Operational analytics is all about answering business questions while doing business and supporting business users across the organization, from shop floor users to management and executives. Therefore, business trans...Operational analytics is all about answering business questions while doing business and supporting business users across the organization, from shop floor users to management and executives. Therefore, business transactions and analytics must co-exist together in a single platform to empower business users to drive insights, make decisions, and complete business processes in a single application and using a single source of facts without toggling between multiple applications. Traditionally transactional systems and analytics were maintained separately to improve throughput of the transactional system and that certainly introduced latency in decision making. However, with innovation in the SAP HANA platform, SAP S/4HANA embedded analytics enables business users, business analysts, and management to perform real-time analytics on live transactional data. This paper reviews technical architecture and key components of SAP S/4HANA embedded analytics. This paper reviews technical architecture and key components of SAP S/4HANA embedded analytics.展开更多
SAP HANA与BI所不同的是,能够对于海量数据实现瞬间抓取并作出分析,这点将有助于企业的工作需求。"我们会在今年到2015年期间,投资20亿美元在中国市场。"SAP联席首席执行官孟鼎铭在11月15日召开的SAP中国商业同略会上对媒体...SAP HANA与BI所不同的是,能够对于海量数据实现瞬间抓取并作出分析,这点将有助于企业的工作需求。"我们会在今年到2015年期间,投资20亿美元在中国市场。"SAP联席首席执行官孟鼎铭在11月15日召开的SAP中国商业同略会上对媒体做出了上述承诺。他表示,SAP将增加在中国的网点和办事机构,增加员工团队,在数量上这两个都将在目前的基础上翻一番,而且还将有专门的团队支持中国市场。展开更多
Dowlat Abad-Tang e Hana area is a part of Neyriz ophiolite zone, parallel to the Zagros thrust, SW of Iran. It is also a part of obduction thrusting belt over the edge of the Arabian continent during the late Cretaceo...Dowlat Abad-Tang e Hana area is a part of Neyriz ophiolite zone, parallel to the Zagros thrust, SW of Iran. It is also a part of obduction thrusting belt over the edge of the Arabian continent during the late Cretaceous. Petrographic investigation indicates the main host rocks are harzburgite, dunite, pyroxenite, basalt, gabbro and pelagic marine sediments. The main magma type of this ophiolite complex is sub-alkaline. The geochemical data of analysed samples show depletion of Na and K, and enrichment in Ca. Copper mineralization in Dowlat Abad-Tang e Hana is hosted mainly in peridotite rocks. The mineralizations are vein type and are associated as copper carbonate (malachite and less azurite). The average of Cu grade is 2.3 wt%. The geochemical and mineralogical data show that the primary source of copper is ortho-magmatic (from ultra-basic rocks and ferro magnesium minerals), which later influenced by hydrothermal processes.展开更多
随着企业业务的扩大,信息化的深入,能否快速处理海量数据并有效进行实时分析,将决定企业是否可以迅速应对市场行情变化、做出决策。企业需要实时洞察业务运营状态,以便迅速应对不断变化的市场形势。本文通过引入SAP内存计算和基于HANA...随着企业业务的扩大,信息化的深入,能否快速处理海量数据并有效进行实时分析,将决定企业是否可以迅速应对市场行情变化、做出决策。企业需要实时洞察业务运营状态,以便迅速应对不断变化的市场形势。本文通过引入SAP内存计算和基于HANA数据库的SAP NetWeaver Business Warehouse组件,分析了基于SAP HANA在业务分析领域的新变革。展开更多
Informed decision-making, better communication and faster response to business situation are the key differences between leaders and followers in this competitive global marketplace. A data-driven organization can ana...Informed decision-making, better communication and faster response to business situation are the key differences between leaders and followers in this competitive global marketplace. A data-driven organization can analyze patterns & anomalies to make sense of the current situation and be ready for future opportunities. Organizations no longer have the problem of “lack of data”, but the problem of “actionable data” at the right time to act, direct and influence their business decisions. The data exists in different transactional systems and/or data warehouse systems, which takes significant time to retrieve/ process relevant information and negatively impacts the time window to out-maneuver the competition. To solve the problem of “actionable data”, enterprises can take advantage of the SAP HANA [1] in-memory platform that enables rapid processing and analysis of huge volumes of data in real-time. This paper discusses how SAP HANA virtual data models can be used for on-the-fly analysis of live transactional data to derive insight, perform what-if analysis and execute business transactions in real-time without using persisted aggregates.展开更多
Digital transformation has been corner stone of business innovation in the last decade, and these innovations have dramatically changed the definition and boundaries of enterprise business applications. Introduction o...Digital transformation has been corner stone of business innovation in the last decade, and these innovations have dramatically changed the definition and boundaries of enterprise business applications. Introduction of new products/ services, version management of existing products/ services, management of customer/partner connections, management of multi-channel service delivery (web, social media, web etc.), merger/acquisitions of new businesses and adoption of new innovations/technologies will drive data growth in business applications. These datasets exist in different sharing nothing business applications at different locations and in various forms. So, to make sense of this information and derive insight, it is essential to break the data silos, streamline data retrieval and simplify information access across the entire organization. The information access framework must support just-in-time processing capabilities to bring data from multiple sources, be fast and powerful enough to transform and process huge amounts of data quickly, and be agile enough to accommodate new data sources per user needs. This paper discusses the SAP HANA Smart Data Access data-virtualization technology to enable unified access to heterogenous data across the organization and analysis of huge volume of data in real-time using SAP HANA in-memory platform.展开更多
