The use of salt in grand constructions stretches far beyond its use in the sticky rice mortar of the Great Wall of China. Salt has long served as an unconventional architectural material. Ancient observers, such as Pliny the Elder, remarked on salt edifices in the lost city of Gerrha in present-day Yemen or Saudi Arabia, where entire towers rose from blocks of salt. In medieval West Africa, settlements like Taghaza featured mosques, dwellings, walls, and communal buildings fashioned from salt slabs, all roofed with camel hides and assembled near salt pans in what might be called salt-architecture. These structures reflected the communities’ adaptation to scarcity of wood or stone, turning an essential preservative, namely salt, into a building block.

But what does salt have to do with the challenges Chief Data Officers (CDOs) face today? The answer lies in the metaphorical principles salt structures reveal, which align closely with the realities of enterprise data management. CDOs are tasked with ensuring data integrity, accessibility, security, and adaptability in a fast-changing digital landscape. These four principles – preservation, permeability, portability, and protection – provide a practical framework for navigating modern governance challenges.

Historical anecdotes are intriguing, but the real value lies in how they translate to real-world data management issues. For example, how can a CDO preserve data quality in the face of rapid scaling for AI initiatives? Or how can governance frameworks be designed to provide controlled access across cross-functional teams without introducing risk?

Drawing lessons from salt’s structural use offers CDOs practical strategies for addressing these governance challenges. 

Preservation: Maintaining Data Integrity 

In antiquity, salt’s preservative qualities extended beyond food and goods into construction. Similarly, a CDO’s first mission is ensuring data preservation by maintaining data integrity, accessibility, and reliability over time. Just as salt structures must preserve their form against dissolution, data must be protected from corruption, loss, unauthorized alteration, and the gradual erosion of quality over time.

A practical way for CDOs to strengthen preservation is to build tiered protection models that assign safeguards according to data value and volatility. This starts with identifying which datasets are mission-critical and which ones carry long‑term analytical importance, then placing them in storage environments that match their sensitivity and usage patterns. Once that foundation is set, CDOs can require routine integrity checks, automate repair workflows before issues spread, and schedule validation routines confirming both technical health and business relevance.

Consider a financial services company managing decades of customer transaction data. Without robust backup systems and automated validation routines, this critical data could degrade or be lost. Implementing tiered preservation strategies that prioritize mission-critical datasets and automate integrity checks helps ensure long-term reliability.

Preservation becomes an ongoing practice when these controls operate quietly in the background while giving teams transparent insight into the condition of their data over time.

Permeability: Balancing Access and Security 

One of salt’s defining characteristics is its permeability. Data governance demands the right balance of permeability, not too rigid and not too lax. CDOs must ensure data is accessible for insights while safeguarding against breaches. Permeability, then, becomes about fluid access aligned with policy, not unfettered exposure.

One effective approach to improving permeability is to build access models that adjust to the maturity of teams using the data. This can begin with simple, well‑defined entry points that offer clean, low‑risk visibility, followed by structured opportunities to request deeper access as needs become clearer and responsibilities increase. Each step along that path should match the user’s role, purpose, and track record, which keeps access meaningful rather than indiscriminate.

For example, AI initiatives often require access to vast datasets spanning multiple departments. A CDO might implement role-based access controls that allow AI engineers to work with anonymized training data without exposing sensitive customer information. Treating permeability as a series of controlled access paths, rather than a single open door, helps ensure data moves to the right people for the right reasons while keeping misuse in check. 

Portability: Moving Data Without Losing Trust 

Just as salt was a portable commodity, modern enterprises rely on data portability. A CDO should ensure data can be transferred securely across platforms and systems, whether moving from on-premises to cloud environments, between business units, or across partners. Portable data enables interoperability, accelerates analytics, and supports mergers, divestitures, or new initiatives. Proper governance ensures that as data moves, its lineage, classification, context, and quality remain intact.

