> For the complete documentation index, see [llms.txt](https://knowledgebase.fabricdata.com/fabric-knowledge-base/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://knowledgebase.fabricdata.com/fabric-knowledge-base/others/root-cause-analysis-rca.md).

# Root Cause Analysis (RCA)

## Root Cause Analysis (RCA)

<br>

### Executive Overview

<br>

When a significant issue occurs, we conduct a formal Root Cause Analysis (RCA) to ensure it is fully understood, resolved, and prevented from recurring.

<br>

Our RCA process is designed to protect data integrity, system stability, and operational continuity — particularly for high-visibility and mission-critical projects.

***

### Our Approach

<br>

We focus on five core principles:

<br>

1\. Clarity

Define the issue precisely, including scope and business impact.

<br>

2\. Accountability

Investigate system behavior, workflows, and controls to determine the true underlying cause.

<br>

3\. Resolution

Implement a targeted, system-level fix — not a temporary workaround.

<br>

4\. Safeguards

Introduce controls and validations to prevent recurrence.

<br>

5\. Transparency

Provide structured, client-facing summaries outlining findings and corrective actions.

***

### When an RCA Is Initiated

<br>

We initiate an RCA for issues involving:

* Data integrity or structural hierarchy risks
* Workflow or approval breakdowns
* High-priority or high-profile projects
* Systemic or recurring behavior

***

### What Clients Can Expect

For qualifying incidents, we provide:

* Executive summary
* Impact assessment
* Confirmed root cause
* Resolution details
* Preventive measures
* Current system status

<br>

Our objective is not only to resolve issues quickly — but to continuously strengthen platform reliability and governance.