Data Privacy & Compliance
Data Minimization Principle: A Key Part of Data Privacy
Understanding the most talked-about data management principle in all data protection laws, regulations, and frameworks today.
Understanding the Data Minimization Principle
The Data Minimization Principle (DMP) is the most talked-about data management principle in all data protection laws, regulations, and frameworks today. This principle means collecting and keeping ONLY the relevant personal data needed by the business for a specific purpose. It has its roots in the U.S. Privacy Act of 1974 and the concept of Privacy by Design.
The data minimization principle became widely important with the passing of EU-GDPR in 2018 and is described in Article 5 (1)(c) of EU GDPR. The article states that the personal data collected shall be "Adequate, relevant and limited to what is necessary in relation to the purposes for which they are processed ('data minimisation')."
Data Minimization in Global Privacy Laws
Several other data privacy laws, regulations, and security frameworks followed EU GDPR and adopted this principle of data minimization into their own structures:
CPRA (California)
Section 3(B)(3) Responsibilities of Businesses requires businesses to only collect information that is relevant and limited to the purpose it was collected for.
Canadian PIPEDA
Under The Limiting Collection Principle (Clause 4.4), organizations must collect only the information that is necessary for the defined purpose.
UK GDPR (ICO)
The United Kingdom's Information Commissioner's Office lists Data Minimization as Data Protection Principle (c), requiring organizations to process only adequate, relevant, and limited information.
India's DPDPA 2023
Under Chapter II: Obligations of Data Fiduciary, aligns with the principle of data minimization in Section 6(1), which requires consent to be limited only to such personal data as is necessary for the specified purpose. DPDPA further reinforces it under Section 7(a), restricting processing strictly to the purpose for which the data was voluntarily provided.
French Data Protection Act (FDPA)
Commonly known as "La Loi Informatique et Libertés" under Article 4 of Chapter 1, it clearly states that data controllers should only collect and process relevant and necessary information.
ISO 27701
Clause 7.4.4 – PII minimization objectives require organizations to collect limited and relevant information for the purpose it was collected.
In case data controllers collect more information than required, organizations should remove unnecessary, irrelevant information permanently using a secure data wiping tool for wiping files and folders.
What is the Principle of Data Minimization?
The collection of information, under the data minimization principle, should be limited to and adequate enough to fulfill the specific purpose for which it was collected. This is to ensure that no irrelevant or excessive data is collected. The relevancy aspect of this principle states that the personal data collected and processed by the organization must have a logical connection to the collection purpose.
Organizations must only collect a limited amount of data that is necessary. The collected data should also be reviewed on a regular basis, and excessive data should be permanently removed.
Example:
An online food delivery business requires details like Name, Address, Phone Number (For Communication), E-Mail (Optional for Billing), and delivery instructions to provide necessary services to their customers. This data is adequate, relevant, and limited to the purpose of its collection, which is to deliver food. However, if the business also collects data related to employment, family, marital status, etc., it would be considered a break of the Data Minimization Principle since the above information is not required for delivering food.
Importance of Data Minimization
Data Minimization is a part of several data privacy regulations worldwide; therefore, its importance cannot be downplayed. The below points highlight its importance for businesses:
To Stay Compliant with Laws
Important laws like EU-GDPR, CPRA, FDPA, and HIPAA have Data Minimization requirements that organizations must follow. The penalties for violations are severe and can have large-scale effects, including monetary fines, lawsuits, loss of trust and credibility, and damage to the brand image.
A recent example: The Irish Data Protection Commission gave Meta Platforms a fine of €251 million for failing to ensure only personal data necessary for specific purposes was processed.
To Enhance Trust & Transparency
By collecting, storing, and processing only relevant information, organizations gain the trust of their customers. It has been observed that customers tend to trust organizations that value data privacy and have transparent processes. Cisco 2024 Consumer Privacy Survey revealed that 75% of consumers won't buy from companies they don't trust with their data.
Mitigate Data Breach Risks
Collecting, storing, and processing only necessary data acts as a risk reduction method. It helps minimize the data stored on organizational systems, thereby reducing the attack surface and possibility of data breaches.
Reduces Storage Costs
Reducing the number of data points collected and stored on the organization's IT setup or cloud reduces the overall data storage cost. It helps bring down the capital expenses related to buying, setup, and licensing, as well as operating expenses of recurring fees, maintenance, energy use, data security, and recovery, etc.
Simplified Data Management
Having less data enables effective and simplified data management by providing focused insights. According to many CISOs, the practice of collecting data now and analyzing it later is becoming less relevant, as the build-up of unnecessary information often hides important insights.
How Organizations Can Achieve Data Minimization
To follow the Data Minimization Principles, DPOs and CISOs can follow these tips:
- Define Information Collection Parameters: Organizations should review and identify the purpose of data collection and the data points they collect. Each data point should be evaluated and sorted as either essential or non-essential based on whether it's needed for delivering the goods or services for which it was collected.
- Limit Collection of Data: Organizations should limit data collection to meet the specific purpose. A few things, like limiting the collection of PII or sensitive information in web forms, surveys, and feedback, and updating cookie policies with enhanced data privacy controls, can help limit data collection.
- Define Data Retention Policy: Organizations must define a data retention policy that mentions the time period for which the data should be retained. The policy should also state the steps to be taken once the data retention period is over.
- Create a Data Disposal Policy: A data disposal policy must be created with procedures mentioning the handling of data when its retention period is over, when excessive data needs to be destroyed, or when a storage device needs upgrading or retirement. The policy should provide guidance on the media-specific data disposal methods, tools to be used, and people responsible.
- Use Data Erasure Software: Using data erasure software like D-Secure, organizations can permanently get rid of data from drives and devices. On the other hand, using D-Secure File Eraser software, businesses can remove excessive data to follow the Data Minimization Principle and fulfill 'Right to Erasure' requests. For erasing files on Mac devices, organizations can use D-Secure File Eraser for Mac.
- Leverage Privacy by Design Tools: Privacy by Design is a framework that puts principles of data privacy into the design of the product or technology itself. By implementing this in the organization's DNA, businesses can minimize data collection. For Example, the search engine DuckDuckGo has been designed in a way that respects user privacy and doesn't track user behavior. It blocks third-party trackers, pop-up cookies, and email trackers, provides Global Privacy Controls (GPC), and all searches on it are private by default.
These are a few tips that can help organizations follow the requirements of Data Minimization. These can be followed and implemented by organizations of any size, regardless of their region, industry, or sector.
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