Shiva Data Governance

Trusted Data. Smarter Decisions. Stronger Compliance.

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What Is Data Governance?

Data governance is the discipline of managing the quality, security, and availability of enterprise data. Shiva's data governance platform helps organizations ensure that data is reliable, secure, and governed across its lifecycle—from collection and storage to processing and usage.

Acting as the central control tower for enterprise data, Shiva ensures that verified, high-quality data flows securely to authorized users, supporting analytics, AI, and business intelligence with confidence.

Why Data Governance Matters Now

With the rise of AI, big data, IoT, and digital transformation, the volume and complexity of data are increasing dramatically. Shiva's data governance solutions are built to:

  • Maintain data integrity and accessibility
  • Ensure compliance with evolving regulations
  • Eliminate data silos and inconsistencies
  • Enable secure, responsible AI initiatives

Without a structured governance model, data-driven decisions risk being inaccurate, insecure, or non-compliant.

Shiva Data Governance Framework

Our customizable framework provides the policies, roles, standards, and technologies to govern your most critical data assets.

Key Components:

  • Program goals, roles, and responsibilities
  • Data standards, formats, and processes
  • Auditing and compliance procedures
  • Governance tools and automation
  • Scalable for hybrid, cloud, and multicloud environments

Defined Roles:

Steering Committee

(executives): Define strategy and KPIs

Data Owners

Maintain quality and approve data usage

Data Stewards

Manage day-to-day data operations

Stakeholders

Use and depend on governed data for insights

Data Standards, Policies & Processes

Shiva helps define and enforce:

  • Data formats, naming conventions, and metadata management
  • Data collection, transformation, retention, and archival policies
  • Master Data Management (MDM) and Data Quality rules
  • Scoped access to sensitive datasets via RBAC (role-based access control)

Our platform supports structured, unstructured, and streaming data across sources.

Auditing & Compliance

Shiva enables transparent governance with:

  • Automated audit logs and lineage tracking
  • Role-based permissions and activity reports
  • Compliance monitoring for regulations like GDPR, HIPAA, PCI DSS
  • Data integrity checks across systems

Regular audits help identify gaps, reduce risk, and evolve governance practices.

Data Governance Tools & Capabilities

Shiva offers a robust, AI-powered data governance toolkit:

Automated Discovery

Data discovery & classification

Metadata Management

Tagging & business glossary support

Policy Enforcement

Access control & rule automation

Data Lineage

Visualization & impact analysis

Integration with data catalogs, ETL/ELT tools, and data lakes.

Benefits of Strong Data Governance

Get More Value from Data

Ensure data accuracy, completeness, and trustworthiness for confident decision-making.

Promote Innovation & Efficiency

Provide access to the right data, at the right time, to the right users—empowering teams to move faster with fewer dependencies.

Establish a Single Source of Truth

Centralize metadata and definitions to unify cross-team understanding and enable self-service analytics.

Enhance Security, Privacy & Compliance

Protect sensitive data, mitigate risks, and ensure regulatory alignment through strict access control and encryption.

Fuel AI & ML Initiatives Responsibly

Feed high-quality, governed data into AI systems while protecting against bias, misuse, and compliance issues.

Improve Data Analytics Accuracy

Better governance = better datasets = better insights. From simple dashboards to complex ML models, quality data delivers sharper results.

Challenges in Data Governance

Lack of Sponsorship

Without CDOs and data stewards actively enforcing governance, adoption may falter.

Inconsistent Architecture

Disconnected systems and formats complicate integration and rule enforcement.

Limited Data Visibility

Shadow IT and siloed systems make it hard to track usage and ensure compliance.

High Demand for Access

Balancing accessibility with security becomes more complex with growing users and tools.

AI Complexity

Feeding AI models with unmanaged data can lead to breaches, liability, and reputational risk.

Shiva's Best Practices for Data Governance

Automate for Scale

Use automation to manage data classification, metadata tagging, and policy enforcement.

Balance Access with Security

Provide frictionless access to authorized users while blocking unauthorized attempts.

Build a Data Catalog

Create a centralized inventory to improve visibility, accessibility, and governance.

Use Maturity Models

Assess and track governance progress with defined roadmaps and metrics.

Continuously Monitor & Improve

Governance is never "done." Shiva enables dynamic reviews, updates, and stakeholder feedback loops.

Use Cases by Industry

Banking & Finance

Prevent fraud, enforce KYC/AML, manage risk, and maintain compliance

Healthcare

Protect PHI, comply with HIPAA, ensure accurate medical records

Retail

Drive personalization while securing PII and adhering to data privacy laws

Manufacturing

Monitor supply chains, ensure product quality data accuracy

Public Sector

Increase transparency, safeguard citizen data, ensure regulatory compliance