基于大数据的企业商务智能的应用问题与对策

随着信息技术的快速发展，企业商务智能的应用已经成为提高竞争力和决策效率的重要手段。文中深入分析了基于大数据的企业商务智能的应用问题与对策，探讨了如何利用大数据资源，提高商务智能应用的效果和效率。通过文中的研究，希望能为基于大数据的企业商务智能应用提供有益的参考，并为相关领域的研究和实践提供新的思路和方法。     

Intelligent Business Analytics — A Tool to Build Decision-Support Systems for eBusinesses

An important principle in managing any business is ‘What can't be measured, can't be managed’. The complexity of businesses today means that in order to measure business performance one needs to perform considerable analysis of data gathered in vast quantities on a regular basis. Therefore data analysis is at the heart of decision making in all business applications. There is, however, a significant degree of manual intervention in preparing, presenting and analysing business data. Recent advances in intelligent software technology have produced a number of novel techniques to model the human decision-making process. Data analysis tools have in the past been used by businesses mainly as a reactive tool. The pace of change and increased competition means that those businesses that can turn data into information and then into action quickly will have a better chance to survive and out-manoeuvre their rivals. This requires a fundamental change in the way data is used in the enterprise, from a reactive manner to a proactive one. The implications of recent changes can be significant on the level of skilled resources required as well as the cost of such operations. Intelligent software can play an important role in automating the analysis process and up-skill the business users. In this paper we will describe the intelligent business analytics (IBA) platform and two applications developed using it. The paper will focus on soft computing as an emerging technology suitable for incorporation into business analytics applications to model hidden patterns in data and to explain such patterns automatically. This revised version was published online in July 2006 with corrections to the Cover Date.     

中国联通数据管理体系规划与建设

如今对于企业来说,数据已经成为企业战略和在激烈的市场竞争中取得优势地位的关键。企业管理的核心是决策,而决策的依据是数据,只有准确把握信息和数据,才能为企业的运营状况把脉。本文深刻分析企业数据管理的现状,提出数据管理的六大目标,明确数据的分类与分布,并最终从组织、标准、规程、技术保障四方面去构建完整的数据管理体系。     

Enterprise traffic with a differentiated service mechanism

As an enterprise grows, its network bandwidth requirement also increases dramatically. Network performance of an enterprise will impact its operational performance. How do we efficiently manage an enterprise network's resources in an E‐business era? This research proposes a differentiated service mechanism to manage traffic flows in an enterprise. This mechanism would enhance the performance of an enterprise network and help an enterprise efficiently transmits important information. With a high‐performance enterprise network, the enterprise can then operate more efficiently and improves its competitive capability. Copyright © 2001 John Wiley & Sons, Ltd.     

经营分析系统数据质量保障体系综述

经营分析系统数据质量的高低决定了企业精确管理和科学决策的精度。从经营分析系统的数据质量存在问题的原因入手,提出了数据质量评价的五大指标,论述了相关管理制度和流程的保障体系,提出了收敛数据源、元数据管理、编码管理、审核校验、数据交互QC机制等技术保障方法。     

An Investigative Testing of Structured and Unstructured Data Formats in Big Data Application Using Apache Spark

Apache Spark programming framework provides an effective and vigorous open-source solution for Big data testing and management. It offers a rich set of big data applications through a programming interface. Testing procedures deliver optimum solutions to complex business problems like analyzing large data volumes. A typical test engineer demands manual to automatic testing which assists the testing strategy with minimal effort. Big data testing means, verification, and validation of data while storing and processing it. This research paper demonstrates the challenges with new high-performance analytics for simpler and faster testing processing of relevant data. It enables, timely and accurate insights using Big data testing predict analytics and can manage large quantities of Structured, Semi-structured, and Unstructured data forms with spark analysis. These methods are evaluated using Extract, Transformation, Loading, and Apache spark procedures. The proposed Big data testing method has statistically outperformed conventional procedures.

     

Smart integrated IoT healthcare system for cancer care

The emergence of the internet of things (IoT) has drastically influenced and shaped the world of technology in the contexts of connectivity, interconnectivity, and interoperability with smart connected sensors, objects, devices, data, and applications. In fact, IoT has brought notable impacts on the global economy and human experience that span from industry to industry in a variety of application domains, including healthcare. With IoT, it is expected to facilitate a seamless interaction and communication of objects (devices) with humans in the environment. Therefore, it is imperative to embrace the potentials and benefits of IoT technology in healthcare delivery to ensure saving lives and to improve the quality of life using smart connected devices. In this paper, we focus on the IoT based healthcare system for cancer care services and business analytics/cloud services and also propose the adoption and implementation of IoT/WSN technology to augment the existing treatment options to deliver healthcare solution. Here, the business analytics/cloud services constitute the enablers for actionable insights, decision making, data transmission and reporting for enhancing cancer treatments. Furthermore, we propose a variety of frameworks and architectures to illustrate and support the functional IoT-based solution that is being considered or utilized in our proposed smart healthcare solution for cancer care services. Finally, it will be important to understand and discuss some security issues and operational challenges that have characterized the IoT-enabled healthcare system.

