Are you familiar with the benefits of Tableau when added to the Google services ecosystem?

Business Intelligence

Thanks to Tableau’s native connection to Google, we get end-to-end solutions that provide real-time analyses with a stunning level of self-service.


Tableau Google

The power and scalability of Google and Tableau make it possible to offer customers interesting applications based on the latest technologies, such as Big Data, artificial intelligence, and digital marketing as well as attractive digital transformation scenarios in collaborative work environments.

Tableau is able to connect natively to your Google data, in addition to taking advantage of all its innovative services such as Machine Learning or Marketing Analytics, as well as the G Suite collaboration tools.

Google Maps, a powerful system that goes far beyond simply providing maps

One use could be based on the information available on maps and on geolocation. These services, in addition to being used by almost all of us in our daily lives, have become bi-directional: we can interact with them. We are talking about logistics solutions, with predictive technologies applied to, for example: route optimization, suggestions in the retail sector to handle specific promotions for retail outlets, for insurance companies that receive information at large events on weather conditions, for restaurants in relation to home delivery services, etc.

The idea is to make the most of the multidimensional data based on location and apply them in real time, providing information on users.

Tableau can connect directly to Google Maps to establish this two-way relationship. We can analyse metadata available in the maps or integrate geographical data into our Tableau reporting system and dashboards to cross-reference them with other business data.

Make the most of the company’s unstructured data

Another interesting field where you can make the most of Tableau and Google’s cloud-based services is Machine Learning using applications that can leverage real growth for companies today. For example, by doubling the number of decisions based on data, making decisions five times faster, or executing them three times faster, based on a study by MIT conducted in 2017.

Cloud computing allows us to manage huge volumes of data at spectacular processing speeds without the need for us to invest in infrastructure. Companies have up to 90% of unstructured data that are stored and untapped.

Google’s pre-trained models and APIs that can configure customised models allow us to launch solutions with very short deadlines. Among these APIs, the most popular are Speech and Translate. What does Tableau do with this Machine Learning model? By integrating it with Google BigQuery we have end-to-end solutions in real time, in which the capture, processing, storage, and analysis of information are based on native cloud-based services and the power of Tableau’s visual and intuitive front-end.

Integration and self-service in new digital marketing solutions.

In digital marketing, the more connections you can make among the data, the better the understanding you shall have of your customers and their needs. The real difficulty companies come up against is integration. Adding Tableau to Google’s marketing analysis tools (Google Marketing Analytics) will provide new knowledge and facilitate decision making.

In the end, what Tableau does is enable us to collect information more easily, it allows us to manage and share information within and outside the organisation, and it provides analysts with a self-service system, which frees them from their dependence on IT departments.

Our extensive knowledge of both products and business services – both at technical and customer experience levels – places us in a privileged position.

If you are interested in this attractive and powerful combination of technology, we have prepared this webinar in which you will be able to see the advantages of this integration. We shall be displaying geopositioning solutions, marketing with sentiment analysis based on Google’s natural language APIs, or how to make the most of a simple collaborative survey of the attendees.

Would you like to try?


I would like to receive more information