Table of Contents
Question
What is least likely to be achieved by implementing a Data Lifecycle Management (DLM) program?
A. Reducing storage costs.
B. Ensuring data is kept for no longer than necessary.
C. Crafting policies which ensure minimal data is collected.
D. Increasing awareness of the importance of confidentiality.
Answer
C. Crafting policies which ensure minimal data is collected.
Explanation
C. Crafting policies which ensure minimal data is collected.
Implementing a Data Lifecycle Management (DLM) program is unlikely to achieve the goal of crafting policies that ensure minimal data is collected.
Data Lifecycle Management focuses on the systematic management of data throughout its lifecycle, including data creation, storage, usage, retention, and disposal. The primary objective of DLM is to optimize data management processes, enhance data quality, and ensure compliance with regulatory requirements.
While DLM programs can contribute to various data-related benefits, such as reducing storage costs (Option A), ensuring data is kept for no longer than necessary (Option B), and increasing awareness of the importance of confidentiality (Option D), their main focus is not specifically on minimizing data collection.
Crafting policies to minimize data collection falls more within the realm of privacy-by-design principles and data minimization strategies. Data minimization aims to collect and retain only the necessary and relevant data for a specific purpose, minimizing the overall amount of personal data processed and reducing privacy risks. Although DLM programs may support data minimization efforts indirectly by managing data throughout its lifecycle, their primary goal is not focused on designing policies to minimize data collection.
Therefore, while DLM programs can contribute to many valuable outcomes, the least likely achievement among the options listed is crafting policies that ensure minimal data is collected (Option C).
Reference
- Data Lifecycle Management | Technology Glossary Definitions | G2
- Data Lifecycle Management | IBM
- Data Lifecycle Management: A 2023 Guide for Your Business (cloudwards.net)
- Data Lifecycle Management: Framework, Goals, And Challenges (2022) – Dataconomy
- How to Build a Privacy Program (iapp.org)
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