Guidelines for Optimal Performance – Consumer Users
To maximize the effectiveness of your interactions with the Oracle Analytics AI Assistant, follow these guidelines:
- Functional focus of queries.
- Consumer users are expected to ask functional, goal-oriented questions relevant to business operations, such as:
- "Who are the top performing Sales Reps this month?"
- "Which department has the highest attrition in last 6 months?"
- Don't ask about:
- The structure, schema, or internal logic of the dataset.
- Technical metadata or data lineage.
- Consumer users are expected to ask functional, goal-oriented questions relevant to business operations, such as:
- Be aware of structure and paraphrasing.
- If the Oracle Analytics AI Assistant doesn't return a satisfactory or relevant answer:
- Try rephrasing the question using simpler or more explicit language.
- Avoid overly complex or nested queries. Break them into multiple smaller questions if needed.
- For example, instead of:
"Which top 3 regions had declining profit last quarter but improved this quarter in electronics?"
Try:"What was the profit trend last quarter for electronics by region?"
Followed by:"How did it change this quarter?"
- If the Oracle Analytics AI Assistant doesn't return a satisfactory or relevant answer:
- When referring to column names or field values, pause briefly (1–2 seconds) while typing.
- The Oracle Analytics AI Assistant displays auto-suggestions based on the active dataset fields.
- Selecting from the suggestions ensures alignment with the actual metadata, improving result accuracy.
- Start typing "customer" and wait for customer_segment, customer_region to appear, then select the appropriate one.
- Understand contextual carry-forward behavior.
- The Oracle Analytics AI Assistant remembers the context of previous questions and answers within the same conversation.
- Applied filters (e.g., for region, product line, time period) persist across follow-up questions, unless explicitly changed.
- A consumer user may use the following prompts, and the context is carried forward for prior quarter data. For example:
- Q1: "Show sales trend for last 5 years."
- Q2: "Show only trend for Technology Products."
- Q3: "Break it down by product subcategory."
- If you want to start a new set of prompts, click Clear Assistant History at the top of the Oracle Analytics AI Assistant chat window to reset the context and begin a new analysis path.