What Movidesk data can I extract using Kondado?

You can replicate nine distinct datasets including Tickets, Ticket Actions, Ticket Owners, Ticket Clients, People, Satisfaction Survey Questions, Satisfaction Survey Responses, Custom Ticket Fields, and Parent/Child Tickets. These pipelines contain 164 fields covering ticket protocols, business names, agent assignments, survey responses, and custom field values. This enables comprehensive analysis of your Help Desk and Service Desk operations.

How do I connect Movidesk to Power BI or Looker Studio?

Configure your Movidesk data source in Kondado, select the desired pipelines, and choose Power BI or Looker Studio as your destination. Kondado replicates the data on your chosen schedule, making it available for visualization in your preferred BI tool. No coding or API configuration is required to establish the connection.

What update frequency options are available for Movidesk data?

Kondado updates Movidesk data on a configurable schedule ranging from every 5 minutes to daily intervals. You can adjust the frequency based on your operational needs, ensuring near-real-time visibility for time-sensitive support metrics or daily snapshots for trend analysis. This automation keeps your reports current without manual exports.

Can I analyze Movidesk satisfaction survey results in Google Sheets?

Yes, replicate the Satisfaction Survey Questions and Satisfaction Survey Responses pipelines to Google Sheets for immediate analysis. You can calculate Net Promoter Scores, track response rates over time, and share results with stakeholders using familiar spreadsheet functions. This approach makes customer feedback data accessible to teams without BI tool expertise.

Which databases support Movidesk data replication?

Kondado replicates Movidesk data to BigQuery , PostgreSQL , MySQL, Redshift, SQL Server, and Amazon S3. This flexibility allows you to centralize support data in your existing data warehouse infrastructure for advanced SQL analysis and combination with other business datasets.

How do I track ticket escalation patterns with Movidesk data?

Use the Parent/Child Tickets pipeline to identify hierarchical relationships between initial requests and escalated issues. Combine this with Tickets data to analyze escalation rates by category, time to escalation, and resolution outcomes. This helps identify which ticket types require supervisor intervention and optimize your escalation workflows.

Is it possible to combine Movidesk ticket data with client information for analysis?

Yes, replicate both the Tickets and Ticket Clients pipelines to correlate support requests with client business names, CPF/CNPJ identifiers, and contact details. This combination enables segmentation of ticket volumes by customer type, analysis of support costs per client, and identification of high-value accounts requiring priority handling.

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Connect Movidesk Data to Dashboards and Databases

Movidesk stores critical support interactions including ticket protocols, client business names, satisfaction survey responses, and custom field values that capture your unique service categorizations. Through Kondado, you can replicate these Help Desk and Service Desk records to your preferred analytics environment without writing API code. Access detailed ticket actions, owner assignments, and parent-child ticket relationships to analyze your support operations and identify workflow bottlenecks.

Kondado provides direct access to Movidesk through 9 distinct pipelines covering 164 fields. Available data sources include Tickets, Ticket Actions, Ticket Clients, Ticket Owners, People, Satisfaction Survey Questions and Responses, Custom Ticket Fields, and Parent/Child Tickets.

Support managers can track resolution times and agent workload distribution using Ticket Owners and Tickets pipelines to optimize team capacity. Operations teams analyze customer satisfaction trends through Satisfaction Survey Responses combined with Ticket Clients data to identify at-risk accounts. Data analysts build comprehensive service desk reports correlating Custom Ticket Fields with Parent/Child Tickets to understand escalation patterns, track service level agreement compliance, and uncover insights hidden in your Movidesk analytics.

The Kondado platform takes care of refreshing Movidesk data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing Movidesk data in your report, spreadsheet, data warehouse, data lake, or database

Available Movidesk Pipelines

The following Movidesk pipelines deliver granular visibility into your support workflows. Analyze interaction patterns through the Ticket Actions pipeline to identify bottlenecks in your resolution process and track every status change. The Satisfaction Survey Responses pipeline enables measurement of customer sentiment trends and agent performance scores, while Ticket Owners data helps balance team workloads and track individual productivity metrics. Combine Ticket Clients information with Tickets data to segment support requests by customer type, business profile, or CPF/CNPJ identifier. The Custom Ticket Fields pipeline captures your unique categorization schemes and priority markers for specialized reporting.

Merging these datasets creates powerful cross-functional insights, such as correlating satisfaction scores with specific ticket types or tracking how escalation paths affect resolution times through Parent/Child Tickets relationships. With updates running on a configurable schedule from every 5 minutes to daily, your KPIs and service metrics stay current for operational decision-making without manual data exports.

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Available Movidesk data

available pipelines

164

extractable fields

Available integrations

Integration	Description
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.

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 →

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How to visualize Movidesk data in 3 steps

Connect Movidesk to dashboards, spreadsheets, or databases — no code required.

Add Movidesk Data Source

Configure your Movidesk connection in Kondado by entering your API credentials to establish access to your Help Desk and Service Desk data.

Select Pipelines and Destination

Choose from the nine available Movidesk pipelines such as Tickets, Satisfaction Survey Responses, and Ticket Owners, then send your data to Power BI, Google Sheets, BigQuery, or PostgreSQL.

Analyze in Dashboards, Sheets, or Databases

Visualize ticket trends in Looker Studio or Power BI dashboards, manipulate satisfaction data in Google Sheets or Excel spreadsheets, or run SQL queries on your replicated data in BigQuery, PostgreSQL, MySQL, Redshift, or SQL Server database tables.

Try out all the features for free for 14 days