Date: | March 3rd, 2015 |
Time: | 9.30 am – 12.15 pm |
Location: | Swissotel Le Plaza Messeplatz 25 4005 Basel |
Agenda TDM Roadshow - Basel
08:30 – 09:30 | Registration, Coffee |
09:30 – 10:15 |
The Test Data Management Challenge Robert Bonomo, Swiss Country Head of Quality Engineering and Assurance Practice, Cognizant |
10:15 – 11:00 |
"Zielbild Test" - Test data for DEVK Thomas Prang, Head of Central Test Management & Project Portfolio Management, DEVK Versicherungen |
11:00 – 11:15 |
Coffee Break |
11:15 – 12:00 |
Efficient test data provisioning with a clear conscience Wolfgang Epting, ILM Subject Matter Expert and Product Specialist, Informatica |
12:00 – 13:00 |
Lunch |
13:00 – 13:30 |
Q&A |
With the constant growth in the number of applications and related databases, today's businesses are faced with challenges resulting in time consuming manual testing efforts, excessive costs and slipped delivery dates. By using the right test data management strategy, QA teams can get one step closer to reliable testing.
Adept experts from Informatica, DEVK Versicherungen and Informatica will share their insights, experience and plans for the future on Test Data Management - mastering the test data challenge!
Program:
The Test Data Management Challenge |
"Zielbild Test" - Test data for DEVK Thomas Prang, Head of Central Test Management & Project Portfolio Management, DEVK Versicherungen With software systems becoming increasingly complex and connected, a central test governance organization as well as system integration testing are becoming more and more important. At the DEVK insurance company the introduction of standard & packaged software increased the need for better integration tests. Adequate test data is key for integration testing. In this presentation the approach and experiences in consistent subsetting and masking of production data for test systems as implemented at DEVK will be demonstrated. |
Efficient test data provisioning with a clear conscience Wolfgang Epting, ILM Subject Matter Expert and Product Specialist, Informatica As big data gets bigger, IT organizations must develop scalable new strategies to mitigate the increased risk of losing control of it. This presentation will discuss how to safeguard data privacy and ensure regulatory compliance by defining and classifying sensitive data, identifying where sensitive data lives across applications and databases, creating data subsets and applying consistent data masking rules across systems. We will also discuss how to measure, monitor, and prove data security. |