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Ozessa

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

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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
Strategic Overview
Why Your Power BI Numbers Never Match
Owned by you. Built for truth.

Why Your Power BI Numbers Never Match

The comprehensive anatomy of the "Trust Deficit" in modern reporting.

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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
TL;DR / Executive Summary

Dashboard discrepancies lead to boardroom "Decision Paralysis".

Manual reconciliation consumes 15-20% of senior analyst time.

Silent logic drift between silos creates unmanaged financial risk.

Read Time
12 MIN READ
Authority
Strategic Overview
Tier
Strategic Overview
KEY FACTS
FACT_01

82% of SMEs report "Lack of Trust" in automated dashboards.

FACT_02

Typical logic drift exceeds 5% within 90 days of deployment.

FACT_03

Manual Excel "Shadow Reporting" is the #1 cause of Manual Data Work.

Definition

What is Trust Deficit?

The gap between the numbers presented in a dashboard and the actual financial truth recorded in source ledgers, typically caused by un-reconciled transformation logic.
Problem analysis
A. Symptom

Visible Signal

Dashboard says 50 units sold; ERP says 52.

B. Business Impact

Consequence

Executives revert to manual spreadsheets, rendering the BI investment useless.

C. Hidden Failure

Architecture Flaw

The pipeline "fails forward," loading data without verifying mathematical consistency.

Root cause

The root cause of the "Trust Deficit" is rarely the visualization tool itself, but rather the Structural Failure of the underlying pipeline. Traditional ETL processes are designed for "Flow" (moving data) rather than "Verification" (verifying data).

When business logic is updated in the ERP but not the Power BI reporting model, a Logic Delta is created. This is the primary signal identified during our Data Architecture Assessment. Without a Automated Checker, this Delta remains invisible until it causes a boardroom crisis.

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

Deploying a Automated Checker to verify row-level consistency.

2

Injecting Comprehensive Headers into every transformation step.

3

Automating the reconciliation loop directly in Fabric OneLake.

Business impact
40 hrs/mo
Time Recovered
$12,000/yr
Cost Mitigation
Critical
Risk Exposure
100.00%
Metric Accuracy
Technical Analysis

Most business intelligence projects fail not because of poor design, but because of a lack of mathematical integrity. When a CFO sees a number that doesn't match their ledger, the entire BI stack loses its authority. This "Trust Deficit" is the #1 reason why SMEs struggle to scale their data operations.

Ozessa eliminates this discrepancy by moving from "Passive Reporting" to Comprehensive Analytics. By injecting validation circuit-breakers into your Fabric OneLake, we ensure that the Gold layer is mathematically identical to the source Bronze layer. This architecture is the foundation of our Managed Data Reliability service.

For organizations currently suffering from inconsistent numbers, we recommend a Data Architecture Assessment to identify the specific logic drift events causing your "Weekend Recovery Work"-the late-night manual effort required to fix broken reports.

KEY TAKEAWAYS
  • ●Data mismatch is a logic problem, not a tool problem.
  • ●Automated reconciliation is the only cure for the Weekend Recovery Work.
KEY DATA POINTS
Metric: Manual Work = 520 hrs/yr
Architecture: Modern Data Architecture with Comprehensive Headers
On this page
  • Executive Summary
  • Key Facts
  • Definition
  • Problem analysis
  • Root Cause
  • Our Solution
  • Business Impact
  • Technical Analysis
  • Key Takeaways
Share Record
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What is a Data Estate? Strategic Guide & ROI Blueprint

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View all in cluster

Need a forensic architecture audit?

We identify the manual cost and technical debt hidden in your current data estate.

Start Audit
LIVE CALCULATOR

Calculate your manual data cost.

See exactly how much manual data work is costing your business in lost salary and operational lag before you commit to a structural fix.

Efficiency Diagnostic

Quantify your manual labor cost.

Adjust the sliders to match your team's current situation. We calculate the real operational cost of manual spreadsheet work.

12 hrs
5 people
£45,000

Automated Calculation

These figures represent the direct "Weekend Tax" on your operations. This is capital that could be redeployed into growth if manual reconciliations were automated.

Annual Operational Loss
£59,712

Your team of 5 spends approximately 60 hours per week on manual data tasks.

Weekly Loss12 hrs
Efficiency Cap30%
Book Consultation

Share with your team

Send this full breakdown to your email. Includes a summary of the "Weekend Tax" you can share with leadership.

Let's talk

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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