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SAS ®企业智能平台
SAS ®企业智能平台为企业提供智能集成平台。 这个平台，我们称之为SAS企业智能平台，优化集成在您现有的IT基础设施到一个单一的，统一的系统独立的技术组件。 其结果是一个信息流，超越组织架构，多样化计算平台和一系列工具-并提供新的洞察力，为您的组织建设提供价值。
它包括以下部分：
• SAS数据整合提供了预建，高的数据连接性能，数据质量的ETL（抽取，转换和装载），数据迁移，数据同步和数据联合会。
• SAS智能存储是一个专门的解决方案，有效地存储和传播商业智能和分析需求信息，提供关系和来自同一基础性投入的OLAP存储选项。
• SAS分析提供了预测和描述性建模，预测，优化，模拟，实验设计和更加一体化的环境。 利用现有的SAS数据分析和基础设施，以支持有效决策到商业智能环境和集成。
• SAS商业智能提供了一套BI功能，使不同类型的用户到地表一致的，全公司的数据有意义的情报。
主要特点：
• 一致-提供集成的能力，共享和集中管理整个企业在线数据，创建一个版本的真相，消除信息孤岛和限制成本支出。
• 打开 -与数据和元数据的各种来源的信息集成，以支持在不同的IT环境流通。
• 统一 -股票共同的安全和管理服务，数据存储和管理功能，查询和报告工具，分析工具集，出版基础设施和网络组件和应用程序之间的用户界面。
• 管理 -提供的SAS企业智能平台的所有元素的单点管理。
• 基于标准 -支持业界标准协议，编程语言，模型和通信接口。
• 可扩展 -使客户能够创建自定义解决方案使用标准（如Java）和良好的发展环境，记录应用程序编程接口（API）。
• 便携式 -允许应用程序之间的系统和平台的基础上提出的转变经济增长和维护需求。
• 可扩展 -企业级网格运算能力，利用最有效的方式对待所有的计算资源。
• 兼容性 -适合在某种程度上成为一个组织的IT实践，技能，方法和基础设施，充分利用客户现有的技术投资。
• 未来作好准备 -可扩展，以处理未来的增长;定制以支持独特的新的应用，开放和基于标准的支持尚未确定未来的技术。
The SAS® Enterprise Intelligence Platform
IT infrastructures are complex. Integrating data and applications is a constant challenge, and so is providing the accurate intelligence demanded in today's fast-paced competitive environment.
SAS®9 provides an integrated platform for delivering enterprise intelligence. This platform, which we call the SAS Enterprise Intelligence Platform, optimally integrates individual technology components within your existing IT infrastructure into a single, unified system. The result is an information flow that transcends organizational silos, diverse computing platforms and niche tools – and delivers new insights that drive value for your organization.
The SAS Enterprise Intelligence Platform extends the value of your existing systems while setting the stage for new levels of enterprise intelligence not previously possible. It includes the following components:
• SAS Data Integration provides prebuilt, high-performance capabilities for data connectivity, data quality, ETL (extract, transform and load), data migration, data synchronization and data federation.
• SAS Intelligence Storage is a dedicated solution that efficiently stores and disseminates information for business intelligence and analytic requirements, offering relational and OLAP storage options from the same foundational inputs.
• SAS Analytics provides an integrated environment for predictive and descriptive modeling, forecasting, optimization, simulation, experimental design and more. SAS Analytics leverage existing data and infrastructures to support effective decision making and integration into business intelligence environments.
• SAS Business Intelligence delivers a set of BI capabilities that enable different types of users to surface meaningful intelligence from consistent, companywide data.
As part of an integrated platform, all components and services are managed from a single point, reducing the administrative effort for maintenance of applications, users and security. Data consistency is assured because metadata is stored in a single metadata repository and is shared across all SAS technologies and solutions.
Using the SAS Enterprise Intelligence Platform as a foundation, SAS®9 offers targeted business solutions that support enterprise intelligence, customer intelligence, financial intelligence, supply chain intelligence and more – as well as turnkey solutions for various vertical markets, such as financial services, life sciences, health care, retail, manufacturing and others.
