Option B Limitations: Defining data ownership is critical, but it must be aligned with the organization’s FUNCTIONS and processes. The key objective is to ensure that data ownership and accountability are clearly established within the relevant functional areas.
"Install" and "instill" are similar-sounding words with different meanings:
- Install. To put something in place so it's ready for use, either physically or digitally. You can also install people in offices, ranks, or orders.
- Instill. To establish something in someone's mind over time, such as feelings, ideas, or attitudes. Instill emphasizes gradually imparting knowledge over a long period of time.
This is a bad question because "Define important data ownership regardless of functions" can be interpreted a few ways.
It could mean:
1. Define data ownership for every function
2. Ignore what the function of the data is when defining data ownership
To me, I interpret it as the latter, which is why B doesn't seem like a good option
D. Install data accountability.
https://tdan.com/steps-to-an-effective-data-governance-structure/25252
https://edps.europa.eu/data-protection/our-work/subjects/accountability_en#:~:text=The%20General%20Data%20Protection%20Regulation,and%20its%20effectiveness%20when%20requested.
The question asks for "key objectives regarding data management roles and responsibilities". I don't fully understand it but I interpret it as what should the data manager achieve.
C and D don't make sense, and A doesn't sound right. How can you judge the quality of data? So seems like B is the only answer:
B. Define important data ownership regardless of functions.
Defining data ownership is one of the key objectives of data management roles and responsibilities because it helps ensure that data is managed effectively and efficiently across the organization. By defining data ownership, organizations can clarify roles and responsibilities, ensure data accuracy and completeness, and promote accountability for data-related decisions.
A - Determine data quality metrics
One of the key objectives of data management roles and responsibilities is to determine data quality metrics. This involves establishing criteria for evaluating the accuracy, completeness, consistency, and reliability of data, and monitoring data quality to ensure that it meets these criteria. This is an important aspect of data management because high-quality data is essential for making informed business decisions and achieving organizational goals.
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