Data Governance Services

Establish trusted data foundations that support and strengthen compliance, audit readiness, and explainable AI through expert data governance consulting services. 

Trusted by enterprise & fast-growing tech teams

GOVERNANCE THAT DRIVES TRUST & AGILITY

We help establish governance frameworks that improve data quality, define accountability, and create consistent data practices across the enterprise. By increasing visibility into critical data assets and reducing fragmentation across systems and teams, organizations can strengthen compliance, improve operational efficiency, and make more confident business decisions while building a trusted foundation for analytics and AI.

Data governance challenges

We help organizations overcome the most critical governance obstacles that limit compliance and AI adoption.

Inconsistent data across systems

Standardize definitions, policies, and data quality controls to create a trusted, consistent view of customers, products, and operations across the enterprise.

Regulatory & compliance risk

Establish governance frameworks, controls, and auditable processes that help meet regulatory requirements while reducing compliance burden and risk.

Stalled AI & analytics initiatives

Improve data quality, lineage, and transparency so AI, analytics, and reporting programs can deliver accurate insights and drive business adoption.

No clear ownership of data

Define governance roles, responsibilities, and stewardship models that create accountability and accelerate decision-making across business and IT teams.

Governance programs that don't stick

Build practical governance operating models aligned to business objectives, ensuring adoption, leadership commitment, and sustained return on investment.

Data silos limiting business visibility

Connect governance practices across systems and domains to improve data consistency and enterprise-wide visibility.

Benefits of enterprise data governance 

Data governance establishes a clear ownership structure and sets strict quality standards. It ensures that data is used responsibly from the moment it is collected to the moment it is deleted.  

Accurate reporting 

Leaders can make strategic decisions based on verified data. 

Effortless compliance 

Meeting strict regulations becomes routine with data governance practices.  

Operational efficiency 

Teams stop wasting hours fixing broken data and resolving system conflicts. 

Our data governance services

From designing frameworks to implementing AI and cloud governance, each offering ensures your data is secure and actionable.

Program management & strategy

Accelerate governance adoption with a clear operating model, executive alignment, and a roadmap built for long-term business impact.

Governance & maturity assessment

Identify governance gaps and prioritize improvements with maturity assessments benchmarked against industry standards and peers.

Data catalog & metadata management

Improve data discovery and trust with catalogs, lineage, and metadata frameworks that make enterprise data easier to govern.

Data quality management

Increase confidence in business decisions with data quality frameworks that improve accuracy, consistency, and ongoing reliability.

Data security & privacy

Reduce compliance risk with governance controls that protect sensitive data and enforce enterprise-wide privacy and access policies.

Master data management (MDM)

Create a trusted single source of truth for critical business data across customer, product, supplier, and financial systems.

AI data governance

Build a trusted and governed data foundation for AI systems through lineage, access management, and ongoing oversight.

Data governance operating model

Streamline data ownership and decision-making with a governance operating model grounded in your enterprise data landscape and architecture.

Data lifecycle governance

Automate governance controls from data creation to deletion with AI systems that adapt to changing compliance and lifecycle requirements.

Why enterprises choose us for data governance services

Recognized as an award-winning digital transformation partner, 10Pearls brings deep expertise in data, AI, and governance to help organizations build trusted data foundations.

Enterprise-scale governance

We design realistic operating models that improve data quality and compliance without slowing business operations.

End-to-end delivery

Our multidisciplinary team integrates strategy, technology implementation, and change management to deliver faster results.

Industry-specific compliance expertise

Deep experience addressing governance, privacy, and compliance challenges across highly regulated and data-sensitive industries.

Governance built for AI initiatives

As an AI-native organization, we help clients establish governance practices that support analytics, GenAI, and ongoing AI initiatives.

Change management & adoption

From change-management frameworks to enablement workshops, we provide support and resources that drive adoption of data governance practices across teams.

Our approach to enterprise data governance

Our approach to data governance combines structured processes and proven best practices, with a deep understanding of AI data readiness to ensure your data is accurate and actionable.

