试析皕杰报表在油田集成开发的应用

皕杰报表5.0是皕杰商务重要组成部分,用于统计报表的制作、发布、显示及管理.皕杰商务智能平台由报表和OLAP组成,是一个开放的、组合式平台,平台的各个产品组件既可以相互协作来完成商务智能的整体应用,也可以按照用户需要单独使用.皕杰报表成功实现了关系数据库与报表单元格之间的关联规律性,尤其适合于国企内报表的统计.浅析了皕杰报表在油田集成开发中的应用皕杰报表作为报表整理、汇总的平台,承载着油田生产数据发挥作用的重任,为油田提供标准化和规范化的数据展示是皕杰报表的应用重点.     

基于SSRS的医院收入分析系统商务智能报表设计

随着医院收入分析系统的普及,商务智能报表服务的需求越来越突出.利用SSRS进行了商务智能报表的数据模型设计、业务逻辑和查询设计以及数据访问设计.结果证明该方法很好地实现了下钻与上卷的功能,并且具有报表查询速度快、方便Web页面查询等优势,很好地满足了用户对报表的需求.     

一种面向决策的企业商务智能系统研究

随着市场竞争的加剧,商务智能及商务智能系统在支持企业决策方面的作用越来越大。在介绍商务智能及商务智能系统的基础上,着重探讨了一种面向决策的企业商务智能系统的业务处理层、数据仓库层、信息共享层的业务层次架构,分析系统的报表引擎、数据存储、数据整理、数据源等技术支撑架构和报表展现、报表管理、报表设计、数据存储、数据源等系统流程体系,详细介绍系统具有的报表单元管理、维度管理、数据管理、报表设计、报表展现、报表权限管理等系统功能,并给出一个电信运营商的应用例子。     

一种面向决策的企业商务智能系统研究

随着市场竞争的加剧,商务智能及商务智能系统在支持企业决策方面的作用越来越大。在介绍商务智能及商务智能系统的基础上,着重探讨了一种面向决策的企业商务智能系统的业务处理层、数据仓库层、信息共享层的业务层次架构,分析系统的报表引擎、数据存储、数据整理、数据源等技术支撑架构和报表展现、报表管理、报表设计、数据存储、数据源等系统流程体系,详细介绍系统具有的报表单元管理、维度管理、数据管理、报表设计、报表展现、报表权限管理等系统功能,并给出一个电信运营商的应用例子。     

基于PMML的数据挖掘模型管理

本文在引出商务智能应用领域中数据挖掘模型管理的问题之后,提出了SnartBk商务智能平台的总体架构,阐述了基于PMML的数据挖掘模型管理方案,并以SmartBiz系统中的实际应用为例,介绍了PMML和XML数据库结合的具体实现方案。     

农业银行统计报表决策支持系统的应用研究

提出了使用SQL Server 2005提供的商务智能开发农业银行统计报表决策支持系统的方法.侧重阐述了数据模型的建立与系统架构、数据仓库的创建与基于统计报表数据仓库决策系统的功能、统计数据在线分析.该系统可以实现各种统计报表的电子化和自动化,有力保证报表的规范性、准确性和及时性,并能为管理者提供经营决策信息.     

智能报表生成系统模型的研究与实现

提出了一种智能报表生成系统模型,模型中的报表知识库能以变化的用户需求为参数不断进行更新．这种报表功能能根据用户需求发展变化的机制;大大减轻了应用系统报表编制的后期维护工作,具有一定的智能和通用性。     

基于Web的IPVA系统客户端动态报表模型的实现

基于服务器的企业级报表环境Reporting Service为客流分析系统搭建了很好的前端展现平台,但该环境必须基于报表服务器,对客流分析系统功能的融合存在一定的限制。本文通过对ASP.NET web应用程序中的动态报表进行了深入研究,提出了一种动态Web客户端报表模型构建。使用Report Viewer Control和ADO.NET对报表的底层接口进行控制,在B/S的环境下实现了动态web报表,解决了web应用程序中自定义报表的客户端实现问题。该技术已成功应用于智能视频客流分析系统IPVA（Intelligent Pedestrians Video Analysis）。     

商务智能系统模型的研究和应用

分析商务智能所需的关键技术及其之间的关系,提出一个基于SQL Server2008的商务智能应用系统模型,并以该模型为参考开发了一个商务智能应用系统。     

MicroStrategy将信息变成利润

当企业积累了大量的数据,如何使这些数据变得更有用?利用商务智能(BI,Business Intelligence)这个工具对数据进行挖掘,生成报表分析,得到企业决策需要的依据。商务智能让企业更好地做出准确的决策,帮助企业创造利润。这就是所谓的从信息到知识,从知识到利润的神奇变化。 在美国,500强企业里面已经有90％以上的企业利用企业管理和商务     

An empirical study of managers’ usage intention in BI

In a changing business environment, data within and around organizations rapidly accumulate. In recent years, many organizations have implemented business intelligence (BI) to manage and refine the vast stocks of data. The effective use of BI can support managers to make faster and better decisions. The goal of this study is to investigate how to increase a manager’s intention to read information and to create reports. Based on the technology acceptance model, a research model is developed and tested to assess the factors (i.e., usefulness and ease of use) affecting a manager’s intention to use BI. In addition, the relationship between the intention to read information and the intention to create reports is linked using Dholakia and Bagozzi (D&B) model. A survey of 271 managers supports the proposed model. The empirical results show that the usefulness of BI directly and indirectly affects the intention to read information. Both the reading and creating interfaces of BI affect the intention to read information and the intention to create reports, respectively. The intention to read information positively and significantly affects the intention to create reports. Given the empirical findings, this study provides theoretical and managerial insights for organizations and managers.     

