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Ozessa

We build and manage reliable data systems inside your Microsoft Fabric workspace. You own everything.

Corporate Entity

Ozessa is a trading name of OZESSA LTD.
Company No. 17120532 (England & Wales)

Registered Office:
167-169 Great Portland Street
5th Floor
London, W1W 5PF

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Insights
Management Standard
Handling PII in Microsoft Fabric OneLake
Owned by you. Built for truth.

Handling PII in Microsoft Fabric OneLake

Comprehensive security standards for sensitive data.

Read AnalysisBook a consultation
FABRICENGINE
ERP
CRM
API
SQL
IoT
XLS
DeploymentInside your Microsoft tenant
Data Ownership100% yours
Lock-inNone - you keep everything
Built on Microsoft FabricEnterprise-grade architecture
Operational Depth
Executive Summary

Data leaks involving PII can lead to massive GDPR fines.

Un-masked PII in dashboards is a critical security violation.

Manual PII removal is error-prone and non-scalable.

Read Time
18 MIN READ
Authority
Management Standard
Tier
Implementation Protocol
KEY FACTS
FACT_01

Fabric Sensitivity Labels automate PII classification.

FACT_02

Ozessa PII Ownership architecture prevents accidental exposure.

FACT_03

Automated masking reduces compliance risk by 99%.

Definition

What is PII Ownership?

The practice of isolating, masking, and auditing all personally identifiable information within a data estate to meet regulatory mandates.
Problem analysis
A. Symptom

Visible Signal

Customer emails and phone numbers are visible to analysts.

B. Business Impact

Consequence

GDPR non-compliance and potential data breach liability.

C. Hidden Failure

Architecture Flaw

Treating PII as "just another column" in the Lakehouse.

Root cause

PII requires a different engineering path. It must be hashed or masked at the point of integration (Bronze) and only un-masked for authorized users in the Gold layer.

Our solution

The Reliability Engine Response

Our architecture mandates a reliability-first approach, injecting comprehensive markers and circuit breakers into the core transformation logic.

1

Automated PII detection via Microsoft Purview.

2

Implementing Row-Level and Column-Level security (RLS/CLS).

3

Comprehensive access logging for all sensitive fields.

Business impact
N/A
Time Recovered
Risk Mitigation
Cost Mitigation
Regulatory / Legal
Risk Exposure
99.9%
Metric Accuracy
Technical Analysis

Ozessa hardens your OneLake against PII leakage. We provide the technical controls to stay compliant via management-as-Code.

KEY TAKEAWAYS
  • ●PII must be secured by design, not by accident.
  • ●Fabric native security tools are the baseline, not the solution.
KEY DATA POINTS
Policy: Zero-Trust PII
Mechanism: Purview + Fabric RLS
On this page
  • Executive Summary
  • Key Facts
  • Definition
  • Problem analysis
  • Root Cause
  • Our Solution
  • Business Impact
  • Technical Analysis
  • Key Takeaways
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Ready to fix your data?

Stop spending weekends reconciling spreadsheets. Let us build a reliable data system you own - inside your own Microsoft workspace.

DeploymentInside your Microsoft tenant
Data ownership100% yours
Lock-inNone - you keep everything
Built on Microsoft Fabric
Enterprise-grade architecture
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