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Monday, April 21, 2025

Kim Jamerson

How to Protect Data Ownership and Control in SaaS?

In today’s digital‑first business environment, data is the lifeblood of business operations. However, several key questions arise when you use software‑as‑a‑service (SaaS) platforms. Who really owns your data? And who controls it?

The answers to these questions have legal, ethical, and operational consequences, so it’s essential for businesses to make SaaS data ownership a key consideration in every software decision.

This post breaks down what SaaS data ownership means, why it matters, and how you can protect your organization.


Table of Contents

  1. What is Data Ownership?
  2. Legal Considerations with Data Ownership
  3. Ethical Considerations for Data Ownership
  4. Why is Institutional Data Ownership Critical with SaaS?
  5. How Do I Protect My Institutional Data Ownership?
  6. Data Ownership Protocols & Emerging Trends
  7. Make Data Ownership a Company Priority


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What is Data Ownership?

Data ownership is the legal right to control a set of data, including how the data is accessed, modified, shared, stored, and deleted. Two primary forms of data ownership are:

  • Personal Data Ownership: This applies to data identifying or relating to a person.
  • Institutional Data Ownership: This applies to data generated, collected, or processed by a business or organization.


Data Ownership Structure



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There’s a complex web of laws and regulations governing individual rights for personal data ownership, such as the General Data Protection Regulation (GDPR) in the EU, the California Consumer Protection Act (CCPA), the Health Insurance Portability and Accountability Act (HIPAA), which governs how medical data is stored and accessed, and the Gramm‑Leach‑Bliley Act (GLBA), which protects financial information.

Businesses must understand which legal requirements apply to the type of data they capture and that they have policies in place to ensure compliance.

Additionally, believe it or not, copyright laws can come into play. While raw data typically is not protected, databases and data compilations may be copyrighted if they meet “originality” requirements.


Navigating Legal Frameworks for Secure Data Ownership



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Ethical Considerations for Data Ownership

Data ownership is increasingly seen as a core issue in data ethics. Hot topics include:

  • Data monetization: Using data assets to generate revenue internally (e.g., to develop/improve products) or externally (e.g., selling data sets)
  • Data licensing: Granting third parties the right to use data for specific purposes for a specific time period
  • Use in AI: Both to train internal AI models or third‑party AI platforms

A recent publication from the World Economic Forum, Digital Trust: Supporting Individual Agency, highlights the increased need for transparency about if, how, and when data is used—“86% of consumers care about data privacy, signaling a significant shift in consumer sentiment and a burgeoning demand for enhanced protection and control over personal data.”

The whitepaper highlights the potential benefits and harms of collecting user data to underscore the importance of giving users and customers “individual agency” (a.k.a. ownership) over their data.



Potential Benefits Potential Harms
For Users
  • Improved services as companies refine offerings based on data
  • Personalized experiences that are tailored to their preferences and interests
  • Access to subscription‑free services that would otherwise be paywalled
  • Privacy and misuse from data collected without consent and shared/sold without the user’s knowledge
  • Data breaches due to inadequate security or internal negligence
  • Default settings that skew in favor of the provider’s interests
For Providers
  • Strategic decision‑making to guide product and service improvements
  • Predictive analytics to anticipate market trends, future sales and revenue, etc.
  • Personalized marketing tailored to user preferences
  • Security breaches that result in financial, reputational, and legal damages
  • Fines and sanctions for non‑compliance with data protection regulations
  • Market perception from misuse that erodes brand trust and loyalty


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Why is Institutional Data Ownership Critical with SaaS?

Institutional data ownership is a fundamental issue when your business uses SaaS solutions. Due to the cloud‑based delivery model, you’re giving SaaS providers access to your company’s data, and if the solution is built in a multi‑tenant environment, your data could potentially be exposed to other users if the vendor doesn’t have the proper safeguards in place.

Check out SaaS Security Unmasked for more information.

Beyond these security risks, clarifying SaaS data ownership is essential to avoiding vendor lock‑in, maintaining compliance with data protection regulations, and retaining the ability to migrate, delete, and fully control your data as needed.


Balancing Data Control and Security in SaaS



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How Do I Protect My Institutional Data Ownership?

In any workplace collaboration, data ownership is typically determined by terms outlined in legal documents. Start by thoroughly reviewing all of the SaaS provider’s legal documents, including service level agreements (SLAs), privacy policies, terms of service (TOS), and master service agreements (MSAs). Some SaaS vendors explicitly state that customers retain ownership of their data, while others claim ambiguous rights to use, analyze, or even commercialize that data.

