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SurveyMonkey to BigQuery – Made Easy

6 minutes read

Modified on July 31, 2022

eCommerce

Replicate SurveyMonkey to BigQuery in minutes

SurveyMonkey allows organizations to collect feedback and share insights, so they can provide better experiences to their customers, employees, prospects, and communities. When it comes to understanding and making decisions from your survey responses along with the data from other sources it is necessary to have access to analysis-ready data at any point in a scalable data warehouse like BigQuery. Replicate your SurveyMonkey data to BigQuery in minutes for making better business decisions without wasting your time crunching the data. Make the necessary data available at your analyst’s fingertips to access, analyze, and report this data at scale.

In this article, we will give a brief overview of SurveyMonkey and BigQuery, the importance of integrating your data to BigQuery, and finally two approaches to moving your data from SurveyMonkey to BigQuery.

Why integrate SurveyMonkey to BigQuery

When it comes to understanding and making decisions from your survey responses, SurveyMonkey’s analysis features provide enough analytical data to better understand your customers. But if you’re looking to go beyond Surveymonkey’s analytics, and uncover more insights then integrating your SurveyMonkey data into BigQuery is the right approach. With your SurveyMonkey data streamlined with a high-performance cloud warehouse like BigQuery, you can run anything from complex ad-hoc queries to standard reporting, and easily combine SurveyMonkey’s data with other data sources to take your analysis further and help you grow your business by making better business decisions.

SurveyMonkey Overview

SurveyMonkey is the world’s leading cloud-based survey software to create and run professional online surveys. It helps create surveys, collect responses and analyze survey results. SurveyMonkey presents all the tools necessary for you to create strong, professional surveys easily. With SurveyMonkey, users can email surveys to respondents and post them on their websites and social media profiles to increase the response rate. Users can also run customer satisfaction surveys to get feedback on products and services.

BigQuery Overview

Google BigQuery is a serverless data warehousing platform where you can query and process vast amounts of data. It is fully managed and performs storage optimization on existing data sets by detecting usage patterns and modifying data structures for better results. The best part about it is that one can run multiple queries in a matter of seconds even if the datasets are relatively large in size. BigQuery is a powerful tool for business intelligence and it offers analytics capabilities to organizations of all sizes.

How to replicate SurveyMonkey to BigQuery

Here’s an overview of the two approaches you can use to replicate SurveyMonkey data to BigQuery. This will allow you to evaluate the pros and cons of both and choose the one that best suits your requirement.

Build your own Data Pipeline

This process needs a lot of experience and consumes a lot of time and manpower. The chances of errors are more due to multiple integrated steps to be executed one after the other. You need to extract data using SurveyMonkey APIs & then connect it properly with the BigQuery data warehouse. This whole process to build a custom data pipeline is cumbersome.

Use Daton to integrate SurveyMonkey and BigQuery

Integrating SurveyMonkey and BigQuery with Daton is the fastest & easiest way to save your time and efforts. Leveraging an eCommerce data pipeline like Daton significantly simplifies and accelerates the time it takes to build automated reporting.

Configuring data replication on Daton only takes a few minutes and a few clicks. Your analysts do not have to write any code or manage any infrastructure, yet you can get access to SurveyMonkey data in a few hours.

Daton’s simple and easy-to-use interface allows analysts and developers to use UI elements to configure data replication from SurveyMonkey data into BigQuery.

Daton takes care of:

Authentication
Rate limits
Sampling
Historical data load
Incremental data load
Table creation, deletion, reload
Refreshing access tokens
Notifications

and many more important functions for data analysts to focus on analysis rather than worrying about the data migration.

Steps to integrate SurveyMonkey with Daton

Sign in to Daton
Select SurveyMonkey from the integrations page
Provide Integration Name, Replication Frequency, and History. Integration name would be used in creating tables for the integration and cannot be changed later
You will be redirected to SurveyMonkey log in for authorizing Daton to extract data periodically
Post successful authentication, you will be prompted to choose from the list of available SurveyMonkey accounts
Select required tables from the available list of tables
Then select all required fields for each table
Submit the integration

