Omatic vs Charity Automator Data Flow for Nonprofits

How Charity Automator Data Flow Works

Charity Automator Data Flow controls how transactions move from fundraising platforms into the CRM.

The process follows seven connected stages.

1. Collect incoming transactions

Data Flow collects transactions from connected fundraising platforms according to the agreed integration design and processing schedule.

This reduces the need for staff to download, prepare and manage spreadsheets before information can be imported into the CRM.

2. Match existing records

Incoming constituent information is compared with existing CRM records using the organization’s matching criteria.

This helps prevent unnecessary duplicate records and supports a more consistent constituent history.

3. Apply coding and business rules

Data Flow applies the organization’s campaigns, funds, appeals, packages, gift types, payment methods and other required revenue rules.

Applying these rules consistently helps fundraising and finance teams work with more reliable revenue information.

4. Validate the results

Required values, mappings and processing conditions are checked before data moves to the CRM.

When a transaction does not meet the established requirements, it can be identified before incomplete or incorrectly coded information reaches the destination system.

5. Move data on an agreed schedule

Validated transactions move to the CRM according to the processing schedule established with the organization.

The appropriate schedule depends on transaction volumes, fundraising activities, reporting needs and the systems involved.

6. Identify transactions requiring attention

Transactions that cannot be processed as expected are clearly identified. They remain recoverable after the underlying issue is reviewed or corrected.

This gives staff a clear path for resolving incomplete information, uncertain matches or unexpected values.

7. Support reconciliation and auditability

Source IDs, batch information and processing history help teams connect CRM records with their originating transactions.

These details make it easier to reconcile activity, investigate differences and understand how a transaction was processed.

Together, these stages create a repeatable path from the fundraising platform to the CRM, reducing spreadsheet work, inconsistent coding and unexplained discrepancies.

Why Nonprofits Reconsider Their Current Integration Process

Nonprofits typically evaluate a new approach when their integration process creates too much operational work or does not provide enough confidence in CRM data.

Too much spreadsheet handling

Staff may still need to export files, reorganize columns, correct values, apply coding and prepare imports.

These steps take time and create additional opportunities for errors. The workload becomes especially difficult during giving days, emergency appeals, events and year-end fundraising periods, when transaction volumes increase and current information becomes particularly important.

Inconsistent or delayed CRM data

When coding is applied manually, transactions can arrive in the CRM with inconsistent campaigns, funds, appeals, packages or gift types.

When importing depends on staff availability, CRM information may also fall behind the fundraising platforms where transactions originated.

These problems can affect acknowledgements, donor service, reporting, campaign analysis and finance reconciliation.

Difficult exception handling and reconciliation

Not every transaction can be processed immediately. Information may be missing, a match may be uncertain or an incoming value may not meet an established rule.

Teams need to identify these transactions, understand what prevented them from processing and recover them after correction.

They also need source identifiers, batch information and processing history to connect CRM records with their originating transactions. Without this information, reconciliation can become a lengthy investigation.

Omatic and Charity Automator Data Flow: What Should You Compare?

Omatic and Charity Automator Data Flow both help nonprofits move data between fundraising systems and CRMs. Both address important integration requirements such as mapping, matching, transformation, validation and automated processing.

The decision should be based on how each solution handles your organization’s transaction types, coding rules, exceptions, reconciliation requirements and ongoing ownership.

Data Flow should be evaluated as the controlled automation layer between your fundraising platforms and CRM. The best choice depends on your systems, transaction volumes, business rules, internal resources and reconciliation requirements.

Migrating from Omatic to Charity Automator Data Flow

Replacing an established integration requires careful planning because existing workflows may contain years of mappings, business rules, exceptions and manual workarounds.

The migration process should determine which elements still serve the organization, which processes should be simplified and how the new transaction flow will be validated.

1. Assess the current environment

SimpliPhi documents the connected platforms, transaction types, volumes, schedules, matching criteria, coding rules, manual steps and reconciliation requirements.

This assessment creates a complete picture of how data currently moves and where operational risks or inefficiencies exist.

