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 researches on business intelligence for health care and social work


精确收购先锋集团
随着收购的先锋,精确的软件,希望更紧密地集成精确的商业分析其现有的产品系列,并开发更多的功能,以满足精确先锋的客户和潜在客户的不断变化的需求。

researches on business intelligence for health care and social work  商业智能> BI,Analytics(分析),企业资源规划,ERP,中端市场,收购,中小型企业,中小企业

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浏览RFP模板

TEC RFP模板为超过40个类别的软件罗列了数以千计的特性和功能。获取行业中最全面的要求/功能列表。

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以成千上万的特点和功能为依据,一对一地比较各种领先的解决方案。 TEC比较报告给你比你所能发现其他任何地方都更详细的资料。

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Staff Scheduling for the Health Care Industry

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文档关于 » researches on business intelligence for health care and social work

TARGIT


TARGIT was founded in 1986 with CEO Morten Sandlykke as one of the founding partners. Back then, we worked closely together with other large Danish software companies like Navision and XAL, known today as MS Dynamics NAV and AX, and we still share the technologies and innovative business ideologies with these platforms. From the very beginning, we developed and sold Business Management Systems. While starting out as a software company providing applications to the retail and oil business, we quickly realized the overwhelming need for analytical processing tools that could help management in day-to-day decision-making and action taking. With the acquisition of Morton Systems, established by Dr. Morten Middelfart, in 1996, TARGIT started to develop a Business Intelligence tool based on the same basic ideas of usability, versatility and ease of implementation that has always been a TARGIT trademark. In October 2000, our company was reorganized; the "new" TARGIT Inc. is a pure business intelligence company that markets only the Business Intelligence software solution; TARGIT BI Suite. The first version of the TARGIT Business Intelligence technology was launched during spring of 1996, and the core technology of TARGIT's Business Intelligence software is protected by several international patents. Today, TARGIT is driven by providing facts that beat fear and enables courageous leadership..

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赛捷ERP和CRM产品最新动态


卓越的客户体验(ECE)策略----“丰富、连接、提升”,赛捷软件正在将其企业资源计划(ERP)和客户关系管理(CRM)高效整合的功能特性组合通过在云中增强性能。TEC首席分析师P.J. Jakovljevic将在本文中向您介绍赛捷的最新市场定位及今后的发展方向。

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企业激励管理负责人回应市场需求


市场对企业的激励管理(EIM)产品是在其早期阶段,并正在迅速发展。 CALLIDUS软件是EIM解决方案的首选供应商,在世界上一些最大的公司。

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访问关键的商业智能:具有挑战性的数据仓库?


有一种看法,如果企业用户访问企业数据库和原始查询工具,他们将创建在系统的破坏,这是一种可能性,除非业务智能(BI)产品开发人员了解潜在的问题,并解决它作为一个业务的关键因素。

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SAP BusinessObjects Edge Business Intelligence


SAP BusinessObjects Edge Business Intelligence (BI) enables small and medium-sized companies to take advantage of the same business and operational benefits of BI that large enterprises experience—without the cost or technical resource requirements of enterprise-class BI technology. These benefits include   familiar keyword searches to find information hidden in data sources; navigation and exploration directly on data; flexible ad hoc reporting and analysis; dashboards and visualization; data integration and quality; and prepackaged data mart solutions.  

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实现实时,点播信息数据:当代商业智能工具


分散的信息的即时访问的需求正在实现由供应商提供企业商业智能工具和套房。 Portlet的标准化,企业信息集成,与企业绩效管理是其中提出的解决方案,但他们真的提供实时信息吗?

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A响应管理先锋提供的解决方案


Kinaxis的公司回答全球制造商的需求,通过提供需求响应管理服务。这些服务旨在帮助制造商快速响应瞬息万变的全球供应链和履行网络。

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揭开《供应商ERP Shootout活动》的神秘面纱


2011年,TEC的首席分析师P.J. Jakovljevic体验了第11届软件供应商ERP Shootout活动。本届活动直接参与的厂商有Plex Systems、IQMS和abas(珠玑软件)美国;由伙伴代表参加的厂商有Infor ERP Syteline、Epicor ERP、Microsoft Dynamics AX、SAP Business ByDesign和Oracle JD Edwards。您一定有很多疑问:这么多软件供应商和增值经销商同时出现在一场活动中,让人感觉火药味十足,到底什么是ERP Shootout?Shootout本意虽为交火、开枪决斗,但在此的真正意义请通过阅读本文了解。

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商业智能实施的挑战:一个案例研究


伊利诺伊大学提供广泛的集成商业智能(BI)解决方案和企业资源规划(ERP)解决方案的数据仓库环境的一个很好的例子。

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商务智能(BI)(英文版)


Business intelligence (BI) and performance management applications are decision support tools that enable real time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications provide users with valuable insights into key operating information to quickly identify business problems and opportunities. Users are able to access and leverage vast amounts of information to analyze relationships and understand trends that, ultimately, support business decisions. These tools prevent the potential loss of knowledge within the enterprise that results from massive information accumulation that is not readily accessible or in a usable form. It is an umbrella term that ties together other closely related data disciplines including data mining, statistical analysis, forecasting, and decision support.

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