     

Intelligent process analytics for CRM

Many organisations use decision models in their processes such as tables or trees to provide decision support to their operational divisions. For example, in fault management, customer contact centre operators usually use a decision model in the form of prescribed interviews. Based on the answers given by customers, the operator navigates through the decision model to reach an assessment of the problem. In order to achieve customer satisfaction and operational excellence, it is very important to constantly monitor the performance of a decision model not only on an overall level, but also on the level of individual decisions. In this paper we present a configurable business process analytics tool, known as the intelligent Universal Service Management System, that constantly monitors decision data and is capable of optimising the decisions based on high-level business objectives. We explain the various features of the software and show how it can be used to optimise decision processes. We also show how we can easily provide a customised version to monitor the performance of provision processes.     

An interactive approach for selecting IR&D projects

The authors present a strategy for systematically allocating resources to competing independent research and development (IR&D) projects in a company building systems for the US Department of Defense. The approach is less mathematically complex than many techniques reported in the literature, utilizing the judgement of key business and technical elements in the organization. The authors first give a taxonomy characterizing various approaches and briefly review R&D selection methods reported in literature. Then they describe an interactive process that they have developed for selecting IR&D projects which, rather than substituting complex calculations for good technical and material judgement, facilitates better utilization of the expertise of various organizational elements within the context of corporate strategic planning. Procedures are included for idea submittal and evaluation. Experiences are discussed obtained during the application of the process to a corporation with multiple business units     

信息系统在企业物流中的应用研究

随着经济的发展,物流在企业管理中的作用和影响越来越大,有的甚至决定了企业的盈亏。那么信息在企业物流中又起到什么作用呢?在企业的物流中工作流程又是怎样的?针对企业物流信息系统的应用现状,对企业物流业务流程和信息流程及结构进行了分析和研究,对未来现代企业如何进行科学化的物流管理提供一些参考意见。     

基于Seam的企业客户服务平台设计与实现

为了提高企业对客户信息化服务水平和整体运作效率,减轻工作人员的劳动强度,提升服务品质,全面降低企业运作成本,设计了一种基于Web的客户服务平台。重点研究了Seam的系统模型以及其总体架构、业务流程、功能模块和物理结构。应用结果表明,该方案可有效地集成和管理实现企业客户服务信息管理系统的网络化,系统实施之后,企业客户服务的工作效率得到了明显的提高。     

Growing a Not-For-Profit R&D Operation

The independent not-for-profit, research & development (R&D) organization can contribute materially to the welfare and security of our populace. It is like a for-profit organization in the sense that it must operate in an effective mode and therefore has many similar operational characteristics. This paper succinctly summarizes important general operational elements, such as, income streams, principal business concerns, return-on-investment, business cycle, and principal tools. Other aspects given may be somewhat different from the norm. The operational needs may contain a different element that is termed staff technical advisory group. This element advises management on new technical business directions. Other elements covered are two approaches for business promotion using imagination and creativity to create new markets     

A framework for evaluating ERP implementation choices

A key issue in enterprise resource planning (ERP) implementation is how to find a match between the ERP system and an organization's business processes by appropriately customizing both the system and the organization. In this paper, we advance a framework for supporting management decision-making about customization choices and the capabilities required to accomplish them. In this framework, we identify various customization possibilities for business processes as well as ERP systems. We also identify technical and process change capabilities required for system and process customization. Combining customization options with change capabilities, we present a useful way for managers to identify feasible customization options for their particular organization. Such a framework also helps managers to recognize the gap between desired customization options and change capabilities. A case study is used to illustrate the application of the framework.     

电信运营商指挥调度体系组织架构总体研究（下）

电信运营商承办世界级重大活动时,需要进行技术支撑、业务运营、服务周全等高效调度管理,对运营商的综合应对能力、现代化企业管理水平是一种严峻考验。本文深入剖析电信运营商公司内部组织架构、业务运行机制,从可行性角度入手,研究对电信运营商通用的指挥调度机制,从网络、市场、服务等方面,搭建立体化工作体系架构,并结合运营商内部的运营体制、操作机制、工作流程,详细阐述应对大型活动的组织机构调整、人力资源调度以及信息运行模式构建等全方位保障策略,建立一套完整的指挥组织调度体系架构,以实现大型活动中公司组织得力、响应快速、统筹协调的应对策略,并形成初步指导性建设方案。     

