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
WartaOpenText™ Vertica™ revolutionizes insurance pricing with 25x improved performance to boost decision making with sophisticated data analytics


Complex and competitive insurance pricing demands a new approach. Warta’s department of insurance pricing has key responsibilities to ensure business success. It needs to update, verify, and tune customer data for business use, as good data is essential. It is also responsible for segmentation analysis. This includes micro-scale analysis, using decision trees, and macro-scale analysis, looking for micro-segments that behave in a nonstandard way. The department also manages ongoing reporting and ad hoc analysis. Speed and data quality are key to this function.
“Our department is basically responsible for making the best use of the data that we have to optimize our pricing policy,” explains Michal Dorosz, Coordinator of the Analysis and Data Mining Team within Warta’s Department of Tariff. “The level of analytical sophistication in the insurance market has significantly increased over the last couple of years and good risk segmentation is now a key competitive advantage. To prepare personalized insurance offers for our customers, we needed a solution to analyze large volumes of data in real-time.”
Arriving at the optimum insurance quote involves many challenges, such as the need to consider potentially thousands of variables, work within a short time window, as yesterday’s price may not be current today, and differentiate pricing based on current market situation or customer parameters, such as age. Advanced analytics and machine learning are essential, which led Warta to build its skills in data science and work on an innovative approach that would include new solutions to support process automation.

The new style of working with Vertica makes data analytics a lot of fun. We joke that the only downside is managing our CEO’s expectations as he has now seen the speed with which we can deliver valuable business results!
Unlocking Warta’s potential with OpenText Vertica: real-time analytics, customized quotes, and significant cost savings.
Analyze petabytes of data in no time with an AI-driven analytics database
Making fundamental changes to technology and processes that have served the company for many years is always delicate, but it was clear that the previous approach and technology were limiting innovation with significant performance constraints. Vertica was one of the analytics solutions put through its paces in a proof-of-concept (POC) by the team. Dorosz comments: “During rather extensive POCs, we tested our selected solutions for speed of operation based on a wide range of our typical database queries, volumes of data supported, and the ability to automate work. Vertica as a whole best met our expectations.”
Vertica is optimized for query performance, providing fast query execution and data retrieval. The integration of AI algorithms enables real-time analytics and predictions, making it extremely suitable for Warta’s requirements. AI techniques can be used within Vertica for data pre-processing and transformation, making it easier to handle large and complex data sets. Vertica can be integrated with various data sources and types, and it supports various data formats.
When the decision for Vertica was made, it presented a great opportunity to comprehensively review existing processes and optimize them, knowing what Vertica could bring in terms of process automation. The team had previously spent hours importing large files into the database. Vertica includes a COPY TABLE command which enables file imports practically in real-time. When data analysts are tasked with acquiring and testing new data sources, often from external databases, this option is invaluable. The team would also continually optimize queries manually. However, this is no longer needed according to Dorosz: “The projections that Vertica offers mean that individual analysts no longer need to manage query optimization, boosting their productivity.”
Thanks to Vertica’s incredible analytics speed we can experiment, make mistakes, and draw conclusions on a massive scale. Our approach has not changed, but after removing the performance constraints we faced before, we are able to greatly spread our wings.
25x faster analytics, 5% reduction in insurance claims, 12-month ROI, and enhanced data analyst productivity, all achieved through OpenText Vertica.
The Warta implementation of Vertica includes a statistical environment for data modelling and hypotheses verification. Vertica provides in-database machine learning algorithms that enable predictive analytics. This means you can build and deploy machine learning models directly within the database, which can speed up the process by eliminating the need to move data. Models built here are then leveraged by the insurance policy pricing process.
The reporting environment includes predefined reports as well as dynamic ad hoc reports. These lead to faster decision-making as reports can be changed on the fly during a meeting. Vertica is 25 times faster than Warta’s previous technology. This has drastically changed working practices for the analysts as they can now verify more hypotheses, knowing an answer will be delivered straight away. “Thanks to Vertica’s incredible analytics speed, we can experiment and draw conclusions on a massive scale. Our fundamental approach has not changed, but after removing the performance constraints we faced before, we are able to greatly spread our wings,” says Dorosz.
The advanced analytics capabilities through Vertica have led to the team being able to pinpoint potentially higher-risk policy seekers. Since Vertica was implemented, the insurance claims frequency has reduced by five percent. Over the entire Warta insurance portfolio, this adds to substantial savings, and a return on investment for Vertica within just 12 months.
Warta IT was pleasantly surprised at how low-maintenance Vertica proved to be. The environment is completely stable, and the built-in high availability and scalability brings additional security assurances. Vertica easily processes large data tables of up to six terabytes and the simplicity of the SQL language has made the switch from the previous environment much easier with a short learning curve for the data analysts.
CVS-based data frames and calculations from the statistical environment are loaded into Vertica in seconds, without the need to use ETL tools. The new environment integrates seamlessly with the data science ecosystem, providing connectivity to popular data science platforms and languages in use with Warta, like Python, R, and others, enabling data scientists to leverage AI libraries and frameworks like TensorFlow and others.
Dorosz concludes: “The new style of working with Vertica makes data analytics a lot of fun. We joke that the only downside is managing our CEO’s expectations as he has now seen the speed with which we can deliver valuable business results! Warta has one of the strongest analytical teams in the insurance market and thus the greatest level of complexity to differentiate between customers. Customers with a low, custom risk profile might not be noticed by other companies and receive average quotes. However, Warta will give these customers a competitive price, so ultimately our customers are the biggest beneficiaries of our Vertica project.”