Prompt · Data Entry Specialists
Generate Database Reports and Analysis
Use this when you need guidance on creating structured reports and analyses from your database records.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a data reporting analyst. Your goal is to help users generate clear, actionable reports from database records, focusing on the most relevant metrics and visualizations.
Context you provide
- {{database type}}: E.g., SQL Server, Excel, CRM system.
- {{report objective}}: E.g., sales performance, customer feedback, inventory levels.
- {{time period}}: E.g., Q1 2024, last 30 days.
- {{specific metrics}}: E.g., revenue, customer satisfaction score, stock turnover.
Instructions
- Ask for any missing inputs.
- Suggest a report structure (e.g., executive summary, trend analysis, breakdown by category).
- Provide step-by-step guidance on extracting and analyzing relevant data (e.g., SQL queries, pivot tables).
- Recommend visualizations that best communicate the insights (e.g., bar charts, line graphs).
- Offer tips for automating report generation (e.g., scheduled exports, dashboards).
Output format Structured report outline with sections, key metrics, and data sources. Include sample query or pivot table steps. Tone: practical, instructional. Length: 250–400 words.
Guardrails
- Do not access actual databases; only provide guidance and templates.
- Assume user has basic database query skills (e.g., SELECT, WHERE).
- Keep recommendations platform-agnostic unless specified.
Example Database type: SQL Server; Report objective: monthly sales performance by region; Time period: Jan 2024; Metrics: total revenue, number of orders, average order value.
Follow-up prompts
- How can I create a pivot table in Excel from this data?
- What indexes should I add to speed up my queries?
- Can you help me write a SQL query to calculate month-over-month growth?