SAS also provides a strategic, proven approach that can help organizations realize many of their Information Management objectives by helping them gain incrementally more value from their information assets – giving them the edge to be more efficient, differentiate themselves from the competition, mitigate risk and comply with governmental regulations.
SAS is also pursuing a strategic initiative to enable key aspects of SAS Data Integration, SAS Business Intelligence, SAS Analytics and SAS Solutions to execute within relational database engines. SAS® In-Database Processing offers our customers innovative solutions, which deliver better answers faster, and a cost-effective approach to further leverage their data warehousing investments. By pushing relevant SAS capabilities to where data resides, organizations can develop and deploy analytic models quickly and flexibly to improve accuracy and deliver information in a timely manner.
No matter where your organization is on the path toward evolving information capabilities, SAS can adapt to your situation and drive intelligence evolution to the next level, while leveraging and extending the value of your existing IT investments.
Key Characteristics of the SAS Enterprise Intelligence Platform:
• Consistent – offers the ability to integrate, share and centrally manage metadata across entire enterprises, creating one version of the truth and eliminating information silos and the costs of maintaining them.
• Open – integrates with a wide variety of data and metadata sources to support information flow across diverse and disjointed IT environments.
• Unified – shares common security and administration services, data storage and management functions, query and reporting tools, analytic toolsets, publishing infrastructure, and Web-based user interfaces across components and applications.
• Manageable – provides a single point of administration for all elements of the SAS Enterprise Intelligence Platform.
• Standards-based – supports industry-standard protocols, programming languages, models and communication interfaces.
• Extensible – enables customers to build custom solutions using standard development environments (such as Java) and well-documented application programming interfaces (APIs).
• Portable – allows applications to be moved between systems and platforms based on changing needs for growth and maintenance.
• Scalable – enterprise-class grid computing capabilities utilize all computing resources in the most efficient manner.
• Compatible – fits into an organization's IT practices, skills, methodologies and infrastructure in a way that leverages customers' existing technology investments.
• Future-ready – scalable to handle future growth; customizable to support unique new applications; open and standards-based to support future technologies not yet defined
SAS ®企业智能平台为企业提供智能集成平台。 这个平台，我们称之为SAS企业智能平台，优化集成在您现有的IT基础设施到一个单一的，统一的系统独立的技术组件。 其结果是一个信息流，超越组织架构，多样化计算平台和一系列工具-并提供新的洞察力，为您的组织建设提供价值。
它包括以下部分：
• SAS数据整合提供了预建，高的数据连接性能，数据质量的ETL（抽取，转换和装载），数据迁移，数据同步和数据联合会。
• SAS智能存储是一个专门的解决方案，有效地存储和传播商业智能和分析需求信息，提供关系和来自同一基础性投入的OLAP存储选项。
• SAS分析提供了预测和描述性建模，预测，优化，模拟，实验设计和更加一体化的环境。 利用现有的SAS数据分析和基础设施，以支持有效决策到商业智能环境和集成。
• SAS商业智能提供了一套BI功能，使不同类型的用户到地表一致的，全公司的数据有意义的情报。
主要特点：
• 一致-提供集成的能力，共享和集中管理整个企业在线数据，创建一个版本的真相，消除信息孤岛和限制成本支出。
• 打开 -与数据和元数据的各种来源的信息集成，以支持在不同的IT环境流通。
• 统一 -股票共同的安全和管理服务，数据存储和管理功能，查询和报告工具，分析工具集，出版基础设施和网络组件和应用程序之间的用户界面。
• 管理 -提供的SAS企业智能平台的所有元素的单点管理。
• 基于标准 -支持业界标准协议，编程语言，模型和通信接口。
• 可扩展 -使客户能够创建自定义解决方案使用标准（如Java）和良好的发展环境，记录应用程序编程接口（API）。
• 便携式 -允许应用程序之间的系统和平台的基础上提出的转变经济增长和维护需求。
• 可扩展 -企业级网格运算能力，利用最有效的方式对待所有的计算资源。
• 兼容性 -适合在某种程度上成为一个组织的IT实践，技能，方法和基础设施，充分利用客户现有的技术投资。
• 未来作好准备 -可扩展，以处理未来的增长;定制以支持独特的新的应用，开放和基于标准的支持尚未确定未来的技术。
The SAS® Enterprise Intelligence Platform
IT infrastructures are complex. Integrating data and applications is a constant challenge, and so is providing the accurate intelligence demanded in today's fast-paced competitive environment.
