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When Data Isn’t Governed, Growth Slows and Risk Grows

Without clear ownership, controls, and traceability, enterprises face weak protection and delayed insight across environments.
Key Challenges

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Unclear ownership and accountability across domains.
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Limited lineage and traceability for audits and change impact.
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Privacy/security inconsistency and fragmented tooling.
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  • By 2026, enterprises will abandon 60% of AI projects unsupported by AI-ready data

  • Poor quality data costs the US $3 trillion per year

How Our Data Management and Data Governance Help You Get AI-Ready

Our data management and data governance are designed to provide frameworks, policies, and tools that ensure your enterprise's data is accurate, secure, and consistent. Our data governance sets the rules, and data quality focuses on metrics like accuracy, completeness, and timeliness.

Data Governance Services

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    Framework Development

    We establish policies, standards, roles, and processes for data management. It includes building custom software structures with pre-built tools, libraries, and best practices for speeding up application creation.

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    Data Stewardship

    Our data stewardship services assign responsibility for specific data domains. Our experts provide the hands-on management and oversight for an enterprise's data assets. We ensure they are high-quality, secure, accessible, and compliant with policies like GDPR, HIPAA, and SOX to bridge IT and business through governance implementation.

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    Framework Development

    With our leading data governance services, we implement controls for data access, privacy, and regulatory adherence (e.g., GDPR, HIPAA, SOX). Our security and compliance services help enterprises protect digital assets, manage risks, and meet legal standards.

Data Governance Services

Data Quality Services

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    Data Profiling and Assessment

    Our team analyzes data to identify issues like inaccuracies, missing values, or duplicates. Our services involve the systematic analysis and data review to fully understand its structure, content, and quality. This complete process helps identify inconsistencies and anomalies.

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    Data Cleansing and Enrichment

    Our data cleansing and enrichment services clean and enhance enterprise data by removing errors and adding valuable context to create accurate, complete, and powerful datasets. It further helps businesses in better decision-making and streamlining operations.

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    Monitoring and Reporting

    We use tools to continuously track data quality metrics like accuracy, completeness, consistency, timeliness, validity, and uniqueness. Through monitoring and reporting, we enable stakeholders to make informed and timely decisions to ensure that their goals are met.

Data Quality Services

Let's Engineer What's Next

Govern enterprise data with clear policies and ownership

Automate data quality controls with monitoring and alerts

Build compliant, AI-ready data with lineage and security

    What You Gain When Governance Becomes Outcome-Driven

    Our data governance and quality experts offer expertise, custom strategies, and best practices to implement the frameworks effectively.

    check-iconHigher data trust with consistent ownership, definitions, and controls.
    check-iconFaster time-to-insight with streamlined access to governed data.
    check-iconLower compliance effort with automated controls and lineage evidence.
    check-iconStronger privacy and security through classification and consistent protection.
    check-iconGreater agility through safe reuse and governed sharing.
    check-iconLower TCO by reducing fragmented tools and manual work.

    Our Ecosystem

    Great-Expectations

    How We Make Governance Stick Without Slowing Delivery

    We follow a governance-by-design approach that builds trust, control, and measurable data quality without slowing delivery.

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    Discover and Prioritize Domains

    We assess governance maturity, identify gaps and risk, and prioritize the data domains that matter most to business outcomes.

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    Define Stewardship and Decision Rights

    Our team designs a federated operating model with clear ownership, RACI, councils, and enforcement workflows so accountability sticks.

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    Build Active Metadata and Definitions

    We implement catalog, glossary, and a modern data dictionary so teams can find, understand, and reuse trusted data and KPIs.

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    Establish End-to-End Lineage

    Our experts deliver vertical, horizontal, and physical lineage to enable impact analysis, audit evidence, and safer change management.

    Automate Controls and Data Quality

    We operationalize risk-based classification, data quality rules, monitoring and alerts, and privacy and access controls for continuous compliance.

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    Pilot, Operationalize, and Scale

    We deliver quick wins, embed governance into data delivery workflows, and scale across domains using reusable accelerators and enablement.

    With TxMinds You Trust Your Data Because it is Governed and Verified

    TxMinds is a leading service provider in data governance and quality. We bring governance, quality, MDM, privacy, compliance, and responsible AI into one execution-ready framework so that your data becomes trusted, secure, and usable for analytics and AI.

    Outcome-Driven, Not Control-First

    Tie governance to business KPIs and time-to-trust.

    AI-Accelerated Governance

    Active metadata, auto-lineage, auto-classification, policy hints.

    Federated Model That Sticks

    Distributed ownership with centralized guardrails and enforcement.

    Lineage as the Backbone of Trust

    Impact analysis, audit evidence, safer change management.

    Privacy-by-Design

    RBAC, masking/tokenization/encryption, approvals and audit trails.

    Vendor-Agnostic and Cloud-Native

    AWS/Azure/GCP; Databricks/Snowflake-ready.

    Don't Rely on Guesswork. Build Data Strategies that Bring the Best Value to Your Business

    Book A Consultation

    Insights

    FAQs

    What is Data Quality and Governance, and why is it important for my business?

    Data Quality (DQ) ensures that data is accurate, complete, consistent, and reliable. Data Governance (DG) is the overall framework of policies, roles, and processes. Data governance and quality services help your enterprise as trustworthy and well-governed data leads to improved decision-making, reduces risks, and ensures compliance.

    Which industries can benefit from TxMinds Data Quality and Governance services?

    Our data governance services and solutions are valuable for any organization managing multiple data sources, regulated data, or enterprise-scale analytics/AI:

    • BFSI & Insurance (risk, privacy, audit readiness)
    • Healthcare & Life Sciences (PHI governance, compliance, data integrity)
    • Retail & eCommerce (customer/product master data, personalization)
    • Manufacturing & Supply Chain (inventory, quality, IoT data consistency)
    • Telecom (high-volume data, lineage, security)
    • SaaS/Technology (data products, AI readiness, fast scaling)

     

    Our services also cater to mid-market to large enterprises for fast growth, multiple systems, and governance gaps.

    Which data governance and quality tools do you support or implement?

    As a leading provider in data governance services, we use the latest tech stack that includes:

    • Data Governance – Informatica, Alation, Collibra, Apache Atlas, erwin Data Intelligence, Atlan, Talend
    • Data Quality – Informatica, Ataccama, Talend, Great Expectations
    • MDM – Informatica, IBM Infosphere, Profisee
    What are the key business benefits of TxMinds data governance and quality solutions?

    TxMinds’ data governance and data quality solutions deliver these key business benefits:

    • Trusted Data for AI/Analytics
    • Faster, Better Decisions (governed KPIs)
    • Lower Compliance & Audit Risk
    • Reduced Cost of Poor Data
    • Faster Delivery via Clear Ownership/Standards
    • Stronger Security & Privacy Controls
    • Higher Efficiency through Automated Monitoring
    How does TxMinds approach data governance implementation?

    TxMinds delivers data governance and quality services by assessing your data landscape, defining clear policies and ownership (RACI), and setting up metadata foundations like catalog, glossary, and lineage. We then automate data quality monitoring and embed security/compliance controls to make your data trusted and AI-ready.
    At TxMinds, we follow a rigorous process to ensure that our data governance services deliver the best results. Our process includes:

    • Assessing your Data Landscape
    • Defining Clear Policies and Ownership (RACI)
    • Setting up Metadata Foundations
    • Automating Data Quality Monitoring
    • Embedding Security/Compliance Controls