Namely to Data Studio

Automatically Export & Sync Namely Data to Data Studio

Namely
a black arrow pointing to the right
Data Studio
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

Profiles

Información adicional

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

If you only need to export your data one time, check the website of Namely 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 Namely.
Namely is a United States-based human resources software company, founded in Greenpoint, Brooklyn on January 17, 2012
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.

Connection

Opening a CSV file from Google Cloud Storage in Looker Studio is straightforward and takes only a few clicks. Importantly, a CSV file can be larger than 10 million cells, whereas a Google Sheet is limited to 10 million cells.

Looker Studio reads flat files directly from Google Cloud Storage.

Formatos de archivo

XLSX (Parsed)
XLSX (Raw)
CSV File

Integration Flow

Setup

Step 1

Select Namely from the Data Source dropdown and Data Studio from the Data Destination dropdown.

Step 2

Authorize Namely with your credentials using the flow.

Step 3

Authorize Data Studio with your credentials using the flow.

Step 4

Select your Data Set from the 1 Data Sets available using the dropdown.

Step 5

Click Flatten to sync your data.

Vídeo tutorial

Fuentes de datos ampliadas

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