Enterprise Data Risk

A leading insurance broker recognized the need to strengthen its data protection posture amid growing regulatory requirements, expanding data usage, and increased reliance on analytics and AI. While the organization understood the importance of protecting sensitive data, risk ownership, governance processes, and enabling technologies were fragmented and inconsistently applied.

PremiumIQ partnered with the organization to design a comprehensive Data Protection and Governance Program that aligned regulatory compliance, business priorities, and long-term data strategy. The result was a clear, fundable roadmap that transformed data protection from a reactive control function into a strategic business capability.

The Challenges: Rising Risk, Fragmented Controls, Limited Clarity

The organization faced growing exposure driven by both regulatory pressure and business expansion. Key challenges included:

Limited visibility into enterprise data risks and inconsistent risk evaluation methods
Fragmented privacy, security, and governance practices across teams
Unclear ownership for sensitive data classification and protection
Difficulty evaluating and selecting appropriate data protection technologies
Lack of alignment between compliance requirements, business needs, and AI initiatives
No clear staffing model or execution plan to operationalize governance

Leadership needed a structured, value-driven approach that could reduce risk while enabling innovation.

The Solution: A Structured Data Protection and Governance Program

PremiumIQ delivered a multi-phase strategy and planning engagement designed to align people, process, and technology.

Key elements included:

Stakeholder interviews to capture contractual, legal, regulatory, and operational requirements
Quantified data risk scenarios supported by defined KRIs
A privacy and compliance matrix aligned to applicable regulations
Evaluation of industry-leading practices for AI-enabled data protection
An RFI-led technology assessment to evaluate tools and vendor fit
A tailored data protection strategy and phased implementation roadmap
Defined roles, staffing requirements, and operating model recommendations
A detailed cost-benefit analysis and funding justification for execution

The program provided leadership with both strategic clarity and practical execution guidance.

The Impact: Reduced Risk and Execution Readiness

The engagement established a foundation for consistent, defensible data protection across the enterprise.

Key outcomes included:

Clearly articulated and quantified data risks aligned to business impact
A unified framework for privacy, compliance, and data protection
A practical strategy for sensitive data classification and DLP capabilities
An AI strategy supporting both defensive risk management and growth use cases
Scalable architecture designed for long-term protection and governance
Defined roles, staffing plans, and a phased roadmap for implementation
A defensible business case enabling informed investment decisions and ROI tracking

Why It Matters

By establishing a structured governance and protection program, this insurance organization moved from reactive risk management to proactive control, enabling faster decisions, stronger compliance, and a foundation for AI-driven innovation.

Consultant Perspective

“Data protection programs fail when they are treated as compliance exercises instead of business capabilities. Our focus was on helping the client understand risk in business terms, align protection to real outcomes, and create a plan that leadership could actually fund and execute.”

— Conrad Wojtan, PremiumIQ Data Governance Lead