Test Data Management
We deliver intelligent solutions for securing, designing, discovering and creating test data which is ‘fit for purpose’.
We can design, find and craft fit for purpose test data – or synthetically create data where none exists. At the core of our solution is a complete, end-to-end Test Data Management solution, providing the flexibility and functionality required to secure, manage, find, make and design ‘fit for purpose’ test data, ‘shift left’ testing, mitigate risk and reduce the time-to-market of high quality, valuable software.
Blue Turtle offer a solution for all phases of test cycles and testing endeavours, including:
- Data sub-setting and masking
- Data profiling and test matching
- Definition of project requirements
- A test data warehouse and test data on demand
Understand your Data
Better testing requires you to better understand your data. How is the data related? What data is needed? What is the coverage? Datamaker™ uses a mathematical, systematic approach to provide a clear picture of the data model and how the data is related, as well as any gaps in your test coverage.
Large, complex systems often lack full documentation. Interactively trace through the data model with GTDiagrammer™ to easily understand how the data is related, even without domain knowledge. Knowing what data exists and where it is located allows you to better define the length of Agile sprints.
Production data typically provides 10-20% of the functional coverage needed to rigorously test an application. Datamaker™ quickly identifies the gaps in the data and displays them graphically. This allows you to understand your test data and what you need to make to perform more effective testing. (Source: www.grid-tools.com)
Test Data Generation
The world’s most powerful test data generation engine, Datamaker™ gives you the power to provision high quality, secure data for better software testing. Using synthetic data creation, Datamaker™ allows you to easily generate fit for purpose test data from scratch, reducing the costs related to more rigorous testing.
Using production data in testing is expensive, inefficient and risks exposing sensitive data. It also typically provides poor coverage (10-20%). Based on a picture of how the data is related, synthetic data lets you quickly generate smaller, more intelligent data sets which provide maximum coverage.
Synthetic test data generation reduces the time wasted by manually searching for or creating test data by 50%. It also lets you enhance existing data sets or creating missing data. Better test data, driven by requirements, allows you to shift left testing, detect defects earlier and improve the quality of testing. (Source: www.grid-tools.com)
Organisations are looking for more effective ways to manage Agile data. Up to 20% of the software development lifecycle (SDLC) is lost when manually searching large, complex systems for the right data. Delivering fit-for-purpose test data to the right place, at the right time, allows IT to shift testing left, cut costs, detect defects earlier in development and reduce the time-to-market of valuable software.
Datamaker™ is based on the innovative concept of the Test Data Warehouse, a central repository in which you can store, enhance and manage Agile data. Data can then be requested via a web-based, self-service portal – Test Data on Demand™ – and delivered across multiple teams and projects, in parallel.
Building a central, graphical library of interesting data, mined from multiple systems, reduces the time spent looking for data by up to 50%. The Test mart provides a one-stop shop for developers and testers to quickly access and reserve the data they need. The complete test data management solution, Datamaker™ removes the constraints to provisioning fit for purpose data within Agile environments.
Provide effective mainframe solutions powered by Datamaker™, the complete test data management system. Remove constraints to maintaining, improving and supporting legacy and mainframe systems.
Maintaining and managing large copies of mainframe and legacy platforms can be prohibitively expensive. Migrating full copies into development requires significant investment. However, extracting and securing subsets of data from mainframe platforms is no easy task. The data is often into proprietary formats to be treated, which is costly and increases the risk of exposing sensitive data.
Complex data structures are also often poorly understood. As personnel move on and documentation becomes out-of-date, it becomes harder for teams to understand how the data is related across multiple systems. This makes it difficult to find and extract the right data for testing. It also makes it difficult to mask the data consistently across the enterprise with realistic, meaningful masked values.
Datamaker™ provides a market-leading range of mainframe solutions designed to help you manage, profile, mask and subset, and create fit for purpose test data on the mainframe. Supporting z/OS on DB2, DB2 UDB, DB2/AS400, VSAM, ISAM and IMS – as well as non-indexed flat files – Datamaker™ allows you to utilise the complete test data management solution to support your legacy systems. (Source: www.grid-tools.com)
No matter what software projects you are running, Datamaker™ provides best of breed test data management solutions designed to improve development and testing practices throughout the SDLC.
The integration of the business units is driving IT to adopt new technologies in order to reduce costs and deliver software solutions earlier. Application migration projects are large, complex and expose the business to risk and downtime; significantly disrupting core services. However, legacy systems are typically poorly documented and understood, making it challenging to access the right data for testing.
Good test data is invaluable to development, testing and QA teams. Yet, in many organisations, understanding, accessing and creating the data you need is a challenge that is, for the most part, solved with inefficient manual methods and in-house technologies. These processes are time-consuming and inconsistent, creating critical delays, spiralling costs and the risk of system failures.
Datamaker™ is the complete end-to-end test data management (TDM) solution, providing market-leading functionality for understanding, designing, finding, making and managing fit for purpose test data. As part of a centralised test data delivery service, Datamaker™ lets you standardise and improve existing practice with a fully scalable solution that can be used to future-proof your TDM strategy.
Core practical applications include:
- Securing Test Data
- Outsourcing Software Projects
- Implementing Software Automation Testing
- Application Migration
- Testing Banking Applications
- ALM Quality Center Integration
- Healthcare Software Projects
- Support Legacy Systems
Delivering fully tested systems is vital for everyone involved in the development process, even though end-goals may differ. CIOs, for example, want to deliver high quality software as soon as possible, whilst reducing costs and risk; a test automation expert, on the other hand, may want to focus find and provision the right data for testing.
With the market leading Test Data Management software, we have all types of user in mind. To perform high quality, efficient test cycles, test teams need to be working with test data that offers >90% functional coverage. By creating a set of visual, unambiguous requirements testing teams are able to fully understand what functionality needs to be tested, and what data is needed to fulfil those test cases.
Whether you are building and testing new applications, re-engineering systems or migrating applications to the Cloud, everyone in an IT department needs to be able to quickly respond to changing requirements. By provisioning ‘fit-for-purpose’ test data to the ‘right’ place, at the ‘right’ time, test cycles can be accelerated and improved.
By using Grid-Tools solutions you’ll be able to better align with the needs of your business: improving efficiency, reducing costs and accelerating the delivery of valuable, quality software.
Why Use Grid-Tools?
- Find the right test data, faster
- Test Data Mining Tool from Grid-Tools, mine data from disparate systems and match to your tests
- Creating a gold copy database
- Step by step strategy to build coherent and useful test databases for your developers and testers
- Storyboard your process
- Ensure clarity of vision with Agile Designer- a flowchart tool with a purpose
- Create & Innovate
- Generate synthetic test data to use in non-production environments
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