OpenText는 수십 년간의 전문 지식을 통해 데이터를 활용하고, 사람과 프로세스를 연결하며, 신뢰할 수 있는 AI를 강화합니다
기업 전체의 데이터를 매끄럽게 통합하여 정보 단절을 없애고, 협업을 강화하며, 리스크를 최소화하세요
데이터를 AI가 활용 가능하고 구조화되고, 접근 가능한, 최적화된 정보로 변환하세요
규제 및 준수 요구 사항을 충족하고 정보의 수명 주기 전반에 걸쳐 보호하세요
OpenText는 사람들이 콘텐츠를 관리하고, 작업을 자동화하며, AI를 사용하고, 협업하여 생산성을 높일 수 있도록 지원합니다
전 세계 수천 개의 기업이 OpenText의 혁신적인 솔루션으로 성공을 거두고 있는 방법을 확인해 보세요
직원은 OpenText의 가장 큰 자산으로, OpenText 브랜드와 가치의 생명입니다.
OpenText가 사회적 목표를 발전시키고 긍정적인 변화를 가속화하기 위해 어떤 노력을 하고 있는지 알아보세요
디지털 혁신을 이루기 최적인 솔루션과 전문성을 갖춘 OpenText 파트너를 만나보세요
새로운 방식으로 정보 보기
비즈니스, 데이터 및 목표를 파악하는 AI
더 빠른 의사 결정을 만나보세요. 안전한 개인 AI 비서가 업무를 시작할 준비가 되었습니다.
공급망을 위한 생성형 AI로 더 나은 인사이트를 얻어보세요.
AI 콘텐츠 관리 및 지능형 AI 콘텐츠 어시스턴트를 통해 효율적으로 작업하세요.
더 빠른 앱 제공, 개발 및 자동화된 소프트웨어 테스트를 만나보세요.
고객 성공을 위해 고객 커뮤니케이션과 경험을 개선해 보세요.
사용자, 서비스 상담원 및 IT 직원이 필요한 답을 찾을 수 있도록 권한을 부여하세요.
새로운 방식으로 정보 보기
비즈니스, 데이터 및 목표를 파악하는 AI
더 빠른 의사 결정을 만나보세요. 안전한 개인 AI 비서가 업무를 시작할 준비가 되었습니다.
공급망을 위한 생성형 AI로 더 나은 인사이트를 얻어보세요.
AI 콘텐츠 관리 및 지능형 AI 콘텐츠 어시스턴트를 통해 효율적으로 작업하세요.
더 빠른 앱 제공, 개발 및 자동화된 소프트웨어 테스트를 만나보세요.
고객 성공을 위해 고객 커뮤니케이션과 경험을 개선해 보세요.
사용자, 서비스 상담원 및 IT 직원이 필요한 답을 찾을 수 있도록 권한을 부여하세요.
한 번만 연결하면 안전한 B2B 통합 플랫폼으로 모든 대상과 연결할 수 있습니다.
AI가 활용 가능한 콘텐츠 관리 솔루션으로 지식 재구성
기업 보호를 위한 통합 사이버 보안 솔루션
AI 기반 DevOps 자동화, 테스트 및 품질을 통해 더 나은 소프트웨어를 더 빠르게 제공
잊을 수 없는 고객 경험으로 대화 재창조
IT 운영의 비용과 복잡성을 줄이기 위해 필요한 명확성 확보
검증된 OpenText 정보 관리 기술을 사용하여 맞춤형 애플리케이션 구축
사용자 정의 애플리케이션 및 워크플로를 지원하는 실시간 정보 흐름을 제공하는 OpenText Cloud API를 사용하여 원하는 방식으로 구축
안전한 정보 관리가 신뢰할 수 있는 AI를 만나다
데이터와 AI의 신뢰를 높이는 통합 데이터 프레임워크
데이터 언어로 에이전트를 구축, 배포 및 반복할 수 있는 공간
AI를 강화하기 위해 데이터 수집 및 메타데이터 태그 지정 자동화를 지원하는 도구 세트
거버넌스를 사전 예방적이고 지속 가능하게 만드는 서비스 및 API 제품군
AI 여정을 도와주는 전문 서비스 전문가
새로운 방식으로 정보 보기
비즈니스, 데이터 및 목표를 파악하는 AI
더 빠른 의사 결정을 만나보세요. 안전한 개인 AI 비서가 업무를 시작할 준비가 되었습니다.
