Why do 85% of data governance projects fail to deliver expected business value? The answer often lies in choosing the wrong platform for your organization’s needs. The Microsoft Purview vs Collibra comparison has become critical as enterprises seek effective data governance solutions in an increasingly complex data landscape.
According to IDC’s 2024 Data Governance Market Analysis, companies with robust data governance platforms experience 23% faster decision-making and reduce compliance costs by 40%. However, picking the wrong solution can set your governance initiative back by years.
Microsoft Purview and Collibra represent two different philosophies in data governance. Purview focuses on seamless integration within Microsoft environments, offering built-in connectivity with Azure, Office 365, and Power BI. Meanwhile, Collibra takes a platform-agnostic approach, providing comprehensive governance capabilities across diverse technology ecosystems.
The stakes couldn’t be higher. Organizations need solutions that not only catalog and classify data but also enforce policies, ensure compliance, and enable self-service analytics. This detailed comparison examines how each platform addresses these challenges, helping you understand which solution aligns with your infrastructure, budget, and governance maturity level.
TL;DR
Microsoft Purview and Collibra are two leading data governance solutions that help organizations manage data quality, compliance, and discovery. While Purview integrates seamlessly with Microsoft ecosystems and offers cost-effective cloud-native features, Collibra provides advanced collaboration tools and enterprise-scale governance capabilities across diverse data environments.
Data governance has become a critical business function as organizations handle increasing volumes of data across multiple platforms. According to IBM’s 2024 Cost of a Data Breach Report, companies with comprehensive data governance frameworks reduce breach costs by an average of $1.76 million compared to those without proper governance structures.
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Overview of Microsoft Purview
Microsoft Purview is a single data governance system that assists companies to find, label and secure information in both cloud and on-premise systems. It gives detailed data security, data compliance, and data quality management tools.
Core Purpose and Integration
Microsoft Purview governance collects data management in your whole Microsoft ecosystem. It has built-in connectivity with Azure, Microsoft Fabric, Power BI, Office 365, and Dynamics 365, without the use of third-party connectors. Moreover, such smooth integration allows the automatic metadata capture and policy enforcement of all Microsoft services. Those organizations that are already invested on Microsoft technologies enjoy being able to run one governance without having to run various platforms.
Key Capabilities
- Data Discovery and Cataloging – Automated data discovery scans your environment identifying datasets, databases, and files automatically. Purview creates a searchable catalog showing what data exists, where it lives, and who owns it. Additionally, business glossaries define terms consistently across the organization.
- Automated Data Lineage – Data lineage tracking visualizes how information flows between systems automatically. See which reports depend on specific databases, how data transform through pipelines, and where sensitive information travels. Moreover, lineage supports impact analysis when planning changes.
- Sensitivity Labels and Compliance – Data classification uses automatic sensitivity labels, which are determined by content. Purview determines personal data, money data and confidential data. Moreover, it has in-built compliance templates that are relevant to GDPR, HIPAA, and industry standards.
Strengths for Cloud-First Organizations
Microsoft Purview provides a perfect fit to any organization that is moving to Azure or Microsoft 365 due to its cloud-native structure. It can be automatically scaled and needs minimum infrastructure management and hence it is ideal in companies that value Microsoft cloud environments.

Microsoft Purview Feature Analysis
| Feature Category | Capability | Strength Level | Best Use Cases |
| Data Discovery | Azure-native scanning | Excellent | Microsoft cloud environments |
| Classification | AI-powered labeling | Very Good | Compliance automation |
| Lineage Tracking | Visual impact analysis | Good | Change management |
| Access Governance | Microsoft 365 integration | Excellent | Unified security policies |
| Cost Management | Consumption-based pricing | Very Good | Predictable Microsoft budgets |
Implementation Insight: Organizations already using Microsoft services can typically implement Purview faster than alternative solutions due to existing infrastructure and user familiarity with Microsoft interfaces and workflows.
