Which of the following is the MOST effective approach to identify personal data stored as unstructured data?

The correct answer is A. Use data discovery tools.. Unstructured data (emails, documents, images, spreadsheets, etc.) lacks a predefined schema, making manual identification impractical at scale. Data discovery tools use automated scanning, pattern matching, regular expressions, and sometimes machine learning to locate personal da

Data Life Cycle

Question

Options

AUse data discovery tools.
BReview downloads from databases.
CQuery application developers.
DSurvey users and data owners.

How the community answered

(47 responses)

A
74% (35)
B
4% (2)
C
9% (4)
D
13% (6)

Explanation

Unstructured data (emails, documents, images, spreadsheets, etc.) lacks a predefined schema, making manual identification impractical at scale. Data discovery tools use automated scanning, pattern matching, regular expressions, and sometimes machine learning to locate personal data across unstructured repositories. Reviewing database downloads (B) is better suited to structured data. Querying developers (C) or surveying users and data owners (D) relies on human memory and knowledge, which is inherently incomplete and error-prone, especially across large, decentralized environments. Automated data discovery tools are the only scalable and reliable method for finding personal data in unstructured data stores.

Topics

#Data discovery#Unstructured data#Personal data identification

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