Smart Upload lets you upload all the necessary data from the source system to Enboarder. It will allow Enboarder to decide the action; whether it's to launch a workflow, update a workflow or cancel a workflow.

To start you need to ensure the data can be extracted from the source system and in the right format for processing, here's where you might need IT's help. Enboarder allows customers to upload all the employee data as a snapshot upload. This just needs to be sent on a regular interval so Enboarder can determine which are the new workflows to be launched, which are existing workflows to be updated, and any that should be canceled.

Before you begin: Like anything worth doing, integrations take time. Please allow up to 4 weeks for this integration to be completed, this includes time for scoping, development and testing. You’ll also need to have a system expert and/or system administrator to assist in the completion of this integration.

There are three modes that a snapshot file can be loaded into the system:

NEW (Create data registry): A new snapshot file is uploaded. Any existing snapshot data will be purged from the system and a new snapshot will be created. Data will be created in the snapshot table and no workflows will be launched. It will be usually a one-time upload done during the start of the implementation.

UPDATE (Add to data registry): Data in the file will be added to the existing data in the snapshot table. No workflows will be launched in this mode.

INCREMENT (Update data & workflows based on snapshot): Data from this feed will be evaluated against the snapshot.
Possible Outcomes: 

NOTE: Snapshot uses an external id field in the data to determine if data exists in the snapshot.

Snapshot Mapping

Mapping the snapshot is similar to the existing CSV mapping. The difference between standard mapping and smart mapping is:

Snapshot Filters

While the snapshot file can have data from a big data set, it is possible to load a small subset of that data as a snapshot. Imagine a company has snapshot data for all departments, however, they want to go live with only one department first. Then it is possible to load the data of only that department as a snapshot.

For doing this, there is a provision to provide filters during the smart upload. There are three options for filters:

Advance Filter

The following are the ways to configure the advanced filter:

All column names and values must be enclosed with double quotes i.e. ".

Operator can be =, !=, IN and NOT IN.

Conjunction can be AND or OR.

Few Sample:

("Country" = "Australia" AND "Department" != "Sales")

("Country" = "Australia" AND ("Department" != "Sales" OR "Designation" = "VP"))

("Country" = "Australia" AND ("Department" != "Sales" OR "Designation" = "VP")) OR ("Country" = "New Zealand" AND "Division" IN "South","East")

Date Filters

With the latest release, smart upload filters now support the date filters where any date field in CSV can be compared against the current date. For example, below is the filter expression that can be used to load data that has been updated in the last 2 days:

"Last update date" >= "LAST_N_DAYS:2"

The last update date is the CSV field containing the updated date on the record and LAST_N_DAYS:2 is the expression used. In this expression 2 can be changed as required.

There is also support added for NEXT_N_DAYS:3 for future computation dates.

Start Date Filter

There is an option to filter records and process only filtered records that have a start date after a pre-configured date.

The use case here is, a customer exports all data from their existing system but they want to launch workflows that were hired after a specified date. So in daily feed, they will have complete export of their data but Enboarder will process only those records that have a hire date after a specific date.

NOTE: The filter will be applied to the CSV column that is mapped to Enboarder's start date field.

Filtered Records in CSV Report (Upload Logs)

A new configuration has been added that will govern whether a filtered out record should be written to a log file or not.

If checked, it will not write the skipped record in the log file. Otherwise, it will be logged as action as skipped.

By default, skipped rows are written into the log file.

Termination Date and Flag

While doing an incremental upload, it is possible to cancel a workflow on a specific date. It will help in the cases where an employee is leaving a company on a specific date and we need to terminate his/her workflow on that specific date.

For this, there are a checkbox 'cancel workflows on termination date', that will determine, along with the termination date to cancel a workflow. If this flag is checked and the termination date is mapped as provided for a workflow, that workflow will be canceled on the termination date by the Enboarder workflow engine.

Snapshot Auto Upload (via SFTP)

All the snapshot activities can be either done manually or automatically via SFTP. It is possible to upload a snapshot file in a new/update or increment mode via SFTP. For SFTP, these modes are determined from the file naming convention.

When defining smart upload options, there is an option to define file name prefix for all these modes. Also, there is a checkbox 'cancel workflows on termination date' to allow cancellation of workflow on termination date.