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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)
95% Data Quality Score
24/7 Automated Monitoring
30% Cost Reduction
Your Journey
Your transformation journey
This product is part of our structured three-phase engagement model.
Current Phase
Manage
Optimisation & Scaling
Continuous monitoring, cost control, and performance tuning.
Includes: The Data Integrity & Quality Accelerator
View all Manage products Why choose us
Benefits of The Data Integrity & Quality Accelerator
AI Data Integrity Report
Comprehensive audit and reporting on data integrity across all dimensions critical for AI service performance.Bias & Label Integrity Audit
Detailed analysis and remediation guidance for bias detection and label integrity issues in your AI training data.Automated Data Quality Monitoring System
Fully operationalized automated monitoring system providing continuous data quality oversight and alerting.Value Creation & ROI Report
Quantifiable business value and ROI analysis demonstrating the impact of improved data quality on your organisation. What you get
Comprehensive data integrity deliverables
Complete data quality framework with automated monitoring and alerting.
Signed SOW, Stakeholder Map,
Project foundation documents including signed statement of work, stakeholder mapping, and comprehensive inventory of your data and AI services.
Governance Maturity Scorecard, Initial
Assessment of your current data governance maturity level and identification of gaps that need to be addressed.
High-Level Data Flow Diagram,
Visual representation of your data flows and comprehensive assessment of data versioning practices and requirements.
Data Volumes Report (Growth
Detailed analysis of data volumes, growth rates, and initial framework for ensuring data consistency across your systems.
4 Weeks to data integrity
Click each phase to explore what happens at each stage of your data quality journey.
Week 1
Scoping & Governance Baseline
Define project scope and establish objectives for the data quality assessment
Week 2
Deep Profiling & Semantic Analysis
Comprehensive analysis of data completeness and quality metrics across all dimensions
Week 3
Quality Enhancement & Monitoring Setup
Implementation of data profiling and transformation processes to enhance quality
Week 4
Validation & Business Impact
Generation of enhanced data outputs and preparation for AI model re-training
Microsoft Azure 
Microsoft Fabric 
Azure OpenAI 
Power BI 
Power Platform 
Azure ML 
Copilot Studio 
Synapse Analytics 
Python 
Databricks 
Azure DevOps 
Power Automate Microsoft Azure Microsoft Fabric Azure OpenAI Power BI Power Platform Azure ML Copilot Studio Synapse Analytics Python Databricks Azure DevOps Power Automate Value & Confidence
Measurable Data Quality Outcomes
The Data Integrity & Quality Accelerator delivers tangible improvements to your data foundation, AI service performance, and business value realisation.
Data Quality Score: Comprehensive data quality improvement across all assessed dimensions.
Automated Monitoring: Continuous data quality monitoring with proactive alerting.
Cost Reduction: Quantifiable cost savings through improved data quality and reduced rework.
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Ready to ensure data integrity?
Let our expert team implement comprehensive data quality monitoring for your AI systems.
Start data quality review