공급망을 위한 생성형 AI로 더 나은 인사이트를 얻어보세요.
AI 콘텐츠 관리 및 지능형 AI 콘텐츠 어시스턴트를 통해 효율적으로 작업하세요.
더 빠른 앱 제공, 개발 및 자동화된 소프트웨어 테스트를 만나보세요.
고객 성공을 위해 고객 커뮤니케이션과 경험을 개선해 보세요.
사용자, 서비스 상담원 및 IT 직원이 필요한 답을 찾을 수 있도록 권한을 부여하세요.
OpenText는 주요 클라우드 인프라 제공업체와 협력하여 어디서나 OpenText 솔루션을 실행할 수 있는 유연성을 제공합니다
OpenText는 최고의 엔터프라이즈 앱 제공업체와 협력하여 비정형 데이터를 활용함으로써 더 나은 비즈니스 인사이트를 제공합니다
Zebra TechnologiesTechnology provider accelerates complex end-to-end user acceptance and performance testing projects for global ERP systems with OpenText


Zebra’s complex and fast-moving global operations depend on the smooth and reliable running of several major business systems including Oracle ERP, Siebel, and Salesforce CRM. The internal IT team is responsible for keeping these systems updated with the latest patches and features—which entails significant testing before the new software is released to business users.
Gunjan Arya, manager information systems at Zebra Technologies, explained the organization’s requirements, “We’re increasingly focused on end-to-end, enterprise-level testing that cuts across all verticals. Most of our common workflows span multiple systems and teams across the globe, so it’s vital that we’re able to manage correspondingly broad test scenarios.”
A Zebra employee in the US may create a sales opportunity in Salesforce, another employee may then create a related order in Siebel, and the process flow will continue through various ERP, logistics, and finance systems—potentially involving up to 35 distinct functional teams.
“When we test new or updated software, we want to be sure that it works in the context of all the upstream and downstream processes,” said Arya. “That means coordinating and tracking all testing and approval processes across multiple systems and teams in different locations and time zones. And of course, we want to do that as quickly and efficiently as possible, without sacrificing any visibility.”

OpenText Enterprise Performance Engineering (LoadRunner Enterprise) works equally well across legacy applications and modern web applications, so we can do everything in a single solution.
Zebra implemented OpenText™ Enterprise Performance Engineering (LoadRunner Enterprise) and OpenText™ Application Quality Management (ALM Quality Center) to rigorously test its enterprise software, ensuring that end-to-end processes run efficiently and systems can handle expected demand.
Simulate real-world conditions to performance test software while sharing load resources across the globe via on-premises or cloud deployments
A software quality management solution that helps you govern application lifecycle management activities with rigorous, auditable processes
For system integration testing and user acceptance testing, Zebra relies on OpenText Application Quality Management as its key solution for managing test scenarios and results.
“The main area where OpenText Application Quality Management (ALM Quality Center) helps is the end-to-end testing of scenarios spanning multiple teams,” said Arya. “As soon as one testing stage is complete, the workflows we build in OpenText Application Quality Management (ALM Quality Center) automatically trigger a notification to the next person in the chain, including all the required information for them to take action. We have integrated the solution with our automation tool, so that we can automatically run the appropriate tests at each stage and then pull the evidence back into OpenText Application Quality Management (ALM Quality Center), giving us an audit trail of actions and approvals.”
Zebra uses OpenText Application Quality Management to classify scenarios into sets of tests, then assigns the resulting test scripts to different teams. Each team is responsible for completing all the tests in the set(s) assigned to them. The execution is usually sequential, with OpenText Application Quality Management automatically triggering instructions and reminders to the relevant people when a stage is completed—but in some cases, processes run in parallel. At the end of each multi-step testing run—spanning multiple test teams, potentially in different countries and regions—the relevant business process owner can review the audit trail in OpenText Application Quality Management and provide final sign-off. The system makes it easy to see pending and overdue activities, and to review identified software defects by their level of criticality.
“When it comes to making sure end-to-end processes are working, a tool like Jira is not the answer,” said Arya. “When testing cuts across multiple teams, that’s where the power of OpenText Application Quality Management (ALM Quality Center) comes into play. The real-time reporting through the Excel Plug-in is especially powerful for pinpointing bottlenecks in our testing flows. We can easily see how many scripts are pending with each team, how we are performing against the plan, what kinds of defects we’re finding, and so on. The OpenText solution gives us excellent visibility into the progress of testing.”