The Microsoft Purview pricing model follows Azure consumption patterns, making it attractive for organizations with existing Enterprise Agreements. Cost predictability improves for companies already managing Azure spending through established budgeting processes.
Overview of Collibra
Collibra is a data governance business enterprise that is created to handle data as a strategic business asset. It focuses on the teamwork governance between business and technical teams within the organization.
Governance Philosophy and Approach
Collibra governance is a part of the shared business responsibility rather than IT activity. The platform has a vendor-neutral architecture that operates with a wide range of technology stacks- cloud, on-premises, legacy systems, and modern platforms. Also, Collibra does not prioritize certain vendors, which is why it is best suited to environments with heterogeneous enterprises with a number of databases, analytics tools, and cloud providers.
Key Capabilities
- Business Glossary and Stewardship Workflows – Business glossary management defines data terms consistently across departments. Data stewards use built-in workflows to review definitions, approve changes, and resolve conflicts. Moreover, role-based assignments ensure clear accountability for data domains.
- Policy Management and Approvals – Data policy enforcement establishes rules governing data usage, retention, and access. Approval workflows route policy changes through appropriate stakeholders. Additionally, automated notifications keep teams informed about policy updates affecting their data.
- Data Lineage and Governance Operating Model – Enterprise data lineage maps information flow across complex multi-platform environments. Collibra assists in setting up governance operating models that have specific roles, duties, and escalation channels. Moreover, flexible structures will fit company organizations.
Strengths for Complex Enterprises
Multi-platform governance is what makes Collibra the best to suit large organizations with heterogeneous technology environments, complicated regulatory needs, and decentralized businesses that need to coordinate governance between business units and geographic locations.

Collibra Feature Analysis
| Feature Category | Capability | Strength Level | Best Use Cases |
| Multi-Cloud Support | Broad connector ecosystem | Excellent | Complex technology landscapes |
| Workflow Management | Custom governance processes | Excellent | Large governance teams |
| Business Collaboration | Stakeholder engagement tools | Very Good | Cross-functional governance |
| Data Quality | Advanced monitoring rules | Very Good | Critical data pipelines |
| Customization | Flexible configuration | Excellent | Unique business requirements |
Enterprise Consideration: Collibra excels in organizations with dedicated governance teams and complex compliance requirements that span multiple technology platforms.
Enterprise implementation typically requires several months for full deployment, depending on organizational complexity and customization requirements. The platform provides extensive APIs and webhooks for integration with existing enterprise workflows and third-party data management tools.
Microsoft Purview vs Collibra: Governance and Compliance
Data governance platforms have systems that are used to govern data quality, data security and regulatory compliance within enterprise environments. Knowledge of differences in platforms enables organizations to make the right choices.
1. Role of Governance Frameworks
Enterprise data governance outlines the way in which organizations manage, guard and exploit their information resources. In both platforms, data ownership, quality policies and security are set. Also, the governance structures discourage unauthorized access, data accuracy, as well as the retention policies. Strong grounds of governance are needed in regulated industries in order to be operationally successful and in compliance with regulations.
2. Audit Trails, Access Control, and Data Ownership
Microsoft Purview automatically captures comprehensive audit logs across Microsoft services showing who accessed datasets and when. Built-in access controls integrate seamlessly with Azure Active Directory. Moreover, ownership assignments tag datasets with responsible business and technical stakeholders.
Collibra governance provides highly customizable audit workflows and multi-level approval processes. Additionally, it establishes formal data stewardship models with clear accountability chains spanning business units. Role-based access controls adapt to complex organizational hierarchies across multiple technology platforms.
3. Supporting Regulatory Requirements
Both platforms address GDPR compliance through automated data classification and privacy controls. SOX requirements get satisfied via comprehensive audit trails and access management. HIPAA protections include sensitivity labeling and encryption policy enforcement. Furthermore, PCI-DSS standards benefit from automated discovery identifying payment card information across environments.