Two important areas to clarify include understanding SaaS vendors’ approach to data portability and their data retention and deletion policies.

Data Portability

Data portability refers to the ability to move your data from one provider to another. Unfortunately, many SaaS platforms make this difficult by:

  • Locking data in proprietary formats
  • Offering limited export functionality
  • Charging high “exit fees” for data extraction

Protect your business by looking for providers that offer data in standard formats (e.g., CSV, JSON), provide APIs for easier migration, and clearly address data portability in their user agreements.

Also, ask providers for a walkthrough of the data export process before you sign the contract so you don’t find yourself trapped if you want to switch later.

Data Retention & Deletion Policies

Institutional data ownership also involves knowing how long your data is kept and what happens when you end the relationship. You want to ensure your SaaS provider doesn’t inadvertently erase the data you need to operate your business.

For example, some vendors automatically mark “inactive” records for deletion to minimize database size. Conversely, you also want the ability to permanently delete data your data as needed to comply with regulations like GDPR or if you terminate your relationship with the vendor.


Key questions you should ask include:

  • How long does the provider retain data after cancellation?
  • Can you request permanent deletion?
  • Is deleted data also removed from backups and logs?

Check out Data Privacy in the SaaS Era: Who Has Access to Your Information? for more information.


Navigating Data Ownership in SaaS



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A data ownership protocol is a set of rules or standards that governs:

  • Who owns the data
  • Who can access it
  • How it can be used
  • How it can be moved or deleted

Data ownership protocols can be formal (such as a legal contract) or technical (such as a software framework).

Where are SaaS Data Ownership Protocols Defined?

Most SaaS tools' data ownership protocols aren’t technical specs. Instead, they’re outlined in various legal documents, like SLAs, TOSs, or data processing agreements (DPAs).

These documents might say something like: “Customer retains all ownership rights to their data.” But not all vendors are that clear and may reserve rights to use your data for analytics, AI training, or other purposes unless you explicitly opt out.

For example, design software Figma sets its Starter and Professional accounts as opted‑in by default for AI model training, while accounts licensed through an Organization or Enterprise plan are automatically opted out.

What are Examples of Technical Data Ownership Protocols?

Several initiatives are underway to establish technical standards and frameworks to give users more control, limit access, and improve transparency.

  • MyData: An international non‑profit initiative promoting human‑centric control of personal data, its principles influence how software is designed to respect individual data rights.
  • Data Transfer Initiative: Backed by companies like Google and Microsoft, this protocol focuses on data portability—letting users move their data easily between services.
  • Solid: Developed by Sir Tim Berners‑Lee (inventor of the web), this project is designed to give users complete control of their data in personal "pods," and apps must request permission to access it.

While still in relatively early stages and focused more on personal data ownership, these efforts will likely influence B2B SaaS industry standards to support institutional data ownership as well.

What are Best Practices for Clarity in SaaS Data Ownership?

Your business data is critical for operations and is often a competitive differentiator, so treat it with the same care you’d use for any other proprietary intellectual property.

  • Review Contracts Thoroughly: Don’t make assumptions about data ownership. Consult your legal team to ensure SaaS vendors provide explicit statements of data ownership, portability guarantees, and transparent data retention and deletion policies.
  • Document Data Ownership Policies: Create internal policies that clarify who owns what data, define acceptable use of SaaS tools, and outline exit strategies from providers.
  • Establish Data Governance Frameworks: Implement governance protocols that include role‑based access controls, regular security audits, and data backup and recovery processes.
  • Educate Employees: Train staff on the importance of using approved tools, protecting your business and customer data, and following internal data policies.
  • Choose Transparent Vendors: Look for SaaS providers that prioritize customer‑first data ownership terms, robust security practices, and features and functionality that support data compliance and portability.


Data Ownership Protocols Comparison


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Make Data Ownership a Company Priority

SaaS has made business applications more accessible than ever. But it’s also introduced new risks associated with who owns, controls, and can use your data.

Lacking clear data ownership protocols:

  • You might be unable to retrieve your data if you cancel the service.
  • Your business and customer data might be used for purposes you never agreed to.
  • You could be legally liable for privacy violations, even if the vendor is at fault.

As you choose SaaS providers, make sure you have clarity and confidence that your most valuable digital assets remain yours, no matter what.


Download SaaS Data Privacy



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