Freshteam to Qlik Sense

Automatically Export & Sync Freshteam Data to Qlik Sense

Freshteam
a black arrow pointing to the right
Qlik Sense
Conjuntos de datos completos
No se necesitan instrucciones
Sin código
Sin diagramas de flujo complicados
Sin desencadenantes
Se configura en menos de 3 minutos
Flat pricing starting at $19 /month

Conjuntos de datos

Employees-All
JobPostings-All
Roles-All
Timeoffs Last X
Date Rangable

Información adicional

This service is designed to help anyone continuously export (i.e. "sync") bulk data from Freshteam.

If you only need to export your data one time, check the website of Freshteam to see if their service offers a one-time export feature natively. Sometimes a Data Source's native export feature may provide not as much data as its API does, in which case Flatly is the solution.

Additional Information

Flatly uses official API channels to provide an integration with Freshteam.
Freshteam is a cloud-based HR and applicant tracking solution offered by Freshworks.
Scopes

Flatly's access to Plaid and Plaid's downstream connected financial institutions is read-only access to text. It is limited to account data (words, numbers, dates). It does not include any money-movement, transfer capabilities or account holder profiles/identities.

Plaid alone interfaces directly with financial institutions, caches data from those institutions on Plaid infrastructure, and then makes the appropriate scoped subset of that data available to partners like Flatly using secure connections called client libraries.

Qlik Sense reads flat files directly from Google Sheets, Google Cloud Storage or Google Drive.

Formatos de archivo

Integration Flow

Setup

Step 1

Select Freshteam from the Data Source dropdown and Qlik Sense from the Data Destination dropdown.

Step 2

Authorize Freshteam with your credentials using the flow.

Step 3

Authorize Qlik Sense with your credentials using the flow.

Step 4

Select your Data Set from the 4 Data Sets available using the dropdown.

Step 5

Click Flatten to sync your data.

Vídeo tutorial

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