4. Platform Strengths for Compliance
Microsoft Purview excels in Microsoft-centric organizations requiring tight integration with Azure, Office 365, and Dynamics. Native compliance tools and automatic policy enforcement across Microsoft services reduce implementation complexity. Organizations standardized on Microsoft cloud benefit from unified governance without managing multiple systems.
Collibra fits better for heterogeneous enterprise landscapes spanning multiple vendors and technologies. Its platform-neutral framework manages data on different databases, analytics applications and cloud vendors. Moreover, institutions of financial services and healthcare which have intricate regulatory mandates are also more likely to favour Collibra custom governance structures and workflow.
5. Policy Enforcement and Monitoring
Microsoft Purview is automated which means that policies are enforced across the Microsoft ecosystem automatically and do not require manual intervention. Real-time surveillance identifies a breach in real-time and sends warning. On the other hand, the policy management of Collibra focuses on collaborative governance where sensitive decisions are made by human oversight. Organizations that need tight control over change use Collibra deliberate approval and those that need to be quick and automated use Purview automatic enforcement features.

Industry Applications and Compliance Standards for Purview
1. Healthcare:
Organizations benefit from Microsoft Purview’s healthcare-specific templates and HIPAA compliance features. The solution integrates with Microsoft Cloud for Healthcare, providing specialized data governance for electronic health records and patientdata. Healthcare organizations report significant reduction in compliance preparation time when implementing Purview alongside existing Microsoft infrastructure.
Healthcare data analytics initiatives require comprehensive governance frameworks to protect patient privacy while enabling clinical insights.
2. Manufacturing: Companies use Microsoft Purview to govern IoT sensor data and production metrics across Azure IoT platforms. The solution’s integration with Azure Synapse Analytics supports real-time data governance for operational analytics. Manufacturing organizations leveraging Azure Digital Twins see enhanced asset data governance through Purview’s industrial IoT connectors.
Manufacturing analytics solutions benefit from integrated governance capabilities that ensure data quality across production systems.
3. Financial Services: Organizations leverage Microsoft Purview’s integration with Microsoft’s compliance center for regulatory reporting and data residency requirements. The platform supports SOX compliance workflows and provides audit trails for financial data governance. Financial institutions benefit from built-in risk assessment templates and automated compliance reporting for regulatory examinations.
The solution provides industry-specific governance templates for banking, healthcare, and manufacturing, reducing implementation complexity compared to custom framework development.
Industry Applications and Regulatory Compliance for Collibra
1. Retail: Organizations use Collibra to govern customer data across multiple touchpoints and ensure consistent product information management. The platform’s data quality features help maintain accurate inventory and pricing data across e-commerce platforms. Retail companies report improved customer data accuracy through Collibra’s master data management integration.
Retail analytics solutions require comprehensive data governance to maintain customer data accuracy across omnichannel experiences.
2. Large Enterprises: Companies with complex data landscapes benefit from Collibra’s ability to govern data across multiple cloud providers and legacy systems. The solution excels in organizations with dedicated data governance teams and complex compliance requirements spanning GDPR, CCPA, and industry-specific regulations.
3. Logistics: Companies leverage Collibra’s lineage capabilities to track data flows across supply chain systems and ensure data accuracy for operational decision-making. Supply chain organizations benefit from advanced data quality monitoring across transportation management systems and warehouse management platforms.
Collibra supports comprehensive regulatory frameworks including GDPR compliance documentation, CCPA privacy rights automation, and SOX financial data governance. The platform provides automated compliance reporting for audit preparation and regulatory examination processes.
Comparison of Core Features: Microsoft Purview vs Collibra
| Feature | Microsoft Purview | Collibra | Decision Factor |
| Data Discovery | Automated for Microsoft sources | Broad connector ecosystem | Existing technology stack |
| User Interface | Microsoft-familiar design | Specialized governance workflows | User technical expertise |
| Compliance Templates | Microsoft compliance center | Industry-specific frameworks | Regulatory requirements |
| Pricing Model | Consumption-based Azure pricing | Enterprise licensing | Budget structure |
| Implementation Speed | Fast in Microsoft environments | More comprehensive | Time-to-value priorities |
The comparison reveals significant differences in approach and target audiences. Microsoft Purview focuses on Microsoft ecosystem optimization, while Collibra targets complex, multi-vendor environments requiring extensive customization.
