- Consulting services
MCP-Powered Data Quality Accelerator for Azure
This consulting engagement delivers a rapid, repeatable framework that uses MCP and Microsoft Azure services to automate data quality validation, anomaly detection, and governance at enterprise scale.
Ensure trusted, compliant, and analytics-ready data across your Azure estate—without rebuilding your pipelines. People Tech Group’s MCP-Powered Data Quality Accelerator integrates Model Context Protocol (MCP) with Microsoft Azure services to deliver a production-ready, AI-assisted framework for automated data quality validation, anomaly detection, and governance.
This rapid-deployment consulting offer connects Azure Purview, Synapse, Fabric, and Data Factory using MCP for real-time rule enforcement and lineage tracking. It delivers a live Data Quality Health Index, AI remediation playbooks, and an audit-ready governance framework—aligning to GDPR, CCPA, and enterprise zero-trust policies. Accelerate your journey to reliable, compliant data with a plug-and-play solution designed to scale across multi-cloud environments.
Purpose: To implement a production-ready, AI-assisted data-quality fabric that: • Connects Azure Purview, Synapse, Fabric, and Data Factory through MCP for standardized, real-time quality checks. • Applies machine-learning anomaly detection and rule-based validation to critical data assets. • Provides executives with a unified “Data Quality Health Index” dashboard and audit-ready lineage.
Workstream 1: MCP Accelerator Deployment (4–6 weeks) • Deploy MCP servers and connectors for both Azure and non-Azure data sources • Configure Azure Purview rules and apply sensitivity labels • Integrate AI models (Azure OpenAI / Azure Machine Learning) for anomaly detection and remediation Deliverables: • MCP integration layer fully deployed • Automated data quality rule engine • AI remediation playbooks for common data issues
Workstream 2: Governance & Operations Playbook • Define roles, responsibilities, and escalation workflows (RACI) • Establish policy templates for data classification, retention, and lineage tracking • Map MCP audit logs to existing SIEM systems or Azure Purview auditing workflows Deliverables: • Governance Playbook (PDF & PPT formats) • RACI matrix and reusable policy templates
Workstream 3: Executive Quality Dashboard • Build interactive dashboards using Power BI or Microsoft Fabric Scorecard, powered by MCP metrics • Conduct training for data stewards to interpret quality scores and AI-generated alerts Deliverables: • Live Data-Quality Health Index dashboard • Admin guide and handover workshop for internal teams
Compliance & Certification Readiness • GDPR/CCPA & Industry Standards: MCP audit trails + Purview labels ensure sensitive data is discovered, tagged, and access-controlled. • Audit-Ready Evidence: All validations, fixes, and lineage graphs exported in tamper-evident format for regulators and internal auditors. • Zero-Trust Alignment: Uses Azure AD, managed identities, and role-based permissions; no persistent credentials stored in code. Customer Benefits • 70 % faster identification and resolution of data issues through AI-driven validation and self-healing pipelines. • Single source of truth for data lineage, quality scores, and policy compliance across multi-cloud estates. • Future-proof integration: New data sources plug in via MCP connectors—eliminating custom code and accelerating time-to-value. • Reduced compliance risk with continuous classification, masking, and auditable MCP logs. • Increased analyst productivity and executive confidence in data-driven decisions