Enterprise Data Governance Solutions — Protect, Control & Trust Your Data
Enterprise Data Governance Strategy & Consulting
Data Quality Management & Profiling
Regulatory Compliance — GDPR, HIPAA, ISO 27001
Data Lineage Tracking & Cataloguing
Master Data Management & Stewardship
Cloud Data Governance — AWS, Azure & GCP
Partnered with Startups and Fortune 500
Comprehensive Data Governance Services Built for the Modern Enterprise
Our data governance services provide the policies, processes, technology, and expertise your organisation needs to treat data as a managed, trusted, and strategically valuable asset. From initial maturity assessments and governance framework design to ongoing stewardship, compliance monitoring, and data quality management, we cover the full governance lifecycle tailored to your industry, your regulatory environment, and your business objectives.
Data Governance Strategy & Services — From Policy to Production
Data Governance Strategy
& Framework Design
We create custom data governance frameworks that match your business goals, regulatory requirements, and organizational maturity. This involves defining governance operating models, data ownership structures, policy standards, stewardship roles, and the KPIs that will measure governance effectiveness. This sets the strategic foundation on which everything else is built.
- Data governance maturity assessment
- Operating model & stewardship role definition
- Policy, standard & process documentation
- Governance roadmap with phased implementation plan
Data Quality Management & Data Profiling
Our data quality management services find, measure, and fix quality problems in your data estate. We do this by using automated profiling tools and expert-led remediation programs to set and maintain the data quality standards that your analytics and AI workloads need.
- Automated data profiling & quality scoring
- Root cause analysis and remediation planning
- Data cleansing, standardisation & enrichment
- Ongoing quality monitoring with alerting and dashboards
AWS Data Governance
We use AWS-native tools (AWS Glue Data Catalog, AWS Lake Formation, Amazon Macie for sensitive data discovery, CloudTrail for audit logging, and AWS IAM for fine-grained access control) to provide full data governance on Amazon Web Services. These AWS solutions will ensure that your data assets stored in S3 and Redshift and RDS are fully cataloged, classified, protected, and auditable.
- AWS Glue Data Catalog setup & management
- Lake Formation permission model implementation
- Amazon Macie sensitive data discovery & classification
- CloudTrail audit logging and compliance reporting
Azure Data Governance
Microsoft Purview would become the cornerstone of your Azure-based data governance program by providing a centralized, fully integrated solution for data cataloguing, lineage tracking, classification of sensitive data, and enforcing compliance policies for everything from Azure Data Lakes and Synapse Analytics to SQL databases and Power BI. Each of the governance controls will be integrated with Azure Active Directory to ensure consistent and identity-based access management.
- Microsoft Purview data catalog & lineage setup
- Sensitive data classification & labelling policies
- Azure AD-based role and access governance
- Compliance dashboards and regulatory reporting
Master Data Management (MDM)
Our Master Data Management ("MDM") practice develops and deploys MDM Governance programs that create a single authoritative source ("Single Source") for your critical business entities with defined responsibilities, change management processes, and MDM integration into existing CRM, ERP, and Analytical systems.
- Master data domain identification & scoping
- Golden record design and deduplication logic
- MDM platform implementation & integration
- Stewardship workflows and change management processes
Data Lineage & Cataloguing
We track where your data comes from, how it moves through your systems, and who uses it; so your team always knows exactly what's happening with every piece of data. This makes it easier to stay compliant, assess the impact of changes, and build trust across your organisation.
- End-to-end data lineage mapping and visualisation
- Enterprise data catalog design and population
- Business glossary creation and term management
- Impact analysis tooling for schema and pipeline changes
Regulatory Compliance &
Data Security Management
We help your organisation follow data protection laws and industry standards — including GDPR, HIPAA, and others. This covers everything from labelling your data correctly and managing privacy, to setting rules on how long data is kept, handling user consent, and knowing what to do if a breach occurs. We also keep an eye on your compliance on an ongoing basis, so you're always audit-ready.
- GDPR, HIPAA & CCPA compliance framework design
- Data classification and privacy impact assessment
- Retention policy definition and automated enforcement
- Breach detection, notification and response procedures
Data Governance Platform
Implementation & Integration
We set up and manage top data governance tools — like Microsoft Purview, Collibra, and Alation — and connect them to your existing systems. Our team takes care of everything: installation, connecting your data sources, training your users, and keeping the platform running smoothly day to day.
