Data Governance Services for Trusted Enterprise Data
Enhance confidence in enterprise data with our services that use strong data governance frameworks for data compliance, accuracy, and access.
Develop a solid enterprise data foundation with governance services that ensure better data quality, security, compliance, and organizational trust.
Organizations face severe financial, operational, and regulatory hurdles and risks. Conflicting data definitions and high data storage costs compound the problem. At SHALIGRAM, we assist organizations in establishing policies and ownership, data standards and controls, across enterprise data resources. We enable teams to discover reliable data, minimize risk, and comply with regulations through metadata management, privacy, and access controls.Â
Deloitte’s survey reveals a readiness gap in organizations where even though 74% of organizations plan to adopt agentic AI, only 21% currently have a mature governance model for it. We help solve the challenges and expedite data governance for enterprises. Â
Solving complex data challenges with next-gen data governance solutions
Poor data quality
We enhance the quality of inaccurate, incomplete, outdated, and inconsistent data in enterprise systems.
Inconsistent reporting
Our experts set common reporting definitions, metrics, and formats to enable uniform business insights.
Lack of data ownership
We set up clear and consistent data accountability and governance roles across the organization.
Compliance risks
We reduce risks by fully automating data discovery and enforcing role-based policies while maintaining transparent audit trails.
Data silos
We connect fragmented data sources so data remains accessible across the enterprise.
Security and privacy concerns
Our team improves data security and privacy by implementing access controls and policies.
Duplicate records
We help find and reduce duplicate records to ensure that master data is accurate.
Limited data visibility
We enhance data visibility with a centralized catalog, metadata, lineage, and discovery through our governance services.
Untrusted business decisions
We empower organizations to make informed decisions using trusted, reliable, accessible, and governed information, enabled by our governance capabilities.
Data governance services that deliver value
Data governance consulting
Our consulting services are based on turning data into a trusted corporate asset. We establish policies, accountability frameworks, evaluate data landscapes, undertake maturity assessments, while confirming that governance strategies align with enterprise architecture.
Data governance framework design
We create scalable governance constructs to establish policies, standards, roles, decision authority, controls, and processes across data domains. Additionally, our experts ensure consistent policies, practices, and procedures for data ownership, stewardship, quality, security, and regulatory compliance across complex enterprise environments.
Data quality management
We implement data quality policies and validation methods, profile and monitor critical business data and related downstream applications such as analytics, reporting, and machine learning to enhance accuracy, completeness, consistency, timeliness, and uniqueness of essential business data inputs.
Metadata management
Our experts ensure that teams get efficient, governed data across enterprise platforms, applications, warehouses, and lakehouses. We do so by enhancing data discovery and traceability, and by creating business glossaries, technical metadata, data catalogs, and tracking data lineage and metadata repositories.
Master data governance
We ensure data is managed with consistent rules, hierarchies, and MDM controls so that data related to customers, products, suppliers, and employees remains defined and matched. We ensure minimized data duplication and enhance consistency across business systems and channels.
Data stewardship programs
Our data governance services are built to ensure that domain stewards validate data quality, remediate data problems, and implement governance standards. We enforce domain stewardship programs with roles and responsibilities, processes, escalation, and stewardship KPIs to realize this.
Data privacy and compliance governance
Safeguard sensitive data with privacy policies, access control, classification, retention policies, consent management, and compliance monitoring. Implement and maintain GDPR, CCPA, and other regulatory or policy compliance and enterprise risk governance throughout the organization.
Data governance modernization
We help you transform your legacy governance processes and architecture with cloud-native platforms and automated workflows. We modernize enterprise data estates through AI-driven data discovery, policy enforcement, and lakehouse architectures. This ensures flexible governance that scales with evolving enterprise data ecosystems and digital transformation needs.
Our numbers reflect our commitment
Building governance across the data lifecycle
Data quality
We deploy automated profiling and validation tools to turn messy data into a secure, accurate, and useful asset by writing clear rules for data use.
Data ownership
We establish formal accountability by assigning specific data owners and stewards as data owners for distinct corporate data domains.
Metadata management
We utilize data catalogs to index metadata, create standard, organization-wide definitions for key terms, and deploy and configure tools to automatically scan databases and crawl cloud lakes.
Master data management
We define control rules for critical entities and establish uniform naming conventions, data definitions, taxonomies, and formatting rules.
Data privacy
Our team builds the groundwork through enforcing strict data classification schemes needed to comply with data privacy mandates and tags enterprise data repositories to locate sensitive personal data.
