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Optimisation & Scaling
The Data Integrity & Quality Accelerator
This service is designed to ensure the foundational data fuelling your AI services (models, RAG pipelines, Copilots) is trustworthy, compliant, and optimised for performance on the Microsoft Cloud (Azure/Fabric).
Optimisation & Scaling
Data Integrity & Quality Accelerator
Comprehensive data quality management service ensuring your AI services are built on trustworthy, compliant, and optimised data foundations.
Core Outputs
AI Data Integrity Report
Bias & Label Integrity Audit
Automated Data Quality Monitoring System
Value Creation & ROI Report
Process
5 Weeks
Outcomes
Quality & Compliance
Data Quality Maturity Optimised
Your Journey With Orion
Where This Product Fits In Your Transformation
The Approach
Comprehensive Data Quality Management
We systematically assess, enhance, and monitor data quality across your AI services, ensuring your models and pipelines are built on trustworthy, compliant foundations.
Assess & Audit
We begin by comprehensively evaluating your data quality and integrity.
- Full data integrity audit across quality, volumes, consistency, and completeness
- Bias and label integrity analysis for fairness and accuracy
- Assessment of data readiness for AI services and pipelines
Enhance & Deploy
We implement automated monitoring and quality enhancement systems.
- Deploy automated data quality monitoring using Azure/Fabric tools
- Implement data quality enhancement processes and workflows
- Operationalize continuous data quality management
Validate & Measure
We quantify the business impact and ROI of improved data quality.
- Value creation and ROI analysis with quantifiable metrics
- Business impact assessment and benefit documentation
- Cost reduction and optimisation opportunity identification
What You Get
Comprehensive Data Quality Deliverables
A complete data quality management framework with detailed audits, automated monitoring, and quantifiable business value documentation.
01
AI Data Integrity Report
A comprehensive audit across Data Quality, Volumes, Consistency, and Completeness, providing a complete picture of your data foundation for AI services.
02
Bias & Label Integrity Audit
Specific findings and remediation steps for fairness and labelling errors, ensuring your AI models operate ethically and accurately.
03
Automated Data Quality Monitoring System
Deployed and operationalized using Azure/Fabric tools, providing continuous monitoring and alerting for data quality issues.
04
Value Creation & ROI Report
Quantifiable metrics showing how improved data reduces cost and delivers tangible business benefits, with clear ROI calculations.
Benefits
Why Choose The Data Integrity & Quality Accelerator?
Ensure your AI services are built on trustworthy data foundations, reducing risk and maximising performance while demonstrating clear business value.
Trustworthy AI Foundations
Ensure your AI models, RAG pipelines, and Copilots are built on high-quality, reliable data that produces accurate and trustworthy results.
Fairness & Compliance
Identify and remediate bias and labelling errors, ensuring your AI systems operate ethically and meet regulatory compliance requirements.
Continuous Monitoring
Automated data quality monitoring provides ongoing visibility and early detection of data quality issues before they impact AI performance.
Measurable Business Value
Quantifiable ROI metrics demonstrate how improved data quality reduces costs and delivers tangible business benefits with clear financial justification.
Engagement Structure
Five Weeks To Data Quality Excellence
A structured engagement taking you from initial scope definition to fully operationalized data quality monitoring with quantified business impact.
1
Week 1 • Project Kick-Off & Scope
Define Scope & Focus
Define the scope: which AI services and underlying datasets are in focus (e.g., Azure OpenAI, Azure ML models, Fabric Real-Time Analytics). Establish project objectives and success criteria.
2
Week 2 • Deep Profiling & Semantic Analysis
Comprehensive Data Assessment
Conduct deep profiling and semantic analysis of your data assets. Perform comprehensive data quality audits, assess consistency and completeness, and analyse data for bias and labelling integrity issues.
3
Week 3 • Quality Enhancement & Monitoring Setup
Deploy Monitoring Systems
Deploy automated data quality monitoring systems using Azure/Fabric tools. Implement quality enhancement processes and operationalize continuous data quality management workflows.
4
Week 4 • Validation & Business Impact
Validate & Quantify Impact
Validate data quality improvements and their impact on AI service performance. Begin quantifying business value and ROI, documenting cost reductions and tangible benefits.
5
Week 5 • Finalization & Reporting
Complete Documentation & Handover
Finalise all audit reports, monitoring system documentation, and value creation analysis. Deliver comprehensive reports and conduct handover sessions to ensure ongoing data quality management.
Value & Confidence
Measurable Data Quality Outcomes
The Data Integrity & Quality Accelerator delivers tangible improvements to your data foundation, AI service performance, and business value realization.
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Data Quality Score
Comprehensive data quality improvement across all assessed dimensions.
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Automated Monitoring
Continuous data quality monitoring with proactive alerting.
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Cost Reduction
Quantifiable cost savings through improved data quality and reduced rework.
Powered by Microsoft Azure and Fabric data quality tools.
Powered By
Microsoft Data Quality Technology Stack
We leverage Microsoft's enterprise-grade data quality and governance tools to ensure your AI services are built on trustworthy foundations.
Microsoft Fabric
Microsoft Purview
Azure Data Factory
Power BI
Azure Synapse Analytics
Azure OpenAI
Azure Data Lake
Azure Monitor
Azure ML
Data Quality Insights
Microsoft Fabric
Microsoft Purview
Azure Data Factory
Power BI
Azure Synapse Analytics
Azure OpenAI
Azure Data Lake
Azure Monitor
Azure ML
Data Quality Insights
Let our expert team help you assess, enhance, and monitor data quality across your AI services. Contact us today to begin your data integrity journey.
Start Your Data Quality Journey