Mitel Micontact

Dataddo's Mitel Micontact connector enables simple API data extraction without writing a single line of code.

Automatic Data Synchronization

Our Mitel Micontact connector gives you the ability to sync your data automatically in hourly, daily, weekly, or monthly increments.

Available Endpoints

All available endpoints from the Mitel Micontact API are listed here

Creating a Mitel Micontact Data Source

To create a Mitel Micontact data source, navigate to Sources at the top left of the Dataddo app.

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Then click on New Sources from the top right corner.

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From the list of connectors, choose the Mitel Micontact connector.

search

You will be redirected into the Mitel Micontact connector where you can select the required Dataset. If you are not sure which Dataset you need, but you, for example, know which metrics and attributes you are looking for, you can use the Search by name or attribute function on the right or you can browse through all the possible attributes and metrics for each Dataset by clicking on the right arrow Show attributes of each dataset.

dataset

Once you select a Dataset, you can start with the configuration by clicking on Start Configuration. First of all, you will need to give Dataddo authorization to connect with your Mitel Micontact account. 

configure account

Once you click on Authorize, you will be redirected to a new window to fill in information about your Mitel Micontact account's Username, Password, and Server URL.

accountconf

If you happen to have any Mitel MiContact accounts already connected to Dataddo, you can select the one you would like to use from the drop-down menu. 

account

Next, you can name your data source, and select the required attributes.

attributes

On the snapshotting page, you will set up the destination configuration. To help you with the snapshot mapping, you can select from two pre-configured templates depending on your planned destination.

  • Click on the option "Dashboarding App" if you want your data to connect to applications, like Google Data Studio, Power BI, or Tableau.
  • Click on the option "Data Warehouse", If you want your data to be sent to warehouse storage, like MySQL, Big Query, or PostgreSQL.
  • If you are already experienced with the snapshotting setup, you can go ahead and process without selecting the two options.

snapshotting options

Lastly, configure your snapshotting preferences, choosing Date range (if available), Snapshotting frequency, and Snapshotting retention. 

snapshotting configuration

Click on See Preview to review your selections before saving the Data Source using the button in the top right corner Save source.

preview

Your new source is now created. You can click on Add source to a flow to bind the source with a flow. To create a flow, check out our Creating a data flow guide.

Visual example

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