Exploring managers' intention to use business intelligence: the role of motivations

In recent years, the amount of information has been growing quickly within organisations. Thus, several organisations have implemented analytics and business intelligence (BI) for Big Data solutions. To effectively foster the acceptance and usage of BI, this study examines how the motivational factors of both expectancy theory and social exchange theory (SET) affect managers' willingness to utilise BI. A survey of 271 managers supports the proposed model. The results show that intangible rewards of expectancy theory significantly influence the intention to read information (IRI) through the desire to make good decisions. Benefit factors (organisational rewards, reputation, and reciprocity) of SET are significantly associated with the desire to exchange reports (DER). The IRI significantly directly and indirectly influences the intention to create reports through the DER. Given the empirical findings, this study provides theoretical and managerial insights for organisations.     

基于SAP的BI分析与应用

BI即商务智能,商务智能指利用数据仓库、数据挖掘技术对客户数据进行系统的储存和管理.通过各种数据统计分析工具对客户数据进行分析,提供各种分析报告.ERP数据分类综合分析项目为例,分析了BI技术的实现以及应用.     

基于XML元数据和Schema的Excel信息提取研究

针对地质工作单位中使用的复杂格式的Excel报表中的信息同数据库之间转储的困难,提出了采用XML语言描述的元数据模型来辅助表达Excel报表中的信息。使用XML Schema定义XML元数据语法,使得基于元数据的应用程序来提取Excel报表中信息变得更加灵活通用。     

Biological and artificial intelligence

The paper discusses the characteristics of Biological Intelligence (BI) and its differences with artificial intelligence. In particular the plasticity of the nervous system is considered in the different forms with special attention to deterministic and localizationist views of the brain vs holistic approaches. When memory and learning are considered the localizationist views do not offer a possible solution to a number of problems while memory may be better conceptualized in terms of categorization procedures and generalizing strategies. Finally, the problem of individual variability, an important feature in terms of BI, is considered. The legitimacy of analogies between BI and AI is discussed and the necessity for an innovative approach to the field of AI is stressed.     

基于报表和模板的报告生成方法研究

随着电力报表在输变电运维中的普及以及数据分析报告生成的迫切需求,急需一种将报表数据转换成可用的分析报告的方法.本文针对上述需求,提出了一套完整的基于电力报表和Apache POI技术的分析报告生成流程,实现了将历史数据以图表的形式嵌入预设模板中,并最终形成格式统一的分析报告,有效地提高了数据分析人员的效率.     

Factors influencing business intelligence (BI) data collection strategies: An empirical investigation

This paper examines external pressures that influence the relationship between an organization's business intelligence (BI) data collection strategy and the purpose for which BI is implemented. A model is proposed and tested that is grounded in institutional theory, research about competitive pressure, and research about the purpose of BI. Two data collection strategies (comprehensive and problem driven) and three BI purposes (insight, consistency, and transformation) are examined. Findings provide a theoretical lens to better understand the motivators and the success factors related to collecting the huge amounts of data required for BI. This study also provides managers with a mental model on which to base decisions about the data required to accomplish their goals for BI.     

面向企业信息基础设施集成的商务智能系统框架

商务智能系统是多种技术的综合体，提出了面向企业信息基础设施集成的闭环商务智能系统框架，商务智能系统的生命周期和信息、知识在其中的作用。以及通过现有的企业信息基础设施构建商务智能系统，通过商务智能系统达到持续优化的方法，使用包含企业本体论、商务过程模型、元数据仓库的企业元模型和两级映射模式对集成过程中的语义一致性进行控制。     

Rock brittleness prediction through two optimization algorithms namely particle swarm optimization and imperialism competitive algorithm

Brittleness index (BI) is a significant rock parameter when dealing with projects performed in rocks. The main goal of this research work is to propose the novel practical models to predict the BI through particle swarm optimization (PSO) and imperialism competitive algorithm (ICA). For this aim, two forms of equations, i.e., linear and power are considered and the weights of these equations are optimized by PSO and ICA. In the other words, four predictive models, namely ICA linear, ICA power, PSO linear, and PSO power models are developed to predict BI in this study. In the modeling of the predictive models, 79 datasets are used, so that Schmidt hammer rebound number, wave velocity, density, and Point Load Index (Is₅₀) are selected as the independent (input) parameters and the BI values are considered as the dependent (output) parameter. Then, the performances of the proposed predicting models are checked using two error indices, namely coefficient correlation (R²) and root mean squared error (RMSE). The results showed that the PSO power model has superior fitting specification for the prediction of the BI compared to the other prediction models and is quite practical for use. As a result, linear and power models of PSO received higher performance prediction compared to ICA. PSO power (with R² train = 0.937, R² test = 0.959, RMSE train = 0.377 and RMES test = 0.289) showed the most powerful technique to predict BI of the granite samples.

     

基于设计模式的报表生成组件的设计与实现

文章对实际中应用的报表格式进行了分析、归类,探讨了各类格式报表的生成算法,同时根据对报表格式的分类,提出了一种基于策略模式的报表生成组件模型,并使用Delphi,采用COM技术,利用MicrosoftWord组件模型对这种报表生成组件模型对进行了实现。