What changes in data processing when a gas utility checks the condition of its assets using a drone rather than a team of people driving alongside the pipeline?
A.
Previously, they received condition data, now they receive observation data that needs to be analyzed to extract the condition
B.
Previously, they received reference data, now they receive incident data to find the work order
C.
Video data is much easier to read than structured data from the teams
D.
Previously, they received master data, now they receive reference data to find the incidents
E.
Previously, they received metadata, now they receive transactional data that needs to be analyzed to extract the data
Switching from human inspection to drones changes the data from direct condition reports to raw observation data (e.g., images or sensor readings) that requires analysis to derive asset conditions. The DAMA-DMBOK notes: “The introduction of new data collection methods, such as IoT or drones, often shifts data processing from structured, interpreted data to raw, observational data that requires additional processing to extract meaningful insights” (DMBOK2, Chapter 13: Data Integration and Interoperability, p. 517).
Options B, D, and E misalign data types (e.g., reference, master, or metadata are not relevant here), and C is incorrect as video data is typically harder to process than structured data.
[Reference:DAMA-DMBOK2, Chapter 13: Data Integration and Interoperability, Section 4.1, p. 517., ]
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