Organizations considering cloud migration services should evaluate governance capabilities alongside migration planning to ensure comprehensive data protection.
Technical Integration Comparison: Microsoft Purview vs Collibra
| Integration Type | Microsoft Purview | Collibra | Impact on Decision |
| Microsoft 365 | Native integration | Third-party connectors | High for Office-heavy organizations |
| Azure Services | Built-in connectivity | API-based integration | Critical for Azure-first companies |
| AWS/Google Cloud | Standard connectors | Native support | Important for multi-cloud strategies |
| Snowflake/Databricks | Marketplace connectors | Pre-built integrations | Key for modern data stack |
| Legacy Systems | Limited direct support | Extensive adapter library | Critical for established enterprises |
Why This Matters: Integration capabilities directly impact implementation complexity, ongoing maintenance effort, and total cost of ownership. Organizations should evaluate their current and planned technology landscape when making this decision.
Enterprise data management requires seamless integration across diverse technology platforms. Collibra’s extensive connector library supports numerous data sources, while Microsoft Purview provides deep integration with Microsoft and Azure services with expanding third-party connector support.
Data integration services complement governance implementations by ensuring consistent data flows across enterprise systems.
Cost Structure Comparison: Microsoft Purview vs Collibra
| Cost Component | Microsoft Purview | Collibra | Financial Impact |
| Licensing Model | Pay-per-use consumption | Annual enterprise licensing | Affects budget predictability |
| Implementation Services | Lower complexity in Microsoft environments | Higher due to customization needs | Impacts initial investment |
| Training Requirements | Minimal for Microsoft users | Extensive for new users | Ongoing operational costs |
| Maintenance Overhead | Microsoft-managed updates | Customer-managed upgrades | Long-term TCO implications |
| Scaling Costs | Linear with data volume | Stepped with user tiers | Growth accommodation |
Financial Planning Insight: While Purview may offer lower upfront costs for Microsoft-centric organizations, Collibra can provide value for complex, multi-vendor environments requiring extensive customization.
Data governance software pricing varies significantly based on organizational size and complexity. Organizations should evaluate both immediate costs and long-term scaling implications when selecting platforms.
Implementation Timeline Comparison: Microsoft Purview vs Collibra
| Implementation Phase | Microsoft Purview | Collibra | Success Factors |
| Planning & Assessment | 2-4 weeks | 4-8 weeks | Stakeholder alignment critical |
| Technical Setup | 1-3 weeks | 4-8 weeks | Existing infrastructure matters |
| Data Source Configuration | 2-4 weeks | 6-12 weeks | Connector availability impacts speed |
| User Training | 1-2 weeks | 4-6 weeks | User technical background important |
| Go-Live & Optimization | 2-4 weeks | 4-8 weeks | Change management crucial |
| Total Timeline | 8-17 weeks | 22-42 weeks | Professional services accelerate delivery |
Implementation Reality: Timeline estimates assume dedicated resources and proper change management. Organizations without internal expertise typically benefit from professional services to ensure successful deployment.
Effective data governance tools require comprehensive implementation planning regardless of vendor choice. Success depends heavily on organizational readiness, stakeholder alignment, and professional services support rather than just technical capabilities.
Implementation services from experienced partners help ensure successful deployment and sustainable governance practices.
Case Study: Mastering Data Governance with Microsoft Purview
Discover how Kanerika helped leading enterprise overcome data governance challenges using Microsoft Purview.