电信运营商指挥调度体系组织架构总体研究(上)

电信运营商承办世界级重大活动时,需要进行技术支撑、业务运营、服务周全等高效调度管理,对运营商的综合应对能力、现代化企业管理水平是一种严峻考验。本文深入剖析电信运营商公司内部组织架构、业务运行机制,从可行性角度入手,研究对电信运营商通用的指挥调度机制,从网络、市场、服务等方面,搭建立体化工作体系架构,并结合运营商内部的运营体制、操作机制、工作流程,详细阐述应对大型活动的组织机构调整、人力资源调度以及信息运行模式构建等全方位保障策略,建立一套完整的指挥组织调度体系架构,以实现大型活动中公司组织得力、响应快速、统筹协调的应对策略,并形成初步指导性建设方案。     

Operational risk management with real-time business intelligence

Operational risk is a function of the complexity of the business and the environment that the business operates in. Such complexities increase as the business or the environment become more dynamic, i.e. where change is a permanent feature and a factor to build into the management of the business. The key question that arises is how do businesses respond to such changes today and, if the nature of the business and the environment is becoming more and more dynamic, what actions can businesses take to predict and prepare for change. Viewed in this manner, operational risk becomes very closely related to the operational performance of the enterprise because it can be considered as dealing with changes that have a negative impact on the operational objectives. It is vital for enterprises to understand in real time how they are performing, and where on the spectrum of operational risk they are positioned. To accomplish this, it is essential to have a system for establishing the status of a business at any moment in time in relation to its performance objectives. This is the role of real-time business intelligence (RTBI), without which operational risk management could be out of date, or in some cases out of synchronisation with the business cycle, with serious consequences. This paper discusses the cornerstones of RTBI and demonstrates how these are also essential elements of an effective operational risk management framework.     

A Methodology for Determining the Return on Investment Associated With Prognostics and Health Management

Prognostics and Health Management (PHM) provides opportunities for lowering sustainment costs, improving maintenance decision-making, and providing product usage feedback into the product design and validation process. However, support for PHM is predicated on the articulation of clear business cases that quantify the expected cost and benefits of its implementation. The realization of PHM requires implementation at different levels of scale, and complexity. The maturity, robustness, and applicability of the underlying predictive algorithms impact the overall efficacy of PHM within an enterprise. The utility of PHM to inform decision-makers within tight scheduling constraints, and under different operational profiles likewise affects the cost avoidance that can be realized. This paper discusses the calculation of Return on Investment (ROI) for PHM activities, and presents a study conducted using a stochastic discrete event simulation model to determine the potential ROI offered by electronics PHM. The case study of a multifunctional display in a Boeing 737 compares the life cycle costs of a system employing unscheduled maintenance to the same system using a precursor to failure PHM approach.      

油气企业数字化转型发展现状研究

数字化技术的进步带来了对传统企业决策方式、生产方式、工作方式的巨大冲击,尤其对于油气行业,数字化转型已成为重塑经营管理模式、抢夺战略竞争优势的重要手段。文章从战略举措、创新实践、保障措施3方面对全球领先油气企业数字化转型发展现状进行研究,为后续油气企业推动数字化转型工作提供借鉴。     

有线电视企业分公司绩效管理与目标考核模式初探

在三网融合的大背景下,广电网络企业应首先实现绩效管理水平的跨越式提升,才能在企业化道路上有所作为,而分公司处于企业的基础作业层次,是经营创收和成本控制的主体部位和关键环节。结合有线电视企业的特点,设计了对分公司进行绩效考核管理的框架,对考核过程中的指标制定、程序方法、结果应用及绩效沟通等环节进行了详细分析和阐述,其研究成果对分公司体制下的广电网络企业实施绩效管理与目标考核具有现实意义和指导价值。     

Fuzzy cognitive maps in business analysis and performance-driven change

Business process reengineering (BPR) has made a significant impact on managers and academics. Despite the rhetoric surrounding BPR, articulated mechanisms, which support reasoning on the effect of the redesign activities to the performance of the business model, are still emerging. This paper describes an attempt to build and operate such a reasoning mechanism as a novel supplement to performance-driven change (PDC) exercises. This new approach proposes the utilization of the fuzzy causal characteristics of fuzzy cognitive maps (FCMs) as the underlying methodology in order to generate a hierarchical and dynamic network of interconnected performance indicators. By using FCMs, the proposed mechanism aims at simulating the operational efficiency of complex process models with imprecise relationships to quantify the impact of performance-driven reengineering activities. This research also establishes generic maps that supplement the strategic planning and business analysis phases of typical redesign projects in order to implement the integration of hierarchical FCMs into PDC activities. Finally, this paper discusses experiments with the proposed mechanism and comments on its usability.