Data Risk Management – Safeguarding data to minimize risk and enable trusted decision-making 

Reliable data integration

Compliance metrics monitoring and risk mitigation for a leading retail giant: Compliance metrics from multiple internal tools were assessed to deliver real-time, consolidated insights. This enabled swift decision-making, improved operational efficiency and strengthened risk mitigation through enhanced visibility into performance metrics.

Risk insights for informed decision-making

Data quality dashboard assessment and enhancement for a global pharmaceutical and biotechnology company: A global pharmaceutical company improved data quality by assessing issue response, mechanisms and standardizing formats across sites. KPIs were introduced to manage data gaps, enabling consistent, informed decisions and continuous monitoring.

Risk insights for informed decision-making

GenAI-powered Service Organization Controls Reporting (SOCR) to control mapping for a leading alco-bev company: GenAI was used to streamline control mapping across SOC reports for a leading alco-bev company. Automation reduced human error, supported scalability across frameworks, and delivered customizable, audit-ready reports.

Intelligent process optimization for risk management

Performance issue reporting and enhancement recommendations for the new demand assessment tool of a leading alco-bev company: A new demand assessment tool for an alco-bev company was optimized through role-based access, improved report formats and enhanced database practises. Automated email scheduling and direct report delivery streamlined collaboration and improved service delivery.

Data risk governance

Internal audit and enhancement of data governance framework for a global energy sector client using CMMI’s DMM model: A global energy client underwent an audit based on Capability Maturity Model Integration (CMMI) Data Management Maturity (DMM) to assess and enhance its data governance framework. Maturity gaps were identified and recommendations were made for KPI design, platform alignment and accountability structures, layering the foundation for compliant, data-driven transformation.

Data migration integrity

Data migration integrity for a global pharmaceutical major: Data migration efforts led to an 86%-plus reduction in incidents and over 60% faster reporting. Reusable migration models and dashboards improved data visibility, integrity and compliance readiness, supporting strategic decision-making.

Key offerings 

We employ a comprehensive set of established methodologies and advanced tools for comprehensive and effective management and monitoring of data risk across the full data lifecycle.

• Reliable data integration: We help organizations build strong data integration practices for accuracy and reliability. This reduces uncertainty and supports proactive risk identification and mitigation.

• Risk insights for informed decision-making: Our services transform complex data into clear, actionable risk insights. This empowers leadership to take decisions that address risks effectively and drive sustainable growth. 

• Risk-focused decision support: We provide advance decision-support frameworks that uncover risk patterns and predict potential outcomes. This enables confident, risk-aware decision-making.

• Intelligent process streamlining for risk management: We streamline processes to detect and respond to risk signals quickly. By streamlining workflows, organizations can act faster and reduce exposure to emerging threats.

• Data risk governance: We design governance frameworks that enable accountability and trusted information for decision-making. This safeguards against related risks and strengthens compliance.

• Data migration integrity: Our structured approach to data migration lowers the risk of loss, corruption or compliance breaches through secure, accurate and consistent data transfer during transitions.

Why EY for Data Risk Management?

• Global expertise: The global team of professionals at EY combines deep industry knowledge with experience in complex data risk projects, delivering tailored solutions for diverse sectors.

• Key benefits of Data Risk Management by EY: Our approach connects risk activities across functions, turning data into actionable intelligence for informed decisions. EY brings a comprehensive suite of capabilities in Data, AI and automation to digitize governance, risk and compliance across the ‘three lines of defence’. By integrating these, we help organizations build a connected, automated and intelligent risk ecosystem – reducing manual effort, improving compliance, and enabling faster, data-driven decisions.

Proven methodologies and tools: Why continuous risk monitoring is critical in Data Risk Management Continuous monitoring is essential to manage data-related risks effectively. Data Risk Management services by EY can help clients in:

• Enabling data accuracy and trust: Automate validation and reconciliation to maintain reliable data, with audit trails for transparency and confidence.

• Strengthening data classification and source reliability: Apply consistent classification and vet sources to reduce compliance risks and improve governance.

• Reducing manual errors and increasing efficiency: Standardize processes and automate repetitive tasks to reduce human error and improve accountability.

• Securing data migration and minimizing integrity risks: Implement structured migration protocols to prevent data loss, unauthorized changes and integrity issues.

• Enabling risk insights and proactive decisions: Leverage predictive analytics to anticipate risks and opportunities using historical trends.

• Establishing robust data governance: Define clear roles, enforce retention policies and maintain compliance to reduce data sprawl.

• Deliver actionable risk intelligence: Identify and prioritize data-related risks to align mitigation efforts with enterprise objectives.

• Integrate data across systems reliably: Enable seamless, secure integration for unified reporting and operational agility.

• Support risk-aware decision-making: Embed risk intelligence into workflows for smarter decisions aligned with business and regulatory expectations.