5-Year TCO Modeling: Microsoft Purview vs Collibra
Knowledge of the actual total cost of ownership (TCO) assists organizations to be more wise about their data governance investments. In addition, effective cost modeling will avoid unexpected budgets and will guarantee long term financial viability.
1. Cost Modeling Methodology
Direct Costs Analysis First, calculate licensing fees, infrastructure expenses, and annual support contracts. Also, include the costs of cloud consumption of an Azure-based deployment. In addition, add costs of maintaining vendors and costs of engaging professional services.
Indirect Costs Assessment Meanwhile, training programs require significant investment for data stewards and IT teams. Similarly, change management initiatives consume resources during platform adoption. Consequently, temporary productivity losses during implementation must be budgeted.
Opportunity Costs Evaluation Next, consider time-to-value differences between platforms. Specifically, delayed governance benefits impact compliance posture and data quality improvements. Therefore, faster deployment reduces opportunity costs substantially.
2. Scenario-Based TCO Models
Small Enterprise (< 50TB data, 5 data stewards)
- Purview TCO: $125,000 – $175,000
- Collibra TCO: $200,000 – $275,000
Mid-Market (50-500TB data, 15 data stewards)
- Purview TCO: $350,000 – $475,000
- Collibra TCO: $550,000 – $725,000
Large Enterprise (500TB+ data, 50+ data stewards)
- Purview TCO: $850,000 – $1,200,000
- Collibra TCO: $1,400,000 – $2,100,000
Notably, Microsoft-centric organizations achieve 30-40% lower TCO with Purview. However, multi-cloud enterprises benefit from Collibra’s platform-agnostic approach despite higher initial costs.
3. Hidden Cost Factors
- Azure Consumption Surprises – Unexpectedly, large-scale data scanning operations can spike Azure costs significantly. Therefore, implement consumption monitoring and establish spending alerts early. Subsequently, optimize scanning schedules to control costs effectively.
- Professional Services Dependencies – Conversely, Collibra implementations typically require extensive consulting support. Specifically, custom workflow development and complex integration projects increase services spend. Thus, budget 25-35% of licensing costs for professional services.
- Connector Maintenance Overhead – Furthermore, third-party connector updates demand ongoing IT resources. Particularly, legacy system integrations require constant monitoring and troubleshooting. Meanwhile, Purview’s native Microsoft connectors reduce maintenance burden considerably.
- Upgrade and Patch Management – Finally, Collibra customer-managed upgrades consume internal resources quarterly. In contrast, Microsoft handles Purview updates automatically, reducing operational overhead.
4. Cost Avoidance Opportunities
- Compliance Penalty Prevention – First, robust governance frameworks prevent costly regulatory violations. Specifically, GDPR fines reach up to 4% of annual revenue for non-compliance. Therefore, effective governance delivers measurable risk reduction value.
- Data Breach Cost Mitigation – Additionally, proper data classification and access controls reduce breach exposure. According to IBM research, comprehensive governance saves $1.76 million per breach incident. Consequently, security improvements justify governance platform investments quickly.
- Operational Efficiency Gains – Moreover, automated discovery and classification eliminate manual data inventory work. Subsequently, data stewards redirect effort toward strategic initiatives rather than administrative tasks. Thus, productivity improvements accelerate ROI realization.
5. ROI Breakeven Analysis
- Time-to-Value Comparison – Generally, Purview achieves initial value within 3-5 months for Microsoft environments. Alternatively, Collibra requires 6-12 months for comprehensive deployment and customization. Hence, faster implementations reduce opportunity costs significantly.
- ROI Calculation Formula – Calculate ROI using: (Total Benefits – Total Costs) / Total Costs × 100. Importantly, include both tangible savings and intangible risk reduction benefits. Furthermore, measure quarterly to track value realization progress.
- Breakeven Timeline Analysis – Typically, small enterprises reach breakeven in 12-18 months with either platform. Similarly, mid-market organizations break even within 15-24 months. However, large enterprises achieve breakeven in 18-30 months depending on governance complexity. Ultimately, choosing the right platform based on your technology stack accelerates payback periods.
