Anonymized production data

As explained in Effective Data Analysis

Anonymized data is data modified so that individuals cannot be identified directly or reasonably linked to the records.

Anonymized production data consists of operational records modified so individuals cannot be identified directly or reasonably linked back to those records. It supports analysis while reducing exposure of personal information, but responsible use still depends on applicable data-protection requirements. section 8.2.1

Use anonymized production data alongside disciplined governance:

• Limit collection to a specific purpose and restrict access to the data. section 8.2.1
• Retain records only as long as necessary and account for individual rights concerning collection and use. section 8.2.1
• Coordinate analytics practices with IT, security, and legal teams when organizational responsibilities require it. section 8.2.1

Figure 8.3 Many types of sensitive information are governed by sector-specific laws, both in the US, as in the examples shown here, and around the world.

Use the figure to survey sector-specific laws that may shape how sensitive production data is handled. section 8.2.1

How Effective Data Analysis covers it

How deep it goes

Defines the privacy goal and surrounding governance duties but does not explain specific anonymization techniques or reidentification testing.

Examples

Contrasts anonymized records with names, addresses, phone numbers, email addresses, and IP addresses as identifying information.

What it assumes

Assumes familiarity with organizational analytics and introduces personal-data definitions, handling expectations, and individual rights.

What you can do after

Evaluate analytics data practices against access, purpose, retention, and individual-rights requirements.

How it connects

Connects anonymized data with personal data, sensitive data, data protection regulations, GDPR, and analytics governance.

liveBookmanning.com

Read Effective Data Analysis on liveBook Get the book at manning.com

Related concepts

• k-anonymityproduced by · K-anonymity is a privacy property requiring each record to be indistinguishable from at least k−1 other records with respect to specified identifying attributes.
• lookalike audience targetingused by · A targeting technique that identifies prospective audience members who resemble a selected group of existing customers or users.
• re-identificationused by · Re-identification is the process of linking supposedly anonymized or de-identified data to a specific individual.
• anonymizationproduced by · Anonymization is the alteration or removal of data that reduces the ability to identify individuals or link them to records.

This explainer was generated by Manning's knowledge graph from the text of Effective Data Analysis. The section links point to the parts of the book it draws on.