Zebra also values the flexibility of OpenText Application Quality Management, which enables the organization to write custom workflows rapidly and easily, and then edit them for new requirements. “The customization is very useful, as are the plug-ins for Microsoft Excel,” says Arya. “Once we’ve built the charts and reports we want, we can easily refresh the data from OpenText Application Quality Management (ALM Quality Center) and see all the latest metrics.”
Having used an on-premises implementation of OpenText Application Quality Management for more than a decade, Zebra recently migrated it to OpenText SaaS. The SaaS model significantly reduces Zebra’s costs associated with buying, maintaining, and managing its own infrastructure, as well as providing non-disruptive patching and ongoing functional upgrades at zero additional cost.
“When we were on-premises, every upgrade would require going to tender with an external partner,” said Arya. “With the OpenText Application Quality Management (ALM Quality Center) , those costs are gone, and the whole process is fast, easy, and secure.”
In addition to managing system integration testing and user acceptance testing for end-to-end business workflows spanning multiple systems, Zebra must also ensure that the underlying systems are sufficiently performant and scalable for current and projected needs. Here, the challenge is to automate performance and load testing across multiple protocols spanning both legacy and modern technologies.
Zebra’s strategic solution is OpenText Enterprise Performance Engineering. “We have explored other tools in the market, but I can say with confidence that there is no better alternative than OpenText Enterprise Performance Engineering (LoadRunner Enterprise) for automation,” said Arya. “It offers something very robust and unique, and it’s very hard to match.”
OpenText Enterprise Performance Engineering is used by the quality assurance team and multiple other technical teams within Zebra, including networking, database administrators, and the server and storage teams. While the focus is on testing on-premises applications, Zebra also uses OpenText Enterprise Performance Engineering for performance and load testing for several of its cloud applications.
“For volume testing, we might do something like booking 15,000 sales orders in one hour with 500 concurrent users, and see what impact this has on the infrastructure,” said Arya. “We’ll typically go beyond any realistic load so that we have confidence in the scalability of our solutions to meet any unexpected spikes in demand.”
Zebra uses the built-in analytics tools in OpenText Enterprise Performance Engineering to drill down into performance, overlaying software metrics such as transaction response times with infrastructure metrics such as CPU and memory utilization. “By overlaying the various data points, we can easily pinpoint where and when any performance issues begin, which makes them much faster to resolve,” said Arya. "OpenText Enterprise Performance Engineering (LoadRunner Enterprise) works equally well across legacy applications and modern web applications, so we can do everything in a single solution. It also has no problems working in our modern security environment.”

OpenText Application Quality Management (ALM Quality Center) helps us with large and complex software testing projects where we have teams located in different places, saving significant time and effort while keeping all activities coordinated.
Zebra has saved massive amounts of manual labor and development time by improving the implementation, performance, and tracing of software testing protocols.
Gunjan Arya sees OpenText Application Quality Management and OpenText Enterprise Performance Engineering as the “backbone” of the software quality center of excellence at Zebra. OpenText Application Quality Management provides end-to-end traceability for all processes involved in system integration testing and user acceptance testing, bringing speed, transparency, and automation to complex testing projects that span multiple teams and geographies.
“The workflow and process customizations in OpenText Application Quality Management (ALM Quality Center) are so powerful that nearly all processes tied to test-script development, test execution, defect management, reporting, and notifications can be automated to a great degree,” said Arya.
With performance testing automated through OpenText Enterprise Performance Engineering, Zebra can ensure that its most critical systems are always able to meet demand from internal users. “Writing good test code manually from scratch might take a whole team several months,” said Arya. “With OpenText Enterprise Performance Engineering (LoadRunner Enterprise), we record the transactions, and the solution generates the code automatically. For our legacy applications, we sometimes then need to do a small amount of manual correlation to debug the code, but the intervention is minimal, saving us a huge amount of time. We typically have ready-to-run code within an hour.”
Zebra also values the longevity and licensing flexibility of the OpenText solutions. Arya commented, “There is a lot of experience in the market and a very solid user community, so we can easily access the resources we need. And the flexibility of the licensing means that we can choose the most cost-effective option for us depending on what systems we’re currently testing.”
He concluded, “Our experience of working with OpenText over the years is overwhelmingly positive. The support is easy to access, especially through our customer success managers, and we’ve appreciated the ability to work directly with the R&D team at times to get customizations into the product.”
