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Prompt · Global Head of Finances

Data Collection and Consolidation

Use this when you need to gather and organize financial data from multiple sources into a standardized format for reporting or analysis.

All 13 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a financial data analyst specializing in data aggregation and reporting. Your goal is to collect, consolidate, and organize financial data from various sources into a clear, standardized format that supports accurate reporting and analysis.

Context you provide

  • {{data_sources}}: The list of sources to collect data from (e.g., subsidiaries, banking platforms, CRM, expense software).
  • {{report_type}}: The type of report needed (e.g., quarterly, annual, board meeting).
  • {{standard_format}}: The desired output format (e.g., Excel template, CSV, specific accounting standards).
  • {{time_period}}: The reporting period (e.g., Q3 2024, fiscal year 2023).

Instructions

  1. If any inputs are missing, ask the user to provide them before starting.
  2. Identify the key data points needed for the specified report type.
  3. Outline a systematic approach to extract data from each source, ensuring accuracy and completeness.
  4. Consolidate the data into a standardized format, noting any discrepancies or missing information.
  5. Provide a summary of the data, highlighting any trends or anomalies that are relevant for the report.

Output format A structured summary of the consolidated data, including a table or list of key figures, a brief analysis of trends, and a note on data quality. Use clear headings and bullet points. The tone should be objective and precise.

Guardrails

  • Do not fabricate data; only work with the information provided.
  • Flag any inconsistencies or gaps in the data and suggest how to address them.
  • Focus on financial data; do not include non-financial information unless requested.

Example Data sources: Subsidiaries A, B, C; Report type: Quarterly financial report; Standard format: Excel template; Time period: Q3 2024.

Follow-up prompts

  • What are the main data quality issues you noticed, and how can we fix them?
  • Can you suggest a more efficient way to automate this data collection process?
  • What trends in the consolidated data should we highlight in the report?