Facilitate Effective Decision-Making by Warehousing Reduced Data

2015 ◽  
Vol 7 (3) ◽  
pp. 36-64 ◽  
Author(s):  
Faten Atigui ◽  
Franck Ravat ◽  
Jiefu Song ◽  
Olivier Teste ◽  
Gilles Zurfluh

The authors' aim is to provide a solution for multidimensional data warehouse's reduction based on analysts' needs which will specify aggregated schema applicable over a period of time as well as retain only useful data for decision support. Firstly, they describe a conceptual modeling for multidimensional data warehouse. A multidimensional data warehouse's schema is composed of a set of states. Each state is defined as a star schema composed of one fact and its related dimensions. The derivation between states is carried out through combination of reduction operators. Secondly, they present a meta-model which allows managing different states of multidimensional data warehouse. The definition of reduced and unreduced multidimensional data warehouse schema can be carried out by instantiating the meta-model. Finally, they describe their experimental assessments and discuss their results. Evaluating their solution implies executing different queries in various contexts: unreduced single fact table, unreduced relational star schema, reduced star schema and reduced snowflake schema. The authors show that queries are more efficiently calculated within a reduced star schema.

Equilibrium ◽  
2009 ◽  
Vol 2 (1) ◽  
pp. 171-180
Author(s):  
Michał Kukliński

In the twenty-four hours of computerised enterprises, recruiting huge amounts of data, processing them in the traditional way would be highly ineffective and it will not deliver to us so much interesting information, forecasts and the relation, as Business Intelligence systems, of which Data Warehouses are a basis. The publication is answering questions: what the data warehouse is what is serving for and what are examples of applying. Stages of the build of the Data Warehouse and factors assuring achieving success in taking economic decisions will be introduced.


2021 ◽  
Vol 2 (6) ◽  
pp. 4-7
Author(s):  
R. T. GALYAUTDINOV ◽  
◽  
D. V. KASTORSKIY ◽  

The article highlights the theoretical approaches to the definition of systems that allow optimizing the decision-making process in modern enterprises. In this aspect, the issues related to the problem of uncertainty in decision-making in the field of resource support for the activities of these enterprises are considered, and the ways of measures to improve this process at the enterprise of JSC «Russian Space Systems» are proposed.


Author(s):  
András Sajó ◽  
Renáta Uitz

This chapter examines the relationship between parliamentarism and the legislative branch. It explores the evolution of the legislative branch, leading to disillusionment with the rationalized law-making factory, a venture run by political parties beyond the reach of constitutional rules. The rise of democratically bred party rule is positioned between the forces favouring free debate versus effective decision-making in the legislature. The chapter analyses the institutional make-up and internal operations of the legislature, the role of the opposition in the legislative assembly, and explores the benefits of bicameralism for boosting the powers of the legislative branch. Finally, it looks at the law-making process and its outsourcing via delegating legislative powers to the executive.


2013 ◽  
Vol 28 (3) ◽  
pp. 577-587 ◽  
Author(s):  
Donghyun Kim ◽  
Deying Li ◽  
Omid Asgari ◽  
Yingshu Li ◽  
Alade O. Tokuta ◽  
...  

2005 ◽  
Vol 11 (1) ◽  
pp. 133-166
Author(s):  
M. Iqbal

ABSTRACTIn the recent past life companies have made many decisions which they have had cause to deeply regret. This paper looks at the range of decision making theories available. It then examines recent examples of decisions that had unfavourable consequences and explores why they were taken, and goes on to describe a systematic approach to decision making which can help management assess more objectively the difficult choices confronting them today. The approach does not require espousal of any specific decision theory or method of value measurement. The focus is on the decision making process and the organisation's capacity to handle change. The paper identifies the three requirements for effective decision making.


2011 