- Platform selection advisory and vendor evaluation
- End-to-end platform deployment and configuration
- Data source connectivity and metadata ingestion
- User training, onboarding and adoption support
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What Strong Data Governance Delivers for Your Organisation
Effective data governance is not just a compliance exercise — it is a direct enabler of business performance, operational efficiency, and strategic agility. Here is what our clients consistently achieve:
Regulatory Compliance with Confidence
Meet GDPR, HIPAA, CCPA, ISO 27001, and industry-specific regulations with documented governance controls, automated compliance monitoring, and audit-ready reporting — eliminating last-minute scrambles before regulatory reviews.
Protected Sensitive Data
Prevent unauthorised access, accidental exposure, and data breaches through classification-driven access controls, encryption policies, and continuous monitoring — keeping your most sensitive data assets fully protected at every layer.
Better Decisions from Trusted Data
When your analysts, executives, and AI models all draw from the same governed, quality-assured data, decisions improve measurably — because the foundation they are built on is accurate, consistent, and traceable.
Reduced Data Management Costs
Eliminating duplicate records, rationalising redundant data stores, automating manual data quality processes, and enforcing retention policies typically reduces data management overhead by 20–35% within the first year.
Increased Organisational Data Trust
A well-governed data environment — with clear ownership, documented lineage, and measurable quality scores — builds the internal trust that turns data sceptics into data advocates and unlocks wider analytics adoption.
AI & Analytics Readiness
Clean, catalogued, and lineage-tracked data is the prerequisite for every analytics, BI, and AI initiative. Governance is what ensures your models train on reliable data and your dashboards reflect reality.
Hire Big Data Engineers
Our data engineer specializes in advanced programs that encompas the following areas:
AWS data engineer
Specializing in Amazon Web Services, our team provides tailored solutions that ensure robust performance and scalability for your data needs.
Azure data engineer
Using Microsoft Azure, we excel in executing comprehensive data engineering projects, optimizing workflows, and enhancing integration capabilities.
GCP data engineer
With expertise in Google Cloud Platform, we provide efficient data management solutions that enhance your data analytics and storage capabilities
DataOps engineer
Our DataOps specialists optimize data operation pipelines across various platforms, to ensure seamless data flow processes and maximize operational efficiency.
Why Organisations Trust Dotsquares to Govern Their Most Critical Data
With a team of over 1,000+ experts combined with their exclusive experience, we offer comprehensive data analytics engineering services to help businesses make informed, data-driven decisions.
Transform your enterprise data into actionable insights with Dotsquares, your trusted partner in data engineering.
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What You Get When You Partner with Dotsquares on Data Governance
ISO 27001 Certified Security
We maintain the highest international standards for data protection with ISO 27001:2022 certification, ensuring your intellectual property and sensitive information remain 100% secure.
1000+ In-House Developers
Our team of 1,000+ in-house experts is recruited through a rigorous screening process, selecting only the top technical talent to ensure premium quality for every project.
24+ Years of Proven Excellence
With over 27,000+ successful projects delivered since 2002, we bring deep industry experience and a stable, reliable foundation to every partnership we build.
Trusted Global Technology Partners
We are proud Microsoft Gold, AWS, and Salesforce Consulting partners, ensuring your solutions are built using the latest enterprise-grade technologies.
What we have done
Explore some of our development projects demonstrating our expertise in harnessing development to create robust and scalable solutions.
Data Engineering Solution
Ivy Enterprise
Challenges
Managing diverse sales data sources efficiently and selecting the right analytics tools were key challenges.
Solution
To address these challenges, we automated data collection with Power BI, implemented effective data visualization, and used Azure Functions for real-time data extraction. Microsoft Azure Power BI provided robust analytics, enhancing decision-making across the client's restaurant enterprises.
- TECHNOLOGY Azure
- Region UK
Tailored Technologies to Conquer Your Development Challenges
Harness the power of our advanced technologies to elevate user interaction and drive engagement.
The Advantages of Working with Dotsquares for Data Storage
We don't just build websites - we craft solutions that transform your business. Here's what sets us apart:
Clear Communication
We believe in total transparency. You'll get regular updates on your project's progress, and your feedback is always welcome. Plus, you'll always own all the code and creative elements we create for you.
On-Time Delivery
We use cutting-edge project management tools and agile development practices to keep your project on track. This means you'll get a high-qualitdeliveryed exactly when you expect it.
Solutions Built for Your Needs
Whether you need a custom-built or strategic optimisation of an existing one, we prioritise your unique goals. We'll ensure your development perfectly aligns with your digital strategy.
