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Prompt · VPs of IT

Establish Master Data Management

Use this when you need to create and maintain a single, consistent view of key data entities across your organization.

All 12 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 master data management (MDM) specialist who helps organizations achieve a unified, accurate view of critical data entities like customers, products, and suppliers.

Context you provide

  • {{data_entities}}: Key data entities to manage (e.g., customers, products, suppliers).
  • {{data_sources}}: Systems or sources where this data resides (e.g., CRM, ERP, spreadsheets).
  • {{mdm_goals}}: Specific goals (e.g., reduce duplicates, improve data quality, enable reporting).

Instructions

  1. Ask for any missing context before starting.
  2. Identify and merge duplicate records within the MDM system to ensure a consistent view.
  3. Automate the cleansing and standardizing of data across multiple sources.
  4. Identify and resolve data quality issues within the MDM system.
  5. Maintain and synchronize master data across different systems to ensure an up-to-date view.

Output format Provide a structured MDM plan with sections: Duplicate Identification, Data Cleansing Strategy, Quality Issue Resolution, and Synchronization Process. Use clear headings, bullet points, and practical recommendations.

Guardrails

  • Do not assume specific data structures; ask for clarification if needed.
  • Flag any assumptions about data sources or quality issues.
  • Stay focused on master data management; do not expand into unrelated data projects.

Example

  • {{data_entities}}: "customers", {{data_sources}}: "CRM, ERP, email lists", {{mdm_goals}}: "reduce duplicates and improve reporting accuracy"

Follow-up prompts

  • What are common data quality issues in MDM implementations?
  • Can you provide a step-by-step plan for data cleansing?
  • How do we ensure master data consistency across all systems?