No-code pipeline · Movidesk → BigQuery

Send data from Movidesk to BigQuery

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From Movidesk to BigQuery: managed, scheduled, no code.

Kondado provides a direct integration between Movidesk and BigQuery, replicating support ticket data, client information, and satisfaction survey responses to your data warehouse on a configurable schedule without requiring technical setup or manual file exports.

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Replicate Movidesk Data to BigQuery Automatically

Connecting your support system to your analytics infrastructure requires no coding when you use Kondado. Simply select Movidesk as your data source, choose BigQuery as the destination, and pick the specific pipelines containing your ticket information, client records, and survey data across 164 available fields. The platform handles the data extraction and loading automatically, updating your datasets on a configurable schedule ranging from every five minutes to daily intervals, ensuring your analytics reflect current operations.

Once your Movidesk data lands in BigQuery, you can build comprehensive reports analyzing ticket resolution times, agent performance, and customer satisfaction trends. Combine your support metrics with sales data from CRM systems or financial information from accounting platforms to create unified dashboards that drive operational efficiency and improve customer experience strategies.

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The Tickets pipeline captures every support request with fields like protocol and system status, enabling you to calculate average resolution times and identify bottlenecks in your workflow. Combine this with the Ticket Actions pipeline to analyze exactly when status changes occur and how long tickets spend in each stage of your process. The Satisfaction Survey Responses pipeline brings customer feedback scores directly into BigQuery, allowing you to correlate service quality metrics with specific agents, ticket categories, or time periods to pinpoint exactly where your support operations excel or need improvement.

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Replicated to BigQuery

Movidesk data available for BigQuery

Tables Kondado writes into your BigQuery, on a schedule you control.

available pipelines

164

extractable fields

BigQuery

Destination

Available integrations

Ticket Actions

Records actions taken on tickets, including fields such as id, protocol, and origin, enabling analysis of interactions and workflows.

Custom Ticket Fields

Contains information about custom fields in tickets, allowing the inclusion of specific data such as type and value, adapting to user needs.

Ticket Clients

Lists clients associated with tickets, including fields such as id, businessname, and cpfcnpj, facilitating user identification and analysis.

Ticket Owners

Identifies the owners of tickets, with fields such as persons_id and name, allowing efficient management of responsibilities and assignments.

Satisfaction Survey Questions

Stores questions used in satisfaction surveys, allowing feedback analysis with fields such as id and question.

People

Contains information about people, including fields such as id, persontype, and username, facilitating contact and user management.

Satisfaction Survey Responses

Records responses provided in satisfaction surveys, with fields such as id, persons_id, and response, allowing feedback analysis.

Tickets

Stores information about tickets, including fields such as id, protocol, and systemstatus, allowing tracking and management of requests.

Parent/Child Tickets

Defines the relationship between parent and child tickets, with fields such as id and relationship_id, facilitating the management of ticket hierarchies.

See all available data → Send Movidesk to BigQuery →

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How to send Movidesk data to BigQuery

Sync data automatically — no code, no manual exports.

Connect Movidesk Account

Authenticate your Movidesk instance by entering your API credentials into Kondado's data source configuration panel. The platform validates your connection and identifies all available pipelines including Tickets, Ticket Actions, and Satisfaction Survey Responses.

Configure BigQuery Destination

Select BigQuery as your destination and specify the dataset where your Movidesk information should reside. You can choose an existing project or create a new dedicated dataset for your support analytics.

Select Pipelines and Schedule

Choose the specific pipelines you need from the nine available options and set your preferred update frequency ranging from five minutes to daily. Once activated, Kondado begins replicating your selected Movidesk data to BigQuery automatically according to your schedule.

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Send data from Movidesk to other destinations

Movidesk > Looker Studio

Movidesk > Power BI

Other visualizations

Movidesk > Amazon S3

Movidesk > BigQuery

Movidesk > Excel

Movidesk > Google Sheets

Movidesk > MySQL

Movidesk > PostgreSQL

Movidesk > Redshift

Movidesk > SQL Server

Choose a tool to visualize your Movidesk data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Movidesk > Airtable

Movidesk > Alteryx

Movidesk > Amazon Quicksight

Movidesk > BIMachine

Movidesk > Cortex

Movidesk > Data Studio

Movidesk > Geckoboard

Movidesk > Grafana

Movidesk > IBM Cognos Analytics

Movidesk > Klipfolio

Movidesk > Looker Studio

Movidesk > Looker

Movidesk > Looqbox

Movidesk > Metabase

Movidesk > Microstrategy

Movidesk > Pentaho

Movidesk > Power BI

Movidesk > Qlik Cloud Analytics

Movidesk > Qlik Sense

Movidesk > Qlik

Movidesk > QlikView

Movidesk > Redash

Movidesk > Superset

Movidesk > Tableau

Movidesk > BI TOTVS

Movidesk > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Movidesk data to BigQuery automatically

How do I connect Movidesk to BigQuery without coding? ▼

Kondado offers a no-code solution where you authenticate your Movidesk account and select BigQuery as your destination. The platform manages the technical complexity of API connections and data transformation automatically. You simply choose which pipelines to activate and define your update schedule through an intuitive interface.

What Movidesk data can I replicate to BigQuery? ▼

You can replicate nine distinct pipelines including Tickets, Ticket Actions, Ticket Clients, and Satisfaction Survey Responses. This covers complete ticket histories, custom field values, client details, agent assignments, and customer feedback data. The 164 available fields let you analyze everything from basic ticket metadata to complex parent-child ticket relationships.

How often does Movidesk data update in BigQuery? ▼

Kondado updates your data on a configurable schedule that you control, with options ranging from every five minutes to daily intervals. You select the frequency when setting up each pipeline based on your analytics needs. Near-real-time updates ensure your support dashboards reflect current ticket statuses without manual refreshes.

Can I combine Movidesk data with other sources in BigQuery? ▼

Yes, BigQuery serves as a central repository where Movidesk support data can join information from CRM systems, billing platforms, or marketing tools. You can create unified reports showing how support ticket volume correlates with sales cycles or customer churn. This multi-source analysis provides context that isolated help desk metrics cannot offer.

What format does Movidesk data take in BigQuery? ▼

Each pipeline becomes a separate dataset in BigQuery with structured records containing the specific fields from your Movidesk account. Standardized schemas ensure that ticket IDs, timestamps, and custom fields arrive in query-ready formats. This structure allows you to write SQL queries immediately without additional data cleaning or transformation steps.

How do I track agent performance using Movidesk data in BigQuery? ▼

The Ticket Owners pipeline provides agent identification data while Ticket Actions records every status change and assignment. By joining these datasets, you can calculate metrics like average handle time, first-contact resolution rates, and ticket reassignment frequency. Build custom dashboards in Looker Studio or Power BI to visualize individual and team productivity trends.

Can I analyze parent and child ticket relationships in BigQuery? ▼

The Parent/Child Tickets pipeline specifically captures hierarchical relationships between linked tickets, including relationship IDs that connect primary requests to follow-up tasks. This allows you to analyze complex support scenarios where issues spawn multiple sub-tasks or related incidents. Understanding these connections helps you identify systemic problems that generate repeated ticket families.

Try out all the features for free for 14 days

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Try out all the features for free for 14 days