Gain visibility & identify risks

The engagement begins with a review of existing data practices, ownership models, and challenges across the organization.

Design roadmap & strategy

Based on the findings, governance policies, roles, and a phased roadmap are developed around business priorities.

Embed governance at scale

Put governance into practice by configuring platforms and integrating processes into daily operations.

Improve trust & accountability

Measure adoption, review data management practices, and refine governance processes as business needs evolve.

Enable AI & future readiness

Refine governance policies, controls, and operating models to support emerging technologies, regulations, and business needs.

Industries we support

Healthcare

Secure and govern patient data to meet HIPAA, GDPR and other patient privacy and healthcare data laws and compliance requirements.

Financial services

Build the ownership and reporting frameworks needed to meet SOX, GLBA, and other regional and domain-specific risk management standards.

Insurance

Manage policy, claims, and customer data with the controls and accountability needed to meet regulatory demands while enabling secure AI use.

Media

Manage subscriber and operational data while focusing on consent, audience privacy, and compliance with GDPR and other regional regulations.

Retail

Safeguard customer and payment information in compliance with PCI-DSS and data privacy laws, with governance for consent and marketing data.

Public sector & non-profit

Govern public and organizational data to enable cross-agency collaboration, responsible data use, and better service delivery.

Energy

Establish trusted data foundations for grid operations, regulatory reporting, AI-driven forecasting, and predictive maintenance.

Transportation

Ensure data integrity to enhance safety, operational efficiency, and smarter mobility policies with interoperability for seamless travel.

Tools & technologies  

We build data governance foundations with industry-leading data catalog and lineage solutions, recommending the technologies that best fit your enterprise objectives and data ecosystem.  

Case studies  

case study - financial services

Accelerating Distribution with Real-Time Insights

Modernizing distributor operations with a secure, custom-built portal that delivers instant investment insights and elevates client service.

10K distributors achieved adoption
Accelerated partner productivity
Read case study →
Accelerating Distribution with Real-Time Insights
Accelerating Care Delivery with Intelligent Automation
Accelerating Care Delivery with Intelligent Automation
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Insights

5 Essential steps to prepare your data for successful AI implementation

AI/ML

5 Essential steps to prepare your data for successful AI implementation

This AI maturity assessment guide defines the maturity levels and provides a set of 25 self-assessment questions to help you...

Implementing governance-driven enterprise AI frameworks

AI/ML

Implementing governance-driven enterprise AI frameworks

Enterprise AI agent frameworks enable scalable, secure multi-agent systems that automate workflows while maintaining governance and compliance.

AI maturity assessment guide: measure, improve, and scale your AI capabilities

AI/ML

AI maturity assessment guide: measure, improve, and scale your AI capabilities

This AI maturity assessment guide defines the maturity levels and provides a set of 25 self-assessment questions to help you...

FAQs for data governance consulting services

What is data governance?

Data governance focuses on responsible, compliant, and secure collection, management, and automation of data. Effective data governance enables policy enforcement at the point of access and makes it easier for business users to find quality data that conforms to regulatory requirements. The result is more useful data for decision-making, stronger compliance posture, and reduced risk.

A successful governance program starts with identifying the gaps in your governance, that are or may end up weakening the compliance posture of the business. We work with organizations to evaluate their current environment, prioritize the most pressing challenges, and establish a practical path forward. This approach creates a strong foundation for long-term governance without adding unnecessary complexity.

In order to ensure stakeholder buy-in for data governance, you must start by translating governance from an abstract requirement into a solid business case. Start with one governance dimension, its compliance implications, and see how it impacts the adoption of AI. Educate them on risks, secure AI grounding and build momentum through demonstrable progress. Lastly, keep the communication open with the stakeholders.

We partner with organizations to create tailored governance frameworks that align with business and AI objectives, define roles and responsibilities, implement policies, and integrate technology for consistent, reliable data.

Build a trusted foundation for AI, analytics, & compliance 

Create a governance framework that improves data quality and compliance while enabling analytics, automation, and AI-driven innovation.  

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