Exploring Data Governance in Banking: A Key to Success
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Decision Matrix: Microsoft Purview vs Collibra
The decision to use Microsoft Purview or Collibra has to do with the technology ecosystem, the level of governance, and business needs. This matrix helps in the choice of platforms.
1. Cloud Strategy and Technology Stack
Select Purview when your organization is mainly based on Microsoft technologies and operates (Azure, Office 365, Power BI and Dynamics 365). Native integration does not have complex connector management. Besides, cloud-first approaches that focus on Microsoft-based systems have the advantage of interoperability of services.
Select Collibra when it comes to a multi-cloud or hybrid environment that includes AWS, Google Cloud, Azure and on-premises systems. It has a vendor-neutral architecture, which manages a variety of technology stack equally successfully. Besides, companies that do not want to get locked in with their vendors choose platform-neutral governance solutions.
2. Governance Maturity and Complexity
Purview is applicable to organizations that are just starting the governance process or those with simple needs. Automated capabilities and rapid deployment are instant value. Further, smaller groups have less administration.
Collibra aligns with businesses that have established governance systems that have complex workflows. The intricate organizational structures are supported by complex approval procedures, intricate stewardship model, and customizable frameworks. Also, large companies that require fine-grained control like Collibra.
3. Budget and Resource Considerations
Microsoft Purview offers cost advantages for existing Microsoft customers through bundled licensing. Lower implementation costs and minimal infrastructure requirements suit budget-conscious organizations. Additionally, smaller IT teams manage Purview effectively without extensive training.
Collibra requires larger investments in licensing, implementation, and ongoing management. However, enterprises with substantial data governance needs justify costs through comprehensive capabilities. Moreover, dedicated governance teams maximize Collibra’s advanced features.
4. Industry and Regulatory Requirements
Microsoft Purview works well for industries with moderate compliance needs where Microsoft’s built-in controls suffice. Technology, retail, and manufacturing sectors often find Purview adequate.
Collibra excels in heavily regulated industries like financial services, healthcare, and pharmaceuticals that requires extensive audit capabilities, complex approval workflows, and detailed policy management supporting stringent regulatory frameworks.
5. Integration and Scalability Needs
Microsoft Purview scales automatically within Microsoft environments handling growing data volumes without infrastructure planning. Cloud-native architecture adjusts capacity dynamically.
Collibra offers the scalability of enterprises in heterogeneous environments. It can support both intricate integration cases between hundreds of very different systems and still have governance continuity and performance at scale.
Drive Business Success With Robust Data Governance Powered by Microsoft Purview
Partner with Kanerika for Efficient Purview Implementation Services.
Risk Assessment Matrix: Microsoft Purview vs Collibra
Understanding data governance platform risks helps organizations prepare mitigation strategies before implementation. Evaluating potential challenges ensures successful deployments aligned with organizational capabilities.
1. Vendor Lock-in Considerations
Microsoft Purview creates higher dependency on Microsoft ecosystem. Organizations become tightly coupled with Azure services and Microsoft roadmap decisions. Conversely, Collibra’s platform-agnostic approach provides flexibility switching cloud providers or maintaining multi-vendor strategies. Therefore, evaluate your long-term technology direction before committing to either platform.
2. Scalability and Performance Limits
Microsoft Purview scalability operates within Azure service boundaries and consumption limits. Large enterprises may encounter constraints during massive data scans. Additionally, Collibra offers enterprise-proven scalability handling petabyte-scale environments across hundreds of systems. Assess projected data growth and processing requirements against platform capabilities.
3. Implementation Complexity and Timeline
Microsoft Purview implementation proves simpler within existing Microsoft environments through native integration. Quick deployment delivers faster time-to-value. However, Collibra deployment requires more extensive configuration across diverse technology stacks. Moreover, complex governance frameworks need careful design and stakeholder alignment. Ensure adequate professional services support regardless of platform choice.