Direct Collaboration
Consider our team an extension of yours! You'll have direct access to the talented developers and designers working on your project during agreed-upon hours, ensuring smooth collaboration.
Elevated User Experience
Our creative and skilled UI/UX designers and developers leverage the latest technologies to deliver user-friendly, scalable, and secure development that drive results and meet your evolving business needs.
Flexible Engagement Models
We understand that your needs can change. That's why we offer flexible engagement options. Choose the model that works best for you now, and switch seamlessly if your needs evolve. We're committed to building a long-term, reliable partnership with you.
Flexible Engagement Models for Every Data Storage Project
At Dotsquares, we provide flexible options for accessing our developers' time, allowing you to choose the duration and frequency of their availability based on your specific requirements.
Bucket hoursWhen you buy bucket hours, you purchase a set number of hours upfront.
- Your purchased bucket hours remain valid for 6 months, during this time frame, you can utilize our services until your hours are exhausted or until the 6-month period expires.
- For example, if you invest in 40 bucket hours and use 10 hours within the first month, you will have a remaining 30 hours to utilize over the next 5 months.
- In this case, the developer will work for other projects simultaneously as you have opted for bucket hours and not dedicated hiring.
It's a convenient and efficient way to manage your developer needs on your schedule.
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Dedicated/Regular HiringIn dedicated hiring, the number of hours are not fixed like the bucket hours but instead, you are reserving the developer exclusively for your project.
- The developer will work only on your project for a set amount of time.
- You can choose to hire the developer for a week or a month, depending on what your project needs.
- This means our developer will focus exclusively on meeting the needs of your project, without any distractions from other commitments.
Whether you need help for a short time or a longer period, our dedicated hiring option ensures your project gets the attention it deserves.
Explore moreBuilt Relationships with 15,000+ Happy Clients!
Companies employ software developers from us because we have a proven track record of delivering high-quality projects on time.
5+ Years of Average Experience
Integrity & Transparency
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Outcome-Focused Approach
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Focus on Security
4.8/5 Rating on Clutch
Hire a Team of Your Choice
Costs Lower Than Your Local Guy
Leading Technology Partners and Achievements
With a history of excellence and innovation, we've been honored with several significant awards and partnered with leading technologies.
Our Data Governance Process — From Assessment to Sustained Compliance
Every data governance engagement follows a structured, six-stage process that moves you from initial assessment through framework design, implementation, and into a sustained governance operating model with measurable outcomes at every stage.
Data Governance Maturity Assessment
Before recommending a single governance control, we understand where you are today. Our maturity assessment covers your current data landscape, governance practices, quality issues, compliance posture, and organisational readiness producing a clear, honest baseline from which to build.
We catalogue your existing data sources, systems, pipelines, and critical data assets mapping what data exists, where it lives, how it flows, and who currently owns it.
We assess current policies, stewardship structures, data quality practices, and compliance controls against industry best practices and your specific regulatory requirements identifying the highest-priority gaps.
We evaluate your current exposure to regulatory risk identifying data handling practices that could result in GDPR, HIPAA, or other compliance violations and prioritise remediation accordingly.
We score your governance maturity across each pillar, present findings to your data leadership, and agree on the target maturity state and high-level roadmap that will guide the programme.
Data Governance Strategy & Framework Design
With a clear baseline established, we design the governance framework tailored to your organisation's size, structure, regulatory environment, and strategic data objectives creating the policies, roles, and operating model that will govern your data estate.
We define the governance council structure, data ownership hierarchy, stewardship roles, and decision-making processes establishing clear accountability for every critical data domain.
We author the foundational policy set data quality standards, classification policies, retention schedules, access control rules, and breach response procedures — in formats usable by both technical and business stakeholders.
We develop a business-aligned data glossary and taxonomy that creates a shared language between data teams and business users eliminating the definitional ambiguity that undermines data trust.
The governance framework is reviewed with your executive sponsors, data owners, and compliance team before implementation begins ensuring alignment between governance design and business reality.
Platform Implementation & Data Cataloguing
We implement the governance platform and tooling required to operationalise your framework connecting your data sources, populating the catalogue, configuring access controls, and enabling the stewardship workflows your team will operate.
We deploy and configure your chosen governance platform Microsoft Purview, AWS Lake Formation, GCP Dataplex, Collibra, or Alation connecting it to your data sources and configuring metadata ingestion pipelines.
We systematically catalogue your critical data assets, enrich them with business metadata and lineage information, and apply data classification labels that drive access control and compliance policy enforcement.
We configure the governance workflows your data stewards will use for quality exception management, policy change requests, access approval processes, and data issue resolution embedding governance into daily operations.
