השיגו יתרון עצום עם ניהול יעיל של נתוני בדיקות.

העצימו את הארגון שלכם כדי להבטיח את היעילות, הדיוק והאמינות של תהליכי בדיקת תוכנה על מנת לשפר את האיכות הכוללת של מוצרי התוכנה שלכם.

שוחחו עם מומחה

איך אנחנו יכולים לעזור

חוללו מהפכה בפרויקטי התוכנה שלכם באמצעות פתרונות אסטרטגיים לניהול נתוני בדיקות.

הגדירו מחדשאת נוף הבדיקות על-ידי שילוב חלק של מערכי נתונים מדויקים ומגוונים, מיטוב ניצול המשאבים ושיפור הדיוק של תרחישי בדיקה.

Fast test data provisioning using integrated test data management solutions.
Data coverage of more than 90% with our hybrid test data management solution.
Test data self-service access Self-service access for all data consumers powered by GenAI.
Compliance with continuously evolving Privacy Regulations using synthetic data.

בנו בסיס איתן להצלחה באמצעות ניהול נתוני בדיקות אפקטיבי.

קבלו ניהול נתוני בדיקות יעיל, יציב ומאובטח לביצוע בדיקות ללא כל הפרעה.

חשבו מעבר לקופי של פרודקשן

Don’t settle with gold copy-based solutions, modernize your approach with synthetic data, GenAI, virtualization, and containerization.

אפשרו שירות עצמי

Improve the experience of data consumers by enabling on-demand data services through NLP-driven data searches. Incorporate AI into data profiling, reservation, and generation at any time and from any location.

חסכו זמן והגבירו את הפרודוקטיביות

With on demand test data, improve the productivity of your automation teams by up to 40% and enable integration with DevOps pipelines.

הפחיתו סיכון לדאטה

Mitigate or permanently eliminate sensitive data from unsecured lower environments through privacy centric solutions like PII detection using AI algorithms.

הפתרונות שלנו

בדקו נתונים שמנצחים בפעם הראשונה, בכל פעם

הבטחיו זמינות של נתונים מגוונים, לפי דרישה וממש בקצות אצבעותיכם.

נתונים סינתטיים מבוססי AI

Create synthetic data twins that resemble real-world data, augment with missing data for uncommon or novel system scenarios.

TDM משולב

הגישה המקיפה שלנו לניהול סביבות כוללת את תהליכי ההגדרה, קביעת התצורה, קביעת לוחות הזמנים וניהול התמיכה של סביבות בדיקה.

נתוני בדיקה בשירות עצמי

Provision test data for business, developers, testers, test environment managers and automation engineers using TDM Portal & TDM APIs.

פייפליין נתונים וירטואליים

Ephemeral data infrastructure and swapping/restoring datasets with each test cycle using Data Virtualization and CICD pipelines.

פרטיות כברירת מחדל

Inbuilt data privacy protection using Deep Learning based anonymization techniques and inspect for sensitive data exposure to maintain adherence with privacy regulations.

מערכת האקולוגית חדשנית של שותפים

Partnership with Industry leading solutions for test data management, synthetic data, virtualization, and test data automation.

היכולות שלנו

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ספרו לנו מה הצרכים והדרישות שלכם ונתאים לכם פתרון שיהפוך את חייכם לקלים יותר.

תובנות מרכזיות

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 Explore new insights. See tangible outcomes.

מאמר טכני

Test Data Management: An Overview

Efficient management of data used for testing is essential to maximizing return on investment and supplementing the testing efforts for the highest levels of success and coverage. If the data used in testing does not promote ease of use and adaptation, poorly represents the sampled source, or consumes excessive resources for preparation and maintenance, a negative impact on the desired outcome quickly manifests and continues to degrade the quality of results. To balance in favor of positive results and improved returns, consider the process, potential challenges, and possible solutions involved in TDM.

ניהול סביבות בדיקה

5 דקות

בלוג

Modernizing Test Data Management for Healthcare Claims (X12 Standards)

In recent times, the landscape of healthcare has witnessed a significant paradigm shift, particularly in the realm of customer experience. In this blog we cover how this transformative approach has streamlined processes in healthcare data management.

Healthcare Test Automation Test Environment Management

3 דקות

בלוג

Challenges in Traditional Test Data Management: A Call for Modernization

In the rapidly evolving landscape of applications and data processing, the traditional approach to managing test data no longer aligns with the continuous, dynamic flow of information across diverse domains.

Continuous Testing Data Validation Test Data Management Test Environment Management

4 דקות

דברו עם מומחה

רוצים לדבר עם מומחה לניהול נתוני בדיקות?

רק תשאלו.

שאלות נפוצות

Here are some frequently asked questions about test data management.

Why is test data management important?

Test data management is vital in software development and quality assurance because it ensures that testing processes accurately simulate real-world scenarios, enabling the identification of bugs, vulnerabilities, and performance issues before deployment. Furthermore, it addresses data privacy and security concerns by securely handling sensitive information, thus safeguarding individuals’ privacy and protecting proprietary business data.
It also facilitates compliance with regulatory requirements such as GDPR and HIPAA through controlling access to sensitive data and ensuring proper usage. Additionally, effective test data management enhances efficiency by providing testers with the appropriate data at the right time, reducing testing cycles and accelerating time-to-market. In addition, it enables data reusability across different testing scenarios and environments, saving time and resources while maintaining consistency in testing procedures and results. Ultimately, test data management mitigates risks associated with inaccurate test results, ensuring the reliability, accuracy, and success of software testing processes.

What is the difference between QA and test data management?

Quality Assurance (QA) and Test Data Management (TDM) are both integral components of software development, but they serve distinct purposes within the process. QA focuses on ensuring that the overall quality of the software meets the desired standards and specifications. This involves activities such as defining quality metrics, establishing testing processes, and overseeing the entire testing lifecycle to detect and address defects and issues. On the other hand, Test Data Management specifically deals with the handling, provisioning, and manipulation of data used in testing environments. It ensures that the test data accurately represents real-world scenarios, is securely managed to protect privacy and confidentiality, and is effectively utilized to support testing efforts. While QA oversees the entire quality aspect of software development, including testing, Test Data Management is a subset of QA, focusing specifically on managing the data used in testing processes to ensure their efficiency and effectiveness.

Why choose Qualitest for test data management?

Qualitest provides expert, comprehensive, and innovative test data management solutions, with a focus on automation, to ensure efficient software delivery at a cost-effective price. Qualitest’s experienced professionals and cutting-edge QA solutions deliver high-quality results for your software testing needs.

ראו גם: בדיקות של יישומי SAP, בדיקות של MS Dynamics.