Evolution of Business Intelligence System: From Ad-Hoc Report to Decision Support System to Data Lake Based BI 3.0

2021 ◽  
pp. 255-269
Author(s):  
Sapna Sinha ◽  
Arvind Panwar ◽  
Preeti Gupta ◽  
Vishal Bhatnagar
2011 ◽  
Vol 403-408 ◽  
pp. 426-431
Author(s):  
Chang Shan Li

With the rapid economic operation, intensified market competition, the enterprise’s requirement on the quality of accounting information is getting higher and higher. It is also a subject faced by enterprise that how to construct the accounting informationization scientifically, reasonably and efficiently to ensure that accounting information system is operated safely, effectively and in real-time. ERP represents a higher level among current accounting informationization. The implementation of ERP in medium and small enterprises has more advantages than that in large enterprises, if strategy properly, it will greatly improve the success rate for ERP implementation. Enterprises carried out ERP successfully should promote the establishment of decision support system and business intelligence system at proper time. Although the medium and small enterprises have a advantage ERP implementation, to implement ERP successfully, they need to have correct cognition on it, well solve the relationship between “top leader” and team building, make correct choice, construct ERP system in step with certain focal points according to their plan as well as persist in the training of entire staff and intensifying the job of enterprise data management. Enterprises successfully implemented ERP should take decision support system and business intelligence system as their next target in accounting informationization.


2004 ◽  
Vol 20 (03) ◽  
pp. 147-163
Author(s):  
Osman Turan ◽  
Selim Alkaner ◽  
Aykut i. Ölçer

Ship design today can be viewed as an ad hoc process. It must be considered in the context of integration with other design development activities, such as production, costing, quality control, and so forth. Otherwise, it is possible for the designer to design a ship that is difficult to produce, requires high material or labor cost, or contains some design flaws that the production engineers have to correct or send back for redesigning before production can be done. Any adjustment required after the design stage will result in a penalty of extra time or cost. Deficiencies in the design of a ship will influence the succeeding stages of production. In addition to designing a ship that fulfills producibility requirements, it is also desirable to design a ship that satisfies risk, performance, cost, and customer requirements criteria. More recently, environmental concerns, safety, passenger comfort, and life-cycle issues are becoming essential parts of the current shipbuilding industry. Therefore, "design for X paradigm" should also be considered during the ship design stages. An integrated multiple attributive decision support system for producibility evaluation in ship design (PRODEVIS) is developed to use by industry and researchers in evaluating the producibility of competing ship designs and design features during the early stages of ship design by taking into account cost, performance, risk, and "design for X paradigm" attributes. This developed approach is a fuzzy multiple attributive group decision-making methodology where feasible design alternatives are conducted by a ship production simulation technique. In this approach, an attribute-based aggregation technique for a heterogeneous group of experts is employed and used for dealing with fuzzy opinion aggregation for the subjective attributes of the ship design evaluation problem. The developed methodology is illustrated with a case study.


Author(s):  
Ionuț Anica-Popa ◽  
Gabriel Cucui

Nowadays Competitive Intelligence (CI) represents one of the most important pieces in strategic management of organizations in order to sustain and enhance competitive advantage over competitors. There are some studies that claim that a successful strategic management is influenced by the accuracy of external environment’s evaluation and, in the same time, in order to have correct and complete business strategies it is necessary to be sustained by competitive advantage. But till at the beginning of ’80 the things were totally different. This paper will present the evolution and the objectives of CI, the results of using CI in organizations and how can be improved the CI process using tools and techniques provided by business intelligence (BI). The study will propose a framework of a decision support system based on web mining techniques in order to enhance capabilities of organization’s competitive intelligence.


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