文摘Operational analytics is all about answering business questions while doing business and supporting business users across the organization, from shop floor users to management and executives. Therefore, business transactions and analytics must co-exist together in a single platform to empower business users to drive insights, make decisions, and complete business processes in a single application and using a single source of facts without toggling between multiple applications. Traditionally transactional systems and analytics were maintained separately to improve throughput of the transactional system and that certainly introduced latency in decision making. However, with innovation in the SAP HANA platform, SAP S/4HANA embedded analytics enables business users, business analysts, and management to perform real-time analytics on live transactional data. This paper reviews technical architecture and key components of SAP S/4HANA embedded analytics. This paper reviews technical architecture and key components of SAP S/4HANA embedded analytics.
文摘Dowlat Abad-Tang e Hana area is a part of Neyriz ophiolite zone, parallel to the Zagros thrust, SW of Iran. It is also a part of obduction thrusting belt over the edge of the Arabian continent during the late Cretaceous. Petrographic investigation indicates the main host rocks are harzburgite, dunite, pyroxenite, basalt, gabbro and pelagic marine sediments. The main magma type of this ophiolite complex is sub-alkaline. The geochemical data of analysed samples show depletion of Na and K, and enrichment in Ca. Copper mineralization in Dowlat Abad-Tang e Hana is hosted mainly in peridotite rocks. The mineralizations are vein type and are associated as copper carbonate (malachite and less azurite). The average of Cu grade is 2.3 wt%. The geochemical and mineralogical data show that the primary source of copper is ortho-magmatic (from ultra-basic rocks and ferro magnesium minerals), which later influenced by hydrothermal processes.
文摘随着企业业务的扩大,信息化的深入,能否快速处理海量数据并有效进行实时分析,将决定企业是否可以迅速应对市场行情变化、做出决策。企业需要实时洞察业务运营状态,以便迅速应对不断变化的市场形势。本文通过引入SAP内存计算和基于HANA数据库的SAP NetWeaver Business Warehouse组件,分析了基于SAP HANA在业务分析领域的新变革。
文摘Informed decision-making, better communication and faster response to business situation are the key differences between leaders and followers in this competitive global marketplace. A data-driven organization can analyze patterns & anomalies to make sense of the current situation and be ready for future opportunities. Organizations no longer have the problem of “lack of data”, but the problem of “actionable data” at the right time to act, direct and influence their business decisions. The data exists in different transactional systems and/or data warehouse systems, which takes significant time to retrieve/ process relevant information and negatively impacts the time window to out-maneuver the competition. To solve the problem of “actionable data”, enterprises can take advantage of the SAP HANA [1] in-memory platform that enables rapid processing and analysis of huge volumes of data in real-time. This paper discusses how SAP HANA virtual data models can be used for on-the-fly analysis of live transactional data to derive insight, perform what-if analysis and execute business transactions in real-time without using persisted aggregates.
文摘Digital transformation has been corner stone of business innovation in the last decade, and these innovations have dramatically changed the definition and boundaries of enterprise business applications. Introduction of new products/ services, version management of existing products/ services, management of customer/partner connections, management of multi-channel service delivery (web, social media, web etc.), merger/acquisitions of new businesses and adoption of new innovations/technologies will drive data growth in business applications. These datasets exist in different sharing nothing business applications at different locations and in various forms. So, to make sense of this information and derive insight, it is essential to break the data silos, streamline data retrieval and simplify information access across the entire organization. The information access framework must support just-in-time processing capabilities to bring data from multiple sources, be fast and powerful enough to transform and process huge amounts of data quickly, and be agile enough to accommodate new data sources per user needs. This paper discusses the SAP HANA Smart Data Access data-virtualization technology to enable unified access to heterogenous data across the organization and analysis of huge volume of data in real-time using SAP HANA in-memory platform.
