Which question belongs in assessing an agent for data analytics?
Why C is the answer
Can the data be trusted, and who can access it?
Analytics agents depend on trustworthy data and correct permissions.
In detail
- Trust in the data and control of access decide whether analytics is safe.
- Agents reflect the permissions and quality of the data.
Use case
An illustrative scenario, not a real incident.
Before a sales analytics agent goes live, the team checks that figures match finance, and that managers see only their own data.
See it in different ways
flowchart LR
A["Business data"] --> B{"Accurate, relevant, timely?"}
B -->|No| C["Clean it first"]
B -->|Yes| D["Check security and permissions"]
D --> E["Ground the agent"]mindmap
root((Grounding data))
Accuracy
Relevance
Timeliness
Cleanliness
Availability
Access controlmindmap
root(("Analytics agent"))
n1["Trust"]
n2["Are the numbers right?"]
n3["Access"]
n4["Who may see them?"]Key point: Analytics agents need trusted data and access.
Why the other options are wrong
- A. Can it draw charts faster than the current report?
- Speed matters less than trusted data.
- B. Is the dashboard popular with the design team?
- Popularity with designers is not relevant.
- D. Does the agent have a friendly enough name?
- A name has no effect on the results.