Support categoryCertified by Stitch
Expected Zendesk Support data
Here’s a sample of the raw Zendesk Support data that Stitch will replicate to your analytics warehouse:
This table records all ticket details, including the requester and assignee IDs.
This table contains information about activity associated with a ticket, including status changes and both customer and agent responses.
Groups are how agents are organized in your Zendesk account. The groups table records information such as the gruop ID, URL, name, and creation and update information.
The organizations table records company information about your end-users such as the name, ID, associated domain names, tags, and any custom fields.
This table contains details on end-users and agents, including names and emails.
The tags table contains a list of all the tags in your account.
Learn more about syncing Zendesk Support data
Detailed documentation on how to start syncing Zendesk Support data.
How to extract data from Zendesk Support and load it to Microsoft SQL Server manually.
Jumpstart your Zendesk Support analytics with reusable blocks
dbt packages can speed up your work
Once you replicate your Zendesk Support data with Stitch, you can use it in many ways. For example, you can use the data modeling and transformation tool dbt to prepare data for reporting, analytics, or machine learning applications.
Dbt has prebuilt packages for many Stitch data sources, including Zendesk Support. Here’s a look at code for modeling Zendesk Support data. This particular block of code transforms your Zendesk Support data so you can analyze your ticket metrics.View the source on GitHub →
... or use Looker blocks with your Zendesk Support data
We've developed a Looker Block for Zendesk Support data provisioned by Stitch. This block includes prebuilt code to create dashboards and models that can help uncover insights from your Zendesk Support data.
This Looker Block includes three dashboards that provide analysis on agent performance, ticket submissions, and overall customer support metrics. The LookML file shown here produces an overview dashboard that allows you to view understand ticket submission trends. Other dashboards included in this block are: Overview dashboard - View ticket submissions over time to understand the level at which your customers are leveraging your support team - See the breakdown of ticket submissions by channel to understand where most of your support requests are generated - See your top 20 all-time agents, requesters, and organizations by number of tickets to see identify the key players in customer support - See a ticket tag breakdown over time to understand how customer priorities have shifted Agent performance dashboard - Monitor your support team's all-time reply and resolution time to measure against SLAs - See how your team's response and reply time have fluctuated over time to identify trends and opportunities for improvement or celebration groups and more efficiently manage resources - Identify top performers in your organization Ticket submissions dashboard - Evaluate the volume at which organizations are submitting tickets to identify which organizations are requiring the most attention of your team - Identify how average tickets per organization changes over time to see whether documentation, tutorials, demos, and product changes or releases are taking a load off your team - See ticket submission volume by hour of the day and day of the week to more efficiently allocate resourcesView the source on GitHub →
Simplify your Microsoft SQL Server migration
When it comes to replicating your data to Microsoft SQL Server, conventional ETL is no longer the only game in town.
Writing ETL code requires big investments of time, money, and expertise that might otherwise be used for innovation. Most importantly, newer approaches to data ingestion deliver faster implementation than traditional ETL, so you can produce data analytics and business intelligence more quickly.
This is where Stitch can help.
All your data, where you need it
Give your analysts, data scientists, and other team members the freedom to use the analytics tools of their choice.
Stitch's interface is sleek and efficient. We only know it's running when it sends us alerts; otherwise, it does its job without bother.
Why our customers choose Stitch
Stitch is a simple, powerful ETL service built for developers. Stitch connects to your first-party data sources – from databases like MongoDB and MySQL, to SaaS tools like Salesforce and Zendesk – and replicates that data to your warehouse. With Stitch, developers can provision data for their internal users in minutes, not weeks.Explore all of Stitch's features
- Simple setup
- Start replicating data in minutes, and never worry about ETL maintenance.
- Own your own data infrastructure
- Stitch replicates to your warehouse, meaning you’re always in control.
- Mature replication engine
- Accurate data from any structure, all the time.
Connect to your ecosystem of data sources
Stitch integrates with leading databases and SaaS products. No API maintenance, ever, while you maintain full control over replication behavior.
Amazon Aurora MySQLStandardStitch-certified
Amazon Aurora PostgreSQLStandardStitch-certified
Amazon RDS for MariaDBStandardStitch-certified
Amazon RDS for MySQLStandardStitch-certified
Amazon RDS for Oracle DatabaseEnterpriseStitch-certified
Amazon RDS for PostgreSQLStandardStitch-certified
Amazon RDS for SQL ServerStandardStitch-certified
Amazon S3 CSVStandardStitch-certified
Google Analytics 360EnterpriseCommunity-supported
Google Cloud SQL MySQLStandardStitch-certified
Google Cloud SQL MySQLStandardStitch-certified
Google Cloud SQL PostgreSQLStandardStitch-certified
Google Search ConsoleStandardStitch-certified
Microsoft Advertising (Bing Ads)StandardStitch-certified
Microsoft Azure SQL Server DatabaseStandardStitch-certified
Microsoft SQL ServerStandardStitch-certified
Netsuite Suite AnalyticsStandardStitch-certified
Oracle Netsuite Bronto Marketing PlatformStandardCommunity-supported
Salesforce Marketing CloudStandardCommunity-supported