Regulatory compliance
We designate owners for sensitive personal data through our services that enforce privacy rules and implement frameworks to ensure GDPR, CCPA, or DPDP compliance.
Data lineage
We enable automated discovery and mapping using tools to inspect code repositories, ETL scripts, and database queries.
Data policies
We define formal rules, accountability, and standards for how data assets are handled across the entire lifecycle, using automated alerts to monitor and flag policy violations.
Driving data-governance outcomes through excellence
Trusted data
Access reliable, accurate, and consistent data across enterprise systems.
Higher data quality
We ensure data accuracy, reliability, precision, and consistency across enterprise teams.
Improved compliance
Improve regulatory compliance by establishing policies, controls, monitoring, and accountability.
Better decision-making
Support faster, smarter decisions with reliable and governed business data.
Reduced business risk
Minimize operational, regulatory, security, and data-related business risks.
Stronger data security
Protect sensitive information through controlled access and governance practices.
Consistent reporting
Standardize metrics and definitions for accurate, consistent business reporting.
Faster analytics adoption
Enable faster analytics adoption through accessible, trusted, and governed data.
Greater business confidence
Build confidence through transparent, reliable, secure, and actionable enterprise data.
Data governance across modern data ecosystems
Data engineering
Our data engineering capabilities include moving data across enterprise platforms, applications, and downstream analytical environments. We implement this through a combination of data pipelines and frameworks for data ingestion and orchestration processes.
Our data governance implementation process
Governance assessment
We assess governance maturity, data domains, gaps in data quality, compliance mandates, and then prioritize current controls.
Data policy definition
Establish data policies, data standards, data classification rules, retention policies, access controls, and compliance guidelines.
Ownership assignment
Delegate data owners and stewards in key data areas; define accountability for quality, security, and accuracy.
Governance framework design
Establish governance frameworks, decision authority, processes, escalation, stewardship models, and metrics for implementation.
Technology implementation
We select, deploy, and integrate the right software tools to automate and enforce data policies.
Monitoring and optimization
Post-deployment, our team monitors governance and data quality KPIs, checks compliance controls, and takes stakeholder feedback to improve overall performance.
Helping industries thrive with tailored data governance solutions
Manufacturing
Manufacturing firms gather information from production lines, industrial Internet of Things (IoT) sensors, manufacturing execution systems (MES), quality control systems, and supply chains. Data governance defines data ownership, lineage, and controls for machine, process, and supplier data. This creates a reliable base for connected factory projects and for factory operational intelligence.
Governed datasets are the starting point for overall equipment effectiveness, predictive maintenance, defect tracking, inventory planning, and production reporting. Metadata management ensures consistency of data throughout ERP, MES, SCADA, and analytics.
Stronger data flows and accountability make it easier for manufacturers to improve traceability, RCA, document compliance, and monitor performance.
Healthcare
Healthcare organizations have data spread across EHRs, medical devices, labs, and health information exchanges. We enable them to set stewardship, map data, quality standards, and safeguards for sensitive health-related data
Our data governance capabilities allow us to realize evidence-based decision-making, care coordination, and clinical research for healthcare organizations. We enable governed interoperability between Providers, payers, and Medtech companies with our solutions.
We help healthcare organizations to effectively manage protected health information, ensure data integrity, adhere to regulatory requirements, and provide accurate analytics for resource planning, clinical outcomes, and services enhancement.
Fintech
Fintech firms process high-volume information such as transactions, customers, payments, digital platforms, and APIs. With our data governance consulting services, we set access and privacy controls, providing reliable data for financial services and digital products.
Secure transaction data helps prevent fraud, improve credit scoring, support risk management, personalization, and automated decision-making. Governance ensures uniformity in information throughout payment gateways, digital wallets, bank APIs, and cloud platforms.
We implement and maintain clear definitions and validation rules to enhance the integrity of the transactions, assist with KYC, AML, auditability, and regulatory reporting. This enables fintech companies to innovate while adapting to the constantly changing nature of data ecosystems and compliance requirements
Logistics
Logistics companies produce information from shipments, fleets, warehouses, routes, carriers, telematics, GPS, and transportation systems. Our data governance services provide consistency and accountability, delivering reliable data to assist in network planning and service delivery.
We make this possible through consistent logistics data, which allows for products to be tracked in real-time, provides ETA forecasts, data on fleet utilization, warehouse planning, and inventory coordination. We also enhance interoperability between TMS, WMS, telematics, and partner platforms.
