Stop Preparing Test Data. Start Testing.
Get the exact data you need, in the right state, without spending hours building it.
Stop wasting time setting up test data or executing entire workflows just to reach the scenario you need to validate. Cycle Data sources, generates, and delivers complex test data directly into your target system, ready for testing at any point in a business process.
Spend less time preparing data and more time proving your systems work.
Skip manual setup and start testing exactly where you need to
Source and generate test data across disparate systems
Cleanly remove test data when testing is complete
Test Data Built for the Way You Actually Test
What Is Cycle Data?
Cycle Data simplifies test data preparation by sourcing, generating, and positioning data in the exact state needed for testing, without requiring teams to execute the workflows that normally precede it.
Whether you’re validating an order at a specific processing stage, preparing inventory for a warehouse scenario, or setting up data for user acceptance testing, Cycle Data helps you skip the tedious manual preparation and get straight to validation.
Built to work across enterprise applications, Cycle Data supports automated testing, exploratory testing, user acceptance testing, and hands-on user training. Teams can create data for individual scenarios or larger testing initiatives, then cleanly remove it when testing is complete.
Less time creating test data. More time finding what matters.
How Cycle Data Works
Describe It. Generate It. Test It.
Tell Cycle Data what you need in plain language. It constructs and delivers the right data, ready for testing, without manual setup or lengthy workflow execution.
Go from describing a test scenario to testing it, without the setup headache.
1. Describe
Define the data state you need using natural language. Specify an order status, inventory condition, workflow stage, or business process scenario.
2. Construct
Cycle Data sources, generates, transforms, and delivers the data directly into your target system using SQL, MOCA, REST APIs, or flat files. Your test data is ready in the exact state you specified.
3. Reset
When testing is complete, cleanly remove the generated data and return the system to its original state.
Test where you mean to, not just where the system allows you to get.
Connect to Data Wherever It Lives
Different Systems. Different Data Sources. One Way to Prepare for Testing.
Enterprise data doesn’t live in one place, and your testing shouldn’t depend on it.
Cycle Data can source, transform, and deliver test data across disparate systems using SQL, MOCA, REST APIs, and flat files. It can also generate EDI and other file-based integration data using your existing templates, populated with values from your test scenarios.
Whether your testing requires transactional records, core business data, or configuration data, Cycle Data helps you create the conditions needed to validate your processes without manually assembling everything first.
”Before Cycle, the potential effects of updates or changes could only be seen in the production environment, when it’s too late to adjust. Cycle gives us the edge and advantage we need to perform our best and ensure successful events for our customers.
Scott PelanceCEVA Logistics
Spend Less Time Setting Up Tests. More Time Running Them.
Core Capabilities of Cycle Data
Test data preparation shouldn’t consume more time than the testing itself. Cycle Data removes repetitive setup work so your team can focus on validating business processes and finding issues before they become bigger problems.
Skip the Steps That Come Before the Test
Start testing at a specific point in a business process without executing every preceding workflow step just to get there.
Eliminate Repetitive Data Preparation
Generate the data you need for each scenario instead of manually creating records, adjusting values, or rebuilding data after a test.
Support More Ways to Test
Prepare data for automated testing, exploratory testing, UAT, and hands-on training without tying data creation to a single testing method.
Keep Test Environments Clean
Remove generated data when testing is complete, reducing leftover records and the effort required to prepare for the next round.
Test More Scenarios with Less Effort
Spend less time preparing test conditions so your team can dedicate more time to test coverage, exception handling, and system validation.
Frequently Asked Questions
What is Cycle Data?
Cycle Data is a test data solution that sources, generates, and delivers data in the exact state needed for testing. It eliminates repetitive data preparation, allowing teams to start testing at any point in a business process without executing the preceding workflow steps. Built to work across enterprise applications, Cycle Data supports a wide range of test data needs.
What kinds of testing and training does Cycle Data support?
Cycle Data supports automated and manual testing, including exploratory testing, visual validation, and user acceptance testing (UAT). It also helps teams prepare data for hands-on training and onboarding in shared test environments.
Do we have to run a full workflow to get test-ready data?
No. Cycle Data prepares test data in the exact state needed for a specific point in a business process. Whether you’re testing an order exception, inventory condition, or workflow stage, you can skip the preceding steps and start testing where you need to.
Where can Cycle Data source and deliver test data?
Cycle Data can source, transform, and deliver data across disparate systems using SQL, MOCA, REST APIs, and flat files. It can also generate EDI and other file-based integration data using your templates, populated with values from your test scenarios.
Do we need to write scripts to use Cycle Data?
No. You can describe the data state you need in plain language, and Cycle Data constructs and delivers it. It can be used through conversational interfaces, coding agents, or Cycle Feature files, so teams aren’t limited to a single way of preparing test data.
What happens to the data when testing is finished?
Cycle Data supports testing and training within a defined usage window. Once testing is complete, generated data can be cleanly removed, helping teams reset their test environments and prepare for the next round of testing.
How does Cycle Data compare to creating test data manually?
Manual test data preparation often requires teams to create records, execute workflows, and repeatedly rebuild data between tests. Cycle Data automates much of that work, reducing setup time, minimizing human error, and giving teams more time to focus on test coverage and validation.
Does Cycle Data only work with Blue Yonder WMS?
No. Cycle Data is built on an application-agnostic framework that can support different enterprise systems. While its current context library is designed for Blue Yonder, teams can develop Cycle Data assets to support test data preparation for other applications.
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Stop Setting Up Tests. Start Getting Answers.
How much time does your team spend preparing test data before testing can even begin?
See how Cycle Data can eliminate repetitive setup, deliver data in the exact state you need, and help your team get more testing done with less effort.
