Elevating Information Governance: Powering AI with Trusted Data
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February 19 marks Global Information Governance Day — historically, the focus was primarily on compliance requirements and retention policies, but the conversation has now evolved beyond that.
In the age of AI, Information Governance is not just about managing risk. It is about creating a trusted, well-managed data foundation that fuels innovation. Strong IG is now the engine that powers reliable, responsible, and high-performing AI.
At Iron Mountain, we believe that navigating the age of data innovation requires resilience and a proactive approach. Here, our Information Governance Advisory Services team shares insights on how robust IG practices can transform your data from a liability into a strategic asset.
Why Information Governance is a Priority for Boards
The pressure to accelerate AI adoption has uncovered new governance challenges and previously unknown risks. Executive Leaders are increasingly focused on IG because it enables organisations to:
- Modernise and Automate: Moving away from manual processes to improve speed and accuracy.
- Navigate Complexity: Managing a global regulatory landscape that is becoming more fragmented and political.
- Drive Business Strategy: Shifting from "ticking boxes" to fueling growth and innovation.
The Strategic Pillars of Modern Information Governance
1. Data Quality: The Fuel for Trustworthy AI
Data quality directly determines the accuracy, reliability, and fairness of AI models.
- Poor-quality or biased data leads to discriminatory or unreliable AI outputs.
- By classifying data and defining governance rules, organisations prevent redundant, obsolete and trivial (ROT) data from polluting AI systems.
- Maximise ROI: High-quality data ensures consistent performance and reduces the operational risks of AI initiatives.
2. Regulatory Compliance and Retention
In an era of rapid technological change, effective compliance safeguards against severe financial and reputational damage.
- Retention Schedules: These are critical tools for defining how long records are kept and ensuring they are securely destroyed.
- Operational Efficiency: Proper retention prevents the accumulation of unnecessary data, facilitating faster access during audits or legal requests.
3. The "Health Check": Assessing Your Governance
Organisations should regularly assess their IG practices, especially when undergoing significant technological changes.
- Identify Gaps: A "health check" helps bridge the gap between current practices and a secure, compliant future state.
- Treat Data as an Asset: Regular assessments ensure data is managed as a valuable resource rather than an unmanaged liability.
6 Principles for a Robust IG Program
To build a foundation for success, every organisation should follow these core principles:
- Know your information: Understand what data you create and collect.
- Know where it is: Data is only useful if it can be located.
- Know its use: Understand the business purpose behind your data.
- Know how it's protected: Data protection is a pillar of any robust program.
- Keep it only as long as needed: Realign business needs with emerging laws.
- Dispose responsibly: Use disposition frameworks to remove data that no longer has value.
Want to modernise your data strategy? Keep pace with AI innovation by leveraging our Information Governance Advisory Services. Learn how our team provides the consulting and technology solutions necessary to discover, classify, and remediate your legacy data.
Authored by our team of experts:
Hana Laws, Information Governance Leader, Europe
Rebecca Boot, Information Management Consultant
Julia Bonder-Le Berre, Global Head of Privacy
Karen Alvey, Senior Consultant, Information Governance
Mohammed Qweider, Senior Consultant, Information Governance
Rachael Thompson, Senior Consultant, Information Governance