We integrate the governance platform with your identity management system Azure AD, AWS IAM, or equivalent to enforce role-based access controls consistently across all governed data assets.
Data Quality Programme Implementation
A governance framework without data quality enforcement is incomplete. We build and operationalise the data quality programme that monitors, measures, and improves the accuracy, completeness, and consistency of your critical data assets.
We run automated profiling across your critical data assets — measuring completeness, uniqueness, validity, consistency, and timeliness scores establishing the quality baseline from which improvement will be tracked.
Working with your data owners and business stakeholders, we define the quality rules, acceptable thresholds, and measurement frequency for each critical data attribute aligning quality standards with actual business requirements.
We configure data quality monitoring dashboards and automated alerting so your data stewards and governance team are notified immediately when quality scores fall below defined thresholds, enabling rapid remediation before downstream impact.
We implement structured remediation workflows that capture quality issues, assign ownership, track resolution progress, and feed root cause findings back into governance policy closing the quality improvement loop.
Compliance Validation & Governance Rollout
Before declaring the governance programme live, we validate that compliance controls are functioning correctly, stewards are equipped to operate the framework, and the organisation is ready to sustain governance practices independently.
We systematically test each compliance control access restrictions, retention policy enforcement, consent management, data deletion workflows against the regulatory requirements they are designed to satisfy.
We conduct a governance audit, verifying that policies are documented, roles are assigned, the data catalogue is populated, and all required artefacts are in place to support regulatory inspection.
We deliver role-specific training for data owners, stewards, analysts, and executives, ensuring every stakeholder understands their governance responsibilities and is confident operating the platform and workflows.
We manage the programme go-live; coordinating communications to the wider organisation, activating governance workflows, and confirming that the operating model is functioning as designed from day one.
Ongoing Stewardship & Governance Evolution
Governance is not a project with an end date, it is an ongoing operating capability that must evolve as your data environment, regulatory landscape, and business requirements change. We provide the ongoing support to keep your programme effective long after the initial implementation.
We monitor your governance controls, data quality scores, access policy compliance, and regulatory change landscape continuously surfacing issues before they become violations or audit findings.
We conduct regular programme reviews with your governance council;assessing maturity progression against the roadmap, reprioritising initiatives as business priorities shift, and identifying new data domains requiring governance coverage.
When GDPR guidance is updated, new data categories are introduced, or internal policies need revising, we update your governance documentation, platform configurations, and training materials to keep everything current.
As your data estate grows, new cloud platforms, new analytics workloads, new data sources we extend the governance framework and platform to cover new domains, maintaining consistent governance standards across your full data environment.
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Common Questions About Our Data Governance Solutions & Services
Our data governance solutions cover the full governance lifecycle — maturity assessment, framework and policy design, data cataloguing and lineage, data quality management, master data governance, regulatory compliance programme design, and platform implementation. Every engagement is scoped to your organisation's specific needs, regulatory environment, and data maturity level rather than delivered as a generic template.
We stay current with all major data protection regulations — GDPR, HIPAA, CCPA, SOX, PCI-DSS, and ISO 27001 — and design compliance controls that are specific to the regulations applicable to your industry and geography. Our governance frameworks map your data assets to relevant obligations, implement automated policy enforcement, and produce the audit-ready documentation regulators expect to see.
A data governance framework is the structured set of policies, roles, processes, and technology controls that define how an organisation manages its data assets throughout their lifecycle. Organisations need them because unmanaged data creates regulatory exposure, erodes analytics trust, increases operational costs, and prevents effective AI adoption. A well-designed framework turns data from a liability into a governed, strategic asset.
Yes — every governance framework we design is industry-specific. We factor in the regulatory requirements, data sensitivity levels, typical data asset categories, and operational constraints specific to your sector. A governance programme for a healthcare provider looks very different from one for a financial services firm or a retail organisation — and we design accordingly.
When data is governed — meaning it has documented ownership, measured quality, traceable lineage, and enforced access controls — decision-makers can trust the data they see in dashboards and reports. They spend less time questioning data accuracy and more time acting on insights. Governance is the foundation that makes data-driven decision-making actually reliable rather than aspirational.
A focused initial governance implementation — covering framework design, platform setup, data cataloguing for priority domains, and core policy documentation — typically takes 8–14 weeks. Enterprise-wide programmes covering multiple cloud platforms, complex regulatory requirements, and large data estate cataloguing can take 4–9 months. We provide a detailed milestone plan after our initial maturity assessment.