2. Design the transaction flow

The organization and SimpliPhi define how transactions will be collected, matched, coded, validated and transferred.

They also establish how exceptions will be handled, which processing information must remain available and which teams are responsible for reviewing the results.

The objective is to design a process that supports the organization’s current requirements while providing room for new campaigns, platforms and transaction types.

3. Test real fundraising scenarios

Testing covers common and more difficult transactions, including:

• New and existing constituents
• One-time and recurring gifts
• Potential duplicate records
• Different campaigns, funds and appeals
• Missing or unexpected values
• Refunds or adjusted transactions
• Transactions requiring attention

The results are compared with the source information, expected CRM records and reconciliation requirements before the integration is approved for launch.

4. Complete a controlled go-live

Before launch, the organization and SimpliPhi confirm the processing schedule, monitoring responsibilities, exception process, reconciliation criteria and escalation path.

Processing is reviewed after launch to confirm that transactions are moving as expected and that staff can identify and resolve records requiring attention.

Results Nonprofits Have Achieved with Charity Automator Data Flow

The impact of automation should be measured through the work it removes, the consistency it creates and the confidence it gives fundraising, data and finance teams.

Saving approximately 30 hours per month

One nonprofit organization was processing more than 17,000 gifts during its peak fundraising season. Before implementing Data Flow, staff spent six to eight hours each week managing integrations and one to two days each month on reconciliation.

After automating the process, the organization eliminated manual gift entry and saved approximately 30 hours per month.

Read the customer story

These results reflect different fundraising environments, but the operational goal is consistent: reduce spreadsheet handling, apply revenue rules more consistently, keep CRM information current and make differences between systems easier to understand.

Frequently Asked Questions (FAQ) 

What is an alternative to Omatic for nonprofits?

Charity Automator Data Flow is designed for nonprofits that need a controlled automation layer between fundraising platforms and their CRM.

It collects transactions, matches records, applies coding and business rules, validates results and moves data on an agreed schedule. Recoverable transactions, source identifiers, batch information and processing history support reconciliation and auditability.

How does Data Flow handle transactions that cannot be processed?

Transactions that require attention are clearly identified and remain recoverable.

Once the underlying issue has been reviewed or corrected, the transaction can continue through the appropriate process instead of being lost inside a spreadsheet workflow or remaining unexplained.

How does Data Flow support reconciliation?

Data Flow preserves information such as source identifiers, batch information and processing history.

These details help fundraising, data and finance teams connect CRM records with their original transactions, validate processing results and investigate differences between systems.

Does Charity Automator Data Flow support Raiser’s Edge NXT?

Yes. Charity Automator Data Flow can support integrations involving Raiser’s Edge NXT and platforms such as Luminate Online, Financial Edge NXT, and other fundraising applications.

The specific integration design depends on the systems, transaction types and business requirements involved.

How long does it take to migrate from Omatic?

The timeline depends on the number of connected systems, transaction types, existing mappings, business rules, testing requirements and complexity of the fundraising environment.

SimpliPhi begins with an assessment to document the current process and define the migration scope.

Is Charity Automator Data Flow Right for Your Nonprofit?

The right integration approach should give your organization confidence in how fundraising transactions reach the CRM.

Your team should be able to understand:

• Where transactions originated
• How existing records were matched
• Which coding and business rules were applied
• What was validated
• Which transactions require attention
• How CRM records connect with their source transactions

Charity Automator Data Flow provides this controlled path between your fundraising platforms and CRM. It helps nonprofits reduce spreadsheet handling, apply revenue coding more consistently, keep CRM information current and investigate fewer unexplained differences between systems.

See the wider range of donor data integration options.

Map One of Your Transaction Flows with SimpliPhi

Bring us one fundraising platform, your CRM destination and an example of how transactions are currently processed.

Together, we can review:

• How existing records should be matched
• Which revenue coding and business rules must be applied
• What should be validated
• How exceptions should be handled
• How frequently data needs to move
• Which information is required for reconciliation