysis at Speed 
  Using Dynatrace’s Davis AI engine, we enable automated impact tracing, anomaly detection, and real-time dependency mapping across systems. 
• Cross-Platform Integration 
  Seamless observability across AWS, Azure, Snowflake, Databricks, SAP, and legacy environments—without architectural lock-in. 
• Governance & Lineage Mapping 
  End-to-end lineage tracing for compliance-critical datasets, auditability, and AI governance. 
• Automation & Remediation 
  We design and implement automated playbooks for common data quality issues, reducing time-to-resolution from days to minutes. 

Proven Success Across Industries 

In retail, ACI helped a Fortune 500 fuel and convenience chain improve pricing and promotion accuracy by embedding observability into their real-time data feeds. This enabled agile merchandising decisions across 700+ stores. 

In healthcare, a national hospital network leveraged our observability stack to strengthen clinical analytics pipelines and ensure data reliability across multiple departments. The result: increased trust in patient analytics and accelerated compliance readiness. 

Why ACI + Dynatrace 

As a strategic Dynatrace partner, ACI Infotech brings together deep product expertise and cross-industry implementation experience. Our engineers are certified in advanced observability, telemetry optimization, and Davis AI customization. More importantly, we align technical observability outcomes with board-level business objectives—from revenue integrity to AI scalability.