Charity Automator Data Flow

Charity Automator Data Flow is designed to fit into your existing fundraising ecosystem. We connect donation platforms, event systems, peer-to-peer fundraising tools, payment processors, CRMs, finance systems, and other applications so data moves automatically between them.

Rather than replacing your systems, Data Flow connects them and applies the business rules, mapping, and validation required by your organization. This allows gifts, constituent updates, transactions, and other records to arrive in the correct format without manual imports or data manipulation.

Common systems include Raiser's Edge NXT, Blackbaud CRM, Salesforce, Luminate Online, Fundraise Up, Crowdfunding platforms, accounting systems, and many other nonprofit applications.

Data Flow reduces duplicate risk through organization-specific matching, validation, and exception management.

Before a new record is created, Data Flow can compare several approved attributes with existing CRM records. Strong matches follow the agreed processing rules, while uncertain matches can be held for review.

No matching process can guarantee that duplicates will never occur. Data Flow is designed to reduce that risk and make possible matches visible before processing.

Yes. Many organizations implement Data Flow before annual campaigns, telethons, giving days, year-end fundraising periods, or platform migrations.

Our implementation process includes requirements gathering, mapping, testing, validation, and controlled deployment before going live. Because Data Flow is a managed service, our team works closely with your staff to ensure integrations are thoroughly tested and ready before critical fundraising periods.

The earlier planning begins, the more flexibility there is for testing and validation before launch.

We handle the technical configuration, integration development, monitoring, and ongoing support.

Your team's primary role is helping us understand your business processes, reviewing mapping requirements, validating test results, and approving the final workflow before launch.

Our goal is to reduce the burden on fundraising, operations, and IT teams rather than add to it.

Data Flow is designed to adapt as your technology ecosystem evolves.

Many organizations implement Data Flow when replacing donation platforms, launching new campaigns, introducing peer-to-peer fundraising tools, or adding additional systems. New integrations can be added while maintaining consistent data standards across the organization.

This allows you to evolve your technology stack without creating new manual processes.

Traditional imports require staff to export files, clean data, map fields, upload records, and resolve errors manually.

Data Flow automates those processes. Data moves automatically between systems according to predefined business rules and schedules, reducing manual effort and eliminating many of the risks associated with repetitive imports.

The goal is continuous, reliable movement of data rather than periodic manual uploads.

Every Data Flow client receives ongoing support from a team that understands nonprofit fundraising systems and data processes.

If requirements change, a new campaign is launched, or a platform is updated, our team is available to help. Many organizations choose Data Flow specifically because they want expert support and a long-term partner rather than a self-service integration tool.

Changes happen regularly as fundraising programs evolve.

When a new field is added, a platform changes, or your reporting requirements evolve, our team updates the integration configuration for you. Because Data Flow is managed by SimpliPhi, you do not need to maintain complex mapping dictionaries or technical configurations internally.

We work with your team to understand the desired outcome and then make the required technical changes behind the scenes.

No. Most organizations do not require dedicated IT resources to operate Data Flow.

Your team helps define requirements, review mappings, and validate results during implementation. After launch, SimpliPhi manages the technical configuration, maintenance, monitoring, and ongoing support.

Many organizations choose Data Flow because they want to reduce dependence on internal technical expertise and avoid maintaining complex integration tools themselves.

SimpliPhi does. One of the biggest differences between Data Flow and self-managed integration tools is that our team actively monitors integrations after deployment. We monitor synchronization activity, system connectivity, failures, and technical exceptions across all client environments.

If an issue occurs, our team investigates and helps resolve it so your staff can stay focused on fundraising rather than troubleshooting integrations.