TalentLyft to Microsoft Power BI

Automatically Export & Sync TalentLyft Data to Microsoft Power BI

TalentLyft
a black arrow pointing to the right
Microsoft Power BI
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

Candidates
Employees
Events
Jobs

Información adicional

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

If you only need to export your data one time, check the website of TalentLyft 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 TalentLyft.
TalentLyft is the most complete recruitment software in the world.
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.

Opening CSV or XLSX in PowerBI

The cloud version of PowerBI reads XLSX or CSV files directly from OneDrive for Business. On the "Create" panel select either file format presented in the center of the screen. Then click Browse OneDrive.

PowerBI reads CSV or XLSX files directly from OneDrive for Business.

Formatos de archivo

Integration Flow

Setup

Step 1

Select TalentLyft from the Data Source dropdown and Microsoft Power BI from the Data Destination dropdown.

Step 2

Authorize TalentLyft with your credentials using the flow.

Step 3

Authorize Microsoft Power BI 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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