4. User Adoption and Training Needs
Microsoft Purview benefits from familiar Microsoft interfaces reducing training requirements. Users comfortable with Azure find navigation intuitive. Conversely, Collibra requires specialized training programs for data stewards and governance teams. Additionally, comprehensive change management plans improve adoption rates and maximize platform value.
5. Cost Management and Budget Predictability
Microsoft Purview’s consumption-based pricing can surprise organizations with unexpected charges during large-scale scanning operations. Monitor usage closely and establish spending controls. Meanwhile, Collibra’s enterprise licensing provides predictable annual costs but requires larger upfront commitments. Therefore, establish clear budgets and monitoring mechanisms preventing overruns.
6. Integration and Maintenance Overhead
Microsoft Purview maintenance stays minimal within Microsoft environments through automatic updates and managed services. IT teams focus on governance rather than infrastructure. However, Collibra requires dedicated resources managing integrations, upgrades, and connector maintenance across multiple platforms. Plan for ongoing operational support and technical expertise requirements.
Unlock Success with a Solid Data Governance Framework
Discover key strategies to implement data governance for improved decision-making and operational efficiency.
Case Study 1: Healthcare Data Migration with Enhanced Governance
Client: Large Healthcare Network (32 terabytes of legacy records)
Challenge: The healthcare organization faced massive data governance challenges while migrating from legacy Cerner systems to Epic. They needed to maintain HIPAA compliance, preserve patient data integrity, and ensure clinical staff could access critical information without interruption. The system contained 32 terabytes of legacy records, 75 terabytes of medical images, and 34 million scanned documents that all required careful governance during migration.
Kanerika’s Solution: We implemented a comprehensive governance framework using our FLIP migration accelerators. Our approach included automated data classification to identify sensitive patient information, role-based access controls to maintain HIPAA compliance, and complete data lineage tracking from source to target systems. The migration preserved all user access levels and external system dependencies while providing an intuitive interface that required minimal staff training.
Results:
- 100% of reports successfully migrated on time and budget
- Zero HIPAA compliance violations during migration
- 30% reduction in duplicate patient records
- Significant cost savings on system maintenance redirected to Epic implementation
- Complete audit trail documentation for regulatory compliance
This project demonstrated how strong governance doesn’t slow down migration – it actually makes it more reliable and successful.
Case Study 2: Manufacturing Data Modernization with Microsoft Fabric
Client: Global Manufacturing Company
Challenge: The manufacturing client struggled with fragmented data across multiple legacy systems that made governance nearly impossible. Different departments used inconsistent data definitions, quality standards varied across plants, and regulatory compliance was difficult to maintain. They needed to modernize to Microsoft Fabric while establishing unified governance across their global operations.
Kanerika’s Solution: Using our FLIP migration accelerators, we automated the transition from Azure Data Factory and legacy SSIS packages to Microsoft Fabric. Our governance approach included establishing clear data ownership roles, implementing quality checks at every pipeline stage, and creating centralized metadata management. We leveraged Microsoft Purview for unified data discovery and classification while ensuring all governance policies applied consistently across workspaces.
Results:
- 30% improvement in data processing speeds
- 40% reduction in operational costs
- 80% faster insight delivery to business teams
- 95% reduction in report generation time
- Centralized governance policies across all global manufacturing sites
- Real-time data quality monitoring and automated alerts
The client now operates with a single source of truth for manufacturing data while maintaining strict quality and compliance standards across all locations.
Why Partner with Kanerika for Data Governance Implementation
Microsoft Solutions Partner Expertise
As a Microsoft Solutions Partner for Data & AI, Kanerika provides specialized expertise in implementing Microsoft Purview alongside comprehensive data modernization services. This partnership ensures access to the latest Microsoft tools, training, and support resources, translating to faster implementation timelines and reduced project risks.
Our experience with Azure data analytics consulting enables comprehensive governance strategies that align with organizational data architecture and analytics requirements. This Microsoft partnership provides clients with proven methodologies and access to technical resources that accelerate project delivery.
