What is BMC Compuware Topaz for Enterprise Data?

Imagine vast collections of data objects, understanding their relationships, and optimizing data retrieval methods to create optimal testing datasets. Assess files, regardless of their placement across different LPARs, to improve the ability to quickly and consistently evaluate the impacts of your changes. Simplify the complex data management and preparation processes for testing, enabling developers and test engineers to perform data-related tasks without having to write code, use SQL, or rely on multiple tools. Encourage autonomy among developers, test engineers, and analysts by supplying data as needed, which reduces reliance on subject matter experts. By enhancing testing scenarios, the quality of applications is raised, as it becomes easier to produce thorough data extracts for testing while accurately identifying the consequences of modifying specific data elements. Consequently, the entire testing process becomes more efficient, fostering stronger software development and paving the way for innovative solutions in data handling. This transformation ultimately leads to a more agile and responsive development environment, allowing teams to adapt quickly to changing requirements.

Screenshots and Video

BMC Compuware Topaz for Enterprise Data Screenshot 1

Company Facts

Company Name:
BMC Software
Date Founded:
1980
Company Location:
United States
Company Website:
www.bmc.com/it-solutions/bmc-compuware-topaz-for-enterprise-data.html

Product Details

Deployment
SaaS
Training Options
Documentation Hub
Webinars
Video Library
Support
Standard Support
24 Hour Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

BMC Compuware Topaz for Enterprise Data Categories and Features

Data Visualization Software

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery