DataVard introduces software for SAP test automation: Test-suite KATE impresses SAP-Community
The test-suite allows testing and management in frontend and basis for SAP ERP and SAP BW landscapes. Specifically designed for SAP systems, this software contains generic test scenarios and predefined steps for dialogue testing. Other than function, integration and regression testing DataVard KATE also automates end-to-end tests. Additionally allowing the solution to address complex and non-homogenous SAP landscapes as well.
First test customers like Nestlé are already benefitting from DataVard KATE. “Feedback reveals our test-suite hit the nail on the head”, shared DataVard CEO Gregor Stoeckler. “Effort and cost is significantly reduced as automated tests generate remarkably higher coverage of reality.”
Implementing a use data analysis, the software determines how the system is actually utilized by its users and illustrates this through HeatMap. In doing so frequently used transactions, most complex data structures and unused transactions can be identified therefore optimizing test coverage. Processes to be tested and test data can automatically be stored for later tests – saving manual testing effort while increasing volume, depth and quality of tests. Automated testing also allows complex scenarios which can be repeated as often as desired without extra effort. Precision scheduling is possible and especially useful in planning tests for weekends when system landscapes are not used and tests can be performed without interruptions.
DataVard KATE is fully ABAP compatible and runs without scripts or additional hardware or software. Both project specific or continued utilization is possible. Via transport request the test-suite allows easy installation and administration in the known SAP system landscape.
DataVard is an international vendor of SAP solutions for Data Management, Information Lifecycle Management (ILM) and System Landscape Optimization (SLO). The software and consulting company supports SAP clients in optimizing performance and stability of their SAP landscape while optimizing resources and costs. DataVard is a Preferred SAP Supplier, SAP Value-Added-Reseller for Data Warehouses and technology as well as an SAP Software Partner. Founded in 1998, DataVard is headquartered in Heidelberg, Germany, with branches throughout Germany, Italy, Slovakia, the UK/Ireland and the US. More information under www.datavard.com or via Twitter, Xing, LinkedIn and Expert Blog.
Phone: +49 6221-87331-0
Fax: +49 6221-87331-10
PR agency: Donner & Doria Public Relations GmbH
Phone: +49 6151-4921342
Fax: +49 6221-58787-39
This release was published on openPR.
Permanent link to this press release:
Please set a link in the press area of your homepage to this press release on openPR. openPR disclaims liability for any content contained in this release.
You can edit or delete your press release DataVard introduces software for SAP test automation: Test-suite KATE impresses SAP-Community here
News-ID: 309277 • Views: 7556
More Releases for Data
HOW TO TRANSFORM BIG DATA TO SMART DATA USING DATA ENGINEERING?
We are at the cross-roads of a universe that is composed of actors, entities and use-cases; along with the associated data relationships across zillions of business scenarios. Organizations must derive the most out of data, and modern AI platforms can help businesses in this direction. These help ideally turn Big Data into plug-and-play pieces of information that are being widely known as Smart Data. Specialized components backed up by AI and
Global Data Analytics Outsourcing Market |data analytics outsourcing, big data o …
Market Research Reports Search Engine (MRRSE) has been serving as an active source to cater intelligent research report to enlighten both readers and investors. This research study titled “Global Data Analytics Outsourcing Market “ The report on data analytics outsourcing market provides analysis for the period 2016 – 2026, wherein 2018 to 2026 is the forecast period and 2017 is the base year. The report covers major trends and technologies playing
Test Data Management (TDM) Market - test data profiling, test data planning, tes …
The report categorizes the global Test Data Management (TDM) market by top players/brands, region, type, end user, market status, competition landscape, market share, growth rate, future trends, market drivers, opportunities and challenges, sales channels and distributors. This report studies the global market size of Test Data Management (TDM) in key regions like North America, Europe, Asia Pacific, Central & South America and Middle East & Africa, focuses on the consumption
Data Prep Market Report 2018: Segmentation by Platform (Self-Service Data Prep, …
Global Data Prep market research report provides company profile for Alteryx, Inc. (U.S.), Informatica (U.S.), International Business Corporation (U.S.), TIBCO Software, Inc. (U.S.), Microsoft Corporation (U.S.), SAS Institute (U.S.), Datawatch Corporation (U.S.), Tableau Software, Inc. (U.S.) and Others. This market study includes data about consumer perspective, comprehensive analysis, statistics, market share, company performances (Stocks), historical analysis 2012 to 2017, market forecast 2018 to 2025 in terms of volume, revenue, YOY
Long Term Data Retention Solutions Market - The Increasing Demand For Big Data W …
Data retention is a technique to store the database of the organization for the future. An organization may retain data for several different reasons. One of the reasons is to act in accordance with state and federal regulations, i.e. information that may be considered old or irrelevant for internal use may need to be retained to comply with the laws of a particular jurisdiction or industry. Another reason is to
Data Quality and Data Governance Solution Market - Demand For Cost-Effective Dat …
In the enterprise data management ecosystem, data quality is a broad term which refers to the quality, integrity, and consistency of data and/or process etc. Data quality also implies the degree of data accuracy and consistency. On the other hand, data governance focusses on the management of data assets by assigning authority, control, and responsibility of data and encompasses three key areas: people, process, and technology. Data quality and data governance