Import your Mews data to Google BigQuery

How to load data from Mews Systems to Google BigQuery

Easily load your Mews data into your Google BigQuery

With Blendo Mews integration, it is easy to import Mews data into your Google BigQuery to get more insights about your property management system. Drill down to your hospitality data and see how your properties perform, reservation statistics and what you can do to improve it. Combine it with other data sources and discover how your operations affect your business metrics or how marketing and sales data give you better insights on your customers and how you can improve your metrics.

Use Cases

As soon as your Mews data is synced into Google BigQuery here are some ways you can use it.

STATISTICS

Collect and Analyze data from the bookings, customers and timelines for your listed property.

Learn your Customer

How do marketing and sales affect the guest experience?

BUSINESS REPORTING

Discover how your operations affect your business metrics when combined with data from accounting, sales or support.

How to get started with Mews and Google BigQuery data integration

Loading your Mews data into Google BigQuery is easy. First, you need to connect Google BigQuery as a Destination data warehouse. Then add Mews as a Data Source. It will take three minutes to set it up. Next, Blendo will import any information from Mews and load it into your Google BigQuery data warehouse.

Connect Google BigQuery

Connect Google BigQuery

Connect Mews as Data Source

Connect Mews as Data Source

We will load all your Mews data

We will load all your Mews data

Read more on how you can use your Mews data after you have them in your data warehouse.

Read more about Mews Integration

Detailed Documentation

Check our documentation on how to setup Mews integration as a Data Source and start syncing your transactional email data to Google BigQuery.

Check our documentation on how to connect Google BigQuery as a Data warehouse destination and start loading your data in minutes.