Here are more reasons to explore Daton for SurveyMonkey to BigQuery Integration

Faster integration – SurveyMonkey to BigQuery is one of the integrations Daton can handle very conveniently and seamlessly. By following few steps you can easily connect SurveyMonkey to BigQuery.
Low Effort & Zero Maintenance – Daton automatically takes care of all the data replication processes and infrastructure once you sign up for a Daton account and configure the data sources. No need to manage infrastructure or write manual code.
Data consistency guarantee and an incredibly friendly customer support team ensure you can leave the data engineering to Daton and focus on analysis and insights!
Enterprise-grade data pipeline at an unbeatable price to help every business become data-driven. Get started with a single integration today for just $10 and scale up as your data needs grow.
Robust Scheduling Options: This allows you to schedule jobs based on their requirements using a simple configuration step.
Support for all major cloud data warehouses including Google BigQuery, Snowflake, Amazon Redshift, Oracle Autonomous Data Warehouse, PostgreSQL, and more.
Flexible loading options allow to you optimize data loading behavior to maximize storage utilization and ease of querying.
Enterprise-grade encryption gives your peace of mind
Support for 100+ data sources – In addition to SurveyMonkey, Daton can extract data from a varied range of sources such as Sales and Marketing applications, Databases, Analytics platforms, Payment platforms, and much more.

Using a fully managed, zero maintenance, and easy-to-use data pipeline like Daton, you can replicate your SurveyMonkey data to BigQuery in a fully automated and secure manner without having your engineering team write and maintain any code.

For all sources, check our data connectors page.

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With the help of the online survey platform SurveyMonkey, companies and individuals can design and run surveys to get feedback and information from clients, staff members, and other stakeholders. It offers a simple user interface for creating surveys, sending them to respondents, and evaluating the findings. Conversely, Google's BigQuery is a cloud-based data warehousing and analytics tool. In addition to offering quick and effective querying capabilities for data analysis, it is built to store and handle enormous volumes of data. BigQuery is capable of storing and processing information from a variety of sources, including SurveyMonkey data. Insights into consumer behavior, staff engagement, and other crucial business KPIs may be gained with valuable cognizance when SurveyMonkey and BigQuery work together. Businesses may analyze and visualize survey data alongside other business data sources using BigQuery by exporting their SurveyMonkey data, which enables a more thorough insight into their operations.

The procedures below may be used to export data from SurveyMonkey to BigQuery. a. The link between SurveyMonkey and BigQuery must first be established. You may visit the SurveyMonkey App Directory and look for the interface with BigQuery. Set up the integration by adhering to the instructions. b. Once the integration is configured, you may utilize an existing SurveyMonkey survey or build a new one. Select the BigQuery integration in the survey settings under the "Integrations" tab. c. Select the information you wish to export to BigQuery. You may choose to view only specific questions or all of the answers. The data can also be filtered according to predetermined standards. d. Configure the export options. The BigQuery project ID, dataset, and table ID must be provided. Additionally, you may select the export frequency and export type (JSON or CSV). (one-time or recurring). e. To export the SurveyMonkey data to BigQuery, click "Export" at the end. You may use BigQuery to analyze the data and learn more about your survey respondents after the export.

There are various advantages to exporting SurveyMonkey data to BigQuery, including: a. A cloud-based data warehouse called BigQuery is the best option for processing and analyzing survey data since it can manage massive amounts of data. You can manage extensive data processing and analysis by exporting your SurveyMonkey data to BigQuery. b. BigQuery enables real-time data analysis, so you can gain insights from your survey respondents as soon as they submit their replies. This enables you to respond quickly to changing market trends, or customer wants. c. Using BigQuery's advanced analytics tools, such as machine learning and predictive analytics, you might be able to spot patterns and trends in the survey data you've collected. You may utilize data to inform your business strategy and decision-making by using these insights.

The steps listed below may be used to leverage BigQuery to analyze data from SurveyMonkey: a. Open SurveyMonkey and select "Export All" from the "Analyze Results" menu to export the survey results in CSV format. b. Start a new dataset in BigQuery via the Google Cloud Console. The CSV file should then be uploaded into a brand-new table inside the dataset using the "Create Table" option. c. To make the data clean and ready for analysis, you should eliminate duplicate replies, change data types, and add new columns. Use SQL queries in BigQuery to finish these tasks. d. Use SQL queries to examine the data and discover new information. For instance, you might generate summary statistics, create infographics, and execute the statistical analysis.

Here are some guidelines for exporting data from SurveyMonkey to BigQuery: When exporting your SurveyMonkey data, use the "Export All" option to guarantee you receive all the survey replies and related information. You may export your data from SurveyMonkey in several file formats, including CSV, XLSX, and JSON. It is advised to utilize the CSV format for BigQuery as it is the simplest to import and analyze in BigQuery. Name your tables and columns consistently to simplify organizing and analyzing your data. You may rapidly determine which tables and columns contain detailed data with this. Adhering to these recommended practices ensures that your SurveyMonkey data is correctly exported and optimized for analysis in BigQuery.