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Simplify Data Extraction from Your Systems

Updated over 3 months ago

Getting data from your systems efficiently is key to a smooth submission process. This guide will help you set up and maintain effective data extraction processes.

What is Data Extraction?

Data extraction is the process of retrieving data from your various systems (such as financial software, ticketing systems, or HR databases) and converting it into a format that can be easily used for our annual submission process. This typically involves running reports or queries to pull the specific data points we require.

Benefits of Proper Data Extraction

Setting up an efficient data extraction process can:

  • Save significant time in future submissions

  • Reduce the risk of manual errors

  • Ensure consistency in reported data year-over-year

  • Streamline collaboration between departments

Report Writer by AMS

πŸ‘‰ Included in your subscription

We offer a Report Writing service to help streamline your process:

  1. On-site expert: We'll send a specialist to your location

  2. System configuration: We'll set up automated reports tailored to your systems

  3. Team training: We'll show your team how to use the new setup

Available Options

  1. Virtual Support

    • Data Preparation Assessment via Zoom

    • Platform Training for your team

    • System configuration guidance
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  2. On-Site Assistance

    • 1-2 day site visit

    • Hands-on setup with your team

    • Custom report creation

    • Staff training

To request this service, use this form to let us know who will be our primary contact and we'll take it from there:

Setting Up Your Own Process

If you prefer to set up your own process:

  1. Identify data sources

    • Financial systems

    • Ticketing platforms

    • HR databases

    • Other relevant systems
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  2. Map fields

    • Match required fields to your system's data points

    • Document where each piece of data comes from

    • Note any calculations needed
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  3. Create reports/queries

    • Develop database queries or reports

    • Test outputs for accuracy

    • Document the process
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  4. Validate output

    • Cross-check against source systems

    • Verify calculations

    • Test with sample data
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  5. Document everything

    • Write clear instructions

    • Note any special considerations

    • Create a timeline for updates

Maintaining Your Process

  • Review and update your process annually

  • Keep documentation current (as much as you can)

  • Train new team members as needed

  • Plan for system upgrades or changes

Get Help

Need help setting up your data extraction process?

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