SAS®9 provides an integrated platform for delivering enterprise intelligence. This platform, which we call the SAS Enterprise Intelligence Platform, optimally integrates individual technology components within your existing IT infrastructure into a single, unified system. The result is an information flow that transcends organizational silos, diverse computing platforms and niche tools – and delivers new insights that drive value for your organization.
The SAS Enterprise Intelligence Platform extends the value of your existing systems while setting the stage for new levels of enterprise intelligence not previously possible. It includes the following components:
• SAS Data Integration provides prebuilt, high-performance capabilities for data connectivity, data quality, ETL (extract, transform and load), data migration, data synchronization and data federation.
• SAS Intelligence Storage is a dedicated solution that efficiently stores and disseminates information for business intelligence and analytic requirements, offering relational and OLAP storage options from the same foundational inputs.
• SAS Analytics provides an integrated environment for predictive and descriptive modeling, forecasting, optimization, simulation, experimental design and more. SAS Analytics leverage existing data and infrastructures to support effective decision making and integration into business intelligence environments.
• SAS Business Intelligence delivers a set of BI capabilities that enable different types of users to surface meaningful intelligence from consistent, companywide data.
As part of an integrated platform, all components and services are managed from a single point, reducing the administrative effort for maintenance of applications, users and security. Data consistency is assured because metadata is stored in a single metadata repository and is shared across all SAS technologies and solutions.
Using the SAS Enterprise Intelligence Platform as a foundation, SAS®9 offers targeted business solutions that support enterprise intelligence, customer intelligence, financial intelligence, supply chain intelligence and more – as well as turnkey solutions for various vertical markets, such as financial services, life sciences, health care, retail, manufacturing and others.
SAS also provides a strategic, proven approach that can help organizations realize many of their Information Management objectives by helping them gain incrementally more value from their information assets – giving them the edge to be more efficient, differentiate themselves from the competition, mitigate risk and comply with governmental regulations.
SAS is also pursuing a strategic initiative to enable key aspects of SAS Data Integration, SAS Business Intelligence, SAS Analytics and SAS Solutions to execute within relational database engines. SAS® In-Database Processing offers our customers innovative solutions, which deliver better answers faster, and a cost-effective approach to further leverage their data warehousing investments. By pushing relevant SAS capabilities to where data resides, organizations can develop and deploy analytic models quickly and flexibly to improve accuracy and deliver information in a timely manner.
No matter where your organization is on the path toward evolving information capabilities, SAS can adapt to your situation and drive intelligence evolution to the next level, while leveraging and extending the value of your existing IT investments.
Key Characteristics of the SAS Enterprise Intelligence Platform:
• Consistent – offers the ability to integrate, share and centrally manage metadata across entire enterprises, creating one version of the truth and eliminating information silos and the costs of maintaining them.
• Open – integrates with a wide variety of data and metadata sources to support information flow across diverse and disjointed IT environments.
• Unified – shares common security and administration services, data storage and management functions, query and reporting tools, analytic toolsets, publishing infrastructure, and Web-based user interfaces across components and applications.
• Manageable – provides a single point of administration for all elements of the SAS Enterprise Intelligence Platform.
• Standards-based – supports industry-standard protocols, programming languages, models and communication interfaces.
• Extensible – enables customers to build custom solutions using standard development environments (such as Java) and well-documented application programming interfaces (APIs).
• Portable – allows applications to be moved between systems and platforms based on changing needs for growth and maintenance.
• Scalable – enterprise-class grid computing capabilities utilize all computing resources in the most efficient manner.
• Compatible – fits into an organization's IT practices, skills, methodologies and infrastructure in a way that leverages customers' existing technology investments.
• Future-ready – scalable to handle future growth; customizable to support unique new applications; open and standards-based to support future technologies not yet defined
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