A strong way to advance portability is to create movement frameworks that standardize how data travels across systems, partners, and business units. CDOs can begin by defining a set of transfer processes that outline acceptable formats, handoff steps, and validation checks, making each transfer predictable rather than improvised. Once these patterns are in place, they can be paired with automated controls that verify lineage, ensure completeness, flag discrepancies, and confirm accuracy of key attributes before the data reaches its next destination.

For example, a retail company undergoing a cloud migration must ensure that customer purchase histories, inventory databases, and marketing analytics datasets move smoothly between systems without losing quality or lineage. Standardized movement frameworks, coupled with automated data validation tools, ensure that these transitions are seamless.

This steady structure helps organizations avoid the friction and rework that often follow uncontrolled data movement and builds confidence that what arrives downstream reflects the true state of what originated upstream.

Protection: Securing Enterprise Data 

Salt, while structurally useful, is also vulnerable and must be protected. Similarly, data demands robust protection. CDOs must defend against threats such as cyberattacks, leakage, and regulatory non-compliance. Policies and controls must protect sensitive data, yet avoid stifling utility. Guardrails such as access permissions, audit trails, encryption, and anonymization help secure data assets. Rather than guarding all data equally, the focus should be on protecting what matters most based on data classification.

Protection is strongest when every safeguard is treated as part of an evolving security ecosystem rather than a static checklist. This begins with mapping sensitive data to its points of exposure, then testing how well each safeguard performs under everyday conditions rather than relying solely on scheduled audits. When gaps appear, the CDO can work with security teams to refine permissions, tighten monitoring, or introduce rapid‑response workflows that correct risks before they escalate.

For instance, organizations implementing AI-driven decision-making systems must ensure that sensitive training data is encrypted and anonymized to prevent breaches. Regular penetration tests and real-time monitoring can identify vulnerabilities before they lead to incidents. Treating protection as an ongoing discipline allows organizations to keep data assets secure without slowing the teams that rely on them. 

Final Reflections

The principles of preservation, permeability, portability, and protection each highlight a crucial aspect of modern data governance, offering CDOs a roadmap to navigate today’s unique challenges. While metaphors like salt structures offer a compelling lens, the real focus lies in translating these ideas into actionable strategies that address pressing governance demands.

Together, these four principles remind CDOs that effective governance is not a collection of isolated controls but a coordinated strategy. Preservation ensures data remains trustworthy. Permeability enables responsible access. Portability supports reliable movement across the enterprise. Protection keeps data secure as risks evolve. 

The next step for CDOs is to embed these principles into their organization’s governance DNA. This means moving beyond static rulebooks and encouraging a culture where accountability, transparency, flexibility, and continuous learning are part of everyday practice. Aligning governance strategies with real-world challenges (like scaling data access, supporting AI initiatives, and building trust in automated decisions) helps CDOs position their organizations for success in a data-driven future.

The materials of the CDO’s craft may be digital, but the responsibility to build something enduring is very real. Applying these principles with intention enables CDOs to build governance strategies that support today’s operations while preparing their organizations for tomorrow’s challenges. 

Works Cited

•  “Palacio de Sal.” Wikipedia, Wikimedia Foundation, 8 June 2026, Accessed 13 June 2026.
• Breschi, Tommaso. “Salt in Architecture: Atelier LUMA’s Salt Panels and Other Innovations,” revalu.io, 14 Jan. 2025, Accessed 27 April 2026.
• “Gold Going North, Salt Going South.” SlowMorocco.com, 2026. Accessed 9 June 2026.
• O’Hara, Andrew. “Gold, Salt, and Survival: The Camel Supply Chains of the Sahara.” LinkedIn Publishing, 24 July 2025. Accessed 19 May 2026.
• “How Salt Built and Destroyed Civilizations: The Mineral That Was Once Worth Its Weight in Gold.” Malorie’s Adventures, 10 June 2026. Accessed 13 June 2026.