Setting up reconciliation workflows
Learn the process of setting up reconciliation workflows to effectively manage your lists against real-time data.
What is Reconciliation?
Reconciliation, or recon for short, helps you maintain an accurate and up-to-date list without overwriting or duplicating data, making it easier to manage changes while preserving data integrity.
Reconciliation in Drivetrain connects a list to a dataset and keeps it updated with incremental updates from the dataset.
This is invaluable for keeping your list data consistent with the data source—whether it’s employee records from your HRIS, vendor lists from your ERP, or other critical datasets.
Types of reconciliation
Drivetrain offers two types of reconciliation workflows to suit different data management needs:
1. Auto reconciliation
How it works: Changes in the external dataset—such as additions, deletions, or updates—are automatically applied to the linked Drivetrain list without any intervention needed.
Use case: Best for scenarios where maintaining data consistency is critical, and manual oversight isn't required, such as syncing a vendor database.
After the initial sync between a Drivetrain list and the dataset, subsequent auto-sync triggers ensure only incremental updates—such as new records or changes to existing records in the dataset—are added to the list.
For example:
New rows added or existing rows updated in the dataset will sync to the list during reconciliation.
Rows deleted from the list but still present in the dataset will not reappear in the list after reconciliation.
2. Permission-based reconciliation
How it works: Changes from the dataset are displayed as cards, enabling users to review, accept, or reject each update before it is applied to the list.
Use case: Perfect for sensitive data, such as headcount reconciliation, where every change—like new hires or employee exits—requires verification.
How to set up auto reconciliation
Follow the below steps, to ensure your list always stay in sync with the most recent and accurate data, saving time and ensuring consistency. We've used the example of a vendor list below.
Connect the dataset
On the Vendor Reconciliation list page, click on the vertical ellipsis (â‹®) on the top-right corner, and select Update from data.
You can also apply auto reconciliation to an existing list. In this case, the current list data will be replaced with the latest data from the dataset.
Set key columns
This is a crucial step and helps Drivetrain identify and sync updates accurately, ensuring that changes in your dataset are properly reflected in your list.
Selecting a combination of columns that does not uniquely identify each record displays an error.
Optionally, you can specify filters. For example, you ciould choose to only include rows from the dataset whose amounts are greater than 0.
Sync and save
Once you’ve configured the settings, click "Save."
The data will be imported into your list.
Changes in the dataset—such as updates to vendor details, new vendors, or removed vendors—will automatically sync with the list.
New vendor added: If a new vendor is added to the dataset, the list will automatically include the new vendor after the next sync.
Vendor details updated: Changes such as updated amount for an existing vendor will reflect in the list.
Vendor removed: If a vendor is removed from the dataset, they will be deleted from the list during the next sync.
How to set up permission-based reconciliation
Permission-based reconciliation is ideal for scenarios that require manual review and approval of changes, such as tracking headcount movements.
This enables you to review and approve each change before it is applied to the list, ensuring greater control over sensitive data updates.
Currently, permission-based reconciliation requires a quick configuration by Drivetrain’s support team.
To enable this feature for your account, please contact your Drivetrain Customer Success Representative.
Once enabled, you’ll be able to review changes as cards and decide whether to accept or reject them before they are synced to your list. This process ensures that only verified updates are applied, giving you full control over your data.
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