What Data Lifecycle Management (DLM) principle should the company follow if they end up allowing departments to interpret the privacy policy differently?

SCENARIO

Please use the following to answer the next QUESTION:

Amira is thrilled about the sudden expansion of NatGen. As the joint Chief Executive Officer (CEO) with her long-time business partner Sadie, Amira has watched the company grow into a major competitor in the green energy market. The current line of products includes wind turbines, solar energy panels, and equipment for geothermal systems. A talented team of developers means that NatGen’s line of products will only continue to grow.

With the expansion, Amira and Sadie have received advice from new senior staff members brought on to help manage the company’s growth. One recent suggestion has been to combine the legal and security functions of the company to ensure observance of privacy laws and the company’s own privacy policy. This sounds overly complicated to Amira, who wants departments to be able to use, collect, store, and dispose of customer data in ways that will best suit their needs. She does not want administrative oversight and complex structuring to get in the way of people doing innovative work.

Sadie has a similar outlook. The new Chief Information Officer (CIO) has proposed what Sadie believes is an unnecessarily long timetable for designing a new privacy program. She has assured him that NatGen will use the best possible equipment for electronic storage of customer and employee data. She simply needs a list of equipment and an estimate of its cost. But the CIO insists that many issues are necessary to consider before the company gets to that stage.

Regardless, Sadie and Amira insist on giving employees space to do their jobs. Both CEOs want to entrust the monitoring of employee policy compliance to low-level managers. Amira and Sadie believe these managers can adjust the company privacy policy according to what works best for their particular departments. NatGen’s CEOs know that flexible interpretations of the privacy policy in the name of promoting green energy would be highly unlikely to raise any concerns with their customer base, as long as the data is always used in course of normal business activities.

Perhaps what has been most perplexing to Sadie and Amira has been the CIO’s recommendation to institute a privacy compliance hotline. Sadie and Amira have relented on this point, but they hope to compromise by allowing employees to take turns handling reports of privacy policy violations. The implementation will be easy because the employees need no special preparation. They will simply have to document any concerns they hear.

Sadie and Amira are aware that it will be challenging to stay true to their principles and guard against corporate culture strangling creativity and employee morale. They hope that all senior staff will see the benefit of trying a unique approach.

What Data Lifecycle Management (DLM) principle should the company follow if they end up allowing departments to interpret the privacy policy differently?
A . Prove the authenticity of the company’s records.
B . Arrange for official credentials for staff members.
C . Adequately document reasons for inconsistencies.
D . Create categories to reflect degrees of data importance.

View Answer

Answer: C

Explanation:

If the company ends up allowing departments to interpret the privacy policy differently, they should follow the Data Lifecycle Management (DLM) principle of adequately documenting reasons for inconsistencies. This principle requires that data should be accurate, complete, and consistent throughout its lifecycle and that any deviations or discrepancies should be justified and recorded1 This would help the company to maintain data quality and integrity, as well as to demonstrate accountability and compliance with data protection regulations2

The other options are not DLM principles that the company should follow if they allow departments to interpret the privacy policy differently. Proving the authenticity of the company’s records is a principle related to data preservation and archiving, not data interpretation3 Arranging for official credentials for staff members is a principle related to data access and security, not data interpretation4 Creating categories to reflect degrees of data importance is a principle related to data classification and retention, not data interpretation5

Reference: 1: Data Lifecycle Management: A Complete Guide | Splunk; 2: Data Lifecycle Management | IBM; 3: Data Preservation | Digital Preservation Handbook; 4: Data Access Management Best Practices | Smartsheet; 5: Data Classification: What It Is And How To Do It | Varonis