We eliminate discrepancies and enhance reporting, fuel planning, delivery performance, and supply chain visibility. Our governance services enable improvement in the adaptability of logistics networks to disruptive events and increase efficiency throughout transportation and distribution chains
BFSI
Core banking, customer information, CRM, risk, lending, treasury, and reporting systems process and manage information about customers, accounts, transactions, credit, markets, and regulations for banks and financial institutions. Data governance places ownership, classification, access controls, and quality controls on financial data to ensure that it is trusted.
Accurate data enables credit assessment, liquidity analysis, fraud detection, customer segmentation, regulatory reporting, and financial performance management. Standardized definitions minimise inconsistencies in business and risk functions.
Strong governance strengthens Basel reporting, stress testing, AML monitoring, model risk management, audit readiness, and analytics. Financial institutions can exceed regulatory requirements and achieve better integrity and traceability, while making quicker, more confident decisions in financial environments.
Real Estate
Real estate organizations handle property, tenant data, leases, valuations, transactions, facilities, and real estate market data across property management, CRM, GIS, and finance platforms. Data governance provides data ownership, data lineage, and access control for data in portfolios.
Property data is essential for the effective management of leases, occupancy analysis, asset valuation, facilities management, investment reporting, and portfolio performance monitoring. Governance links financial, tenant, operational, and geospatial data between systems.
Quality controls minimize inconsistencies and aid due diligence, forecasting, ESG reporting, and asset management. Real estate teams have dependable, traceable data to assess opportunities, track assets, and make informed investment decisions on commercial property portfolios.
Retail
Retailers handle product, customer, supplier, inventory, and price information from store to store, marketplace, website, mobile app, and enterprise systems. Data governance provides shared ownership and access control for this interrelated ecosystem.
Product information management, customer segmentation, basket analysis, pricing optimization, demand planning, and inventory visibility are all benefits of trusted retail data. It also helps to coordinate the merchandising, marketing, sales, and supply chain functions.
Governance enhances customer profile, product master data, supplier information, transaction accuracy, and consent management and personalization. With reliable information, you can make better promotion analytics, omnichannel experiences, operational dashboards, and decisions all along the retail lifecycle.
Food and Beverages
Food and beverage manufacturers handle data related to ingredients, recipes, batch production, lab testing, packaging, etc. Data governance provides an enhanced level of data traceability, food safety, supplier management, and demand planning through establishing data quality controls.
Product and batch records can be used to aid allergen management, recipe control, supplier quality, production scheduling, recalls, and shelf life monitoring. Governance links ERP, MES, laboratory, warehouse and supply chain information.
Across manufacturing and distribution, there is a significant benefit in having consistent data, which can help optimize inventory, ensure quality, assist with HACCP processes and reporting. Reliable information can assist an organisation to address quality issues, manage its compliance and coordinate its product across food networks and retail outlets.
Oil and Gas
Oil and gas companies manage well, drilling, production, pipeline, refinery, and asset data across operational technology and platforms. Data governance sets up stewards, categorization, lineage, quality requirements, and access control of data across the energy enterprise.
Governed energy data supports drilling analytics, reservoir modeling, predictive maintenance, pipeline monitoring, refinery optimization, and production forecasting, and compliance accurately and securely.
Standardized metadata and quality rules improve production accounting, HSE reporting, compliance with regulations, seismic interpretation, and operational analysis. Traceable information assists energy companies in making better decisions, planning, and improving asset reliability in upstream, midstream, and downstream business operations.
Why enterprises choose SHALIGRAM for data governance services
Trusted Data Governance Partnership
At SHALIGRAM, we link data governance directly to business outcomes like revenue growth. We deploy consistent frameworks across global offices to help our clients scale across geographies and make high-stakes strategic decisions. Our deep regulatory and compliance expertise, along with technology-agnostic integration capabilities, makes us the partner of choice for organizations.Â
- Deep multi-cloud & hybrid integration expertise
- AI-native & responsible governance capabilities
- GDPR, HIPAA, and CCPA audit-ready workflows.
- Modern frameworks for faster time to value.
Is data chaos quietly costing your business more than you realize?
Build a stronger data foundation and fast-track your data from scattered to governed, with our data governance services.
FAQs
Trusted by businesses around the world for their digital transformation journey.
Data governance services focus on creating policies, standards, and controls to govern enterprise data effectively.