Microsoft Solutions Partner certification requires demonstrated expertise in Azure Synapse Analytics, Power BI, and Azure Machine Learning implementations. This certification ensures access to specialized features and dedicated Microsoft support channels for complex implementations.
Partnership Value: Working with a Microsoft Solutions Partner provides organizations with proven implementation methodologies, reduced project risks, and access to specialized expertise that accelerates time-to-value.
Data governance consulting requires deep technical expertise combined with organizational change management capabilities. Professional services providers with industry-specific experience reduce implementation risks and ensure sustainable adoption across business and technical teams.
KANGovern KANGuard & KANComply: Accelerating Enterprise-Grade Data Governance
KANGovern, KANGuard KANComply are Kanerika’s purpose-built governance accelerators designed to simplify and scale enterprise data governance using Microsoft Purview. While KANGovern focuses on establishing clear data ownership, classification, lineage, and policy enforcement aligned with business goals, KANCompy addresses regulatory readiness by operationalizing privacy controls, risk management, and compliance reporting across regulated environments. Complementing this, KANComply focuses on regulatory readiness by operationalizing controls for data privacy, risk management, and compliance reporting across regulated environments. Together, these solutions reduce governance complexity, shorten implementation timelines, and ensure consistent enforcement of data policies. By combining automation, best-practice frameworks, and deep Microsoft ecosystem integration, KANGovern and KANComply help organizations achieve trusted, compliant, and analytics-ready data foundations.
Comprehensive Implementation Approach
Data governance implementations require careful planning, stakeholder alignment, and technical expertise. Kanerika provides consulting services from initial assessment through deployment and optimization, ensuring solutions meet business requirements and compliance standards.
Our implementation approach includes data discovery workshops, governance framework development, and user training programs. We help organizations establish sustainable data governance practices that improve data quality and reduce compliance risks.
Enterprise data governance success depends on proper planning, stakeholder engagement, and technical execution. Organizations working with experienced implementation partners achieve higher user adoption rates and faster time-to-value compared to internal implementations.
Data strategy consulting services help organizations develop comprehensive governance frameworks aligned with business objectives and regulatory requirements.
Leverage Microsoft Purview to Safeguard Your Data and Enhance Governance
Partner with Kanerika for Efficient Purview Implementation Services.
Frequently Asked Questions
What is the primary difference between Microsoft Purview and Collibra?
Microsoft Purview focuses on data governance within Microsoft ecosystems, providing deep integration with Azure and Office 365 services. Collibra offers platform-agnostic governance capabilities designed for complex, multi-vendor technology environments with advanced collaboration features for governance teams.
Which solution is better for organizations with existing Microsoft investments?
Microsoft Purview typically offers better value for organizations already using Microsoft cloud services due to consumption-based pricing and familiar interfaces. The solution leverages existing Microsoft infrastructure, reducing implementation complexity and total cost of ownership.
Can these solutions integrate with existing cloud data platforms?
Both platforms support integration with major cloud data platforms, though with different approaches. Purview provides native integration with Azure services and connections to AWS and Google Cloud. Collibra offers broader connector ecosystems for various enterprise data platforms across multiple cloud providers.
How does professional services support impact implementation success?
Data governance implementations require significant organizational change management alongside technical deployment. Professional services help ensure proper stakeholder alignment, comprehensive training, and sustainable governance processes.
What's the typical ROI timeline for data governance implementations?
Most organizations see initial benefits within 6-9 months of implementation, with full ROI typically achieved within 12-18 months. Key value drivers include reduced manual data management effort, improved compliance posture, and faster analytics project delivery.
ROI Factors:
- Cost Avoidance: Reduced compliance violations and manual processes
- Productivity Gains: Faster data discovery and improved data quality
- Risk Reduction: Better security and privacy protection
- Analytics Acceleration: Trusted data enabling faster business insights


