Real-world stories of Impact, Innovation, and Autonomy in action with Agentic Data Management (ADM)
In today’s high-stakes data environment, companies can no longer afford slow incident response, manual reconciliation, or fractured governance. That’s why enterprise data teams across industries are turning to Agentic Data Management (ADM)—a new approach powered by AI agents that not only detect problems, but diagnose and resolve them in real time.
In this showcase, we spotlight customer stories that illustrate the real-world impact of ADM. Different industries, different challenges—same transformational outcome.
Story 1: From Pipeline Chaos to Predictable Performance
Customer: Global Logistics Provider
The Challenge
A global transportation company was struggling with frequent pipeline failures and downstream dashboard inconsistencies. Their team—spread across engineering, analytics, and business operations—spent hours just diagnosing what went wrong.
How ADM Helped
With Agentic Data Management, they deployed:
- The Data Lineage Agent, which traced a schema mismatch from a Tableau dashboard all the way back to a CRM API change
- The Data Quality Agent, which detected and classified the issue in real time, flagging affected records
- The Business Notebook, where teams collaborated, reviewed logs, and annotated the resolution for future reference
The Outcome
✅ Mean time to resolution dropped from 6 hours to 20 minutes
✅ Engineering escalations dropped by 70%
✅ Data consumers regained trust in critical reports
“What used to take a cross-functional war room now takes a single scroll through the Notebook.”
– Lead Data Engineer
Story 2: From Data Chaos to Compliance Confidence
Customer: Prominent Financial Services Firm
The Challenge
A mid-sized bank was facing mounting compliance pressure. Managing PII across data warehouses, BI tools, and cloud storage was a manual, error-prone process. Policy enforcement was inconsistent. Audit prep took weeks.
How ADM Helped
With Agentic Data Management, they activated:
- The Compliance Agent, which scanned data environments for PII, auto-tagged fields, and enforced access restrictions
- The Privacy & Guardrails Sidecar, which showed users why access was blocked—and what options they had
The Business Notebook, which gave compliance, engineering, and analysts a shared view of lineage and policy status
The Outcome
✅ Audit preparation time reduced by 90%
✅ No policy violations reported post-rollout
✅ Compliance, IT, and business teams now work from the same source of truth
“For the first time, compliance feels like part of the workflow—not an afterthought.”
– Chief Risk Officer
Story 3: Self-Service & Trustworthy Data for Business Teams
Customer: Leading Retail Brand
The Challenge
A retail brand’s analytics team struggled with trust in their data. Business users constantly second-guessed metrics. When dashboards looked off, they had to wait for engineers to investigate—leading to missed decisions and frustration.
How ADM Helped
With Agentic Data Management, they enabled:
- The Natural Language Interface in the Business Notebook, where users could ask questions like “Why is this metric different?” and get instant, agent-driven answers
- The Insight Agent, which flagged changes in logic and recommended a rollback based on historical lineage
- Embedded documentation that walked analysts through what happened, why, and how to move forward—no ticket needed
The Outcome
✅ 4x faster issue resolution for business teams
✅ Major reduction in engineering support requests
✅ Data literacy and trust increased across departments
“The Notebook doesn’t just show data—it explains it. That’s a game changer.”
– Marketing Analytics Lead
The Patterns Are Clear
These aren’t just improved workflows—they’re signs of a larger shift in how modern enterprises manage data. With ADM, our customers are moving from:
Ready to Join the Shift?
Whether you’re solving for data quality, compliance, or cost governance, Agentic Data Management delivers the intelligence and autonomy modern data teams need.
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