Data Governance Services for Trusted Enterprise Data

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 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 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 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

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 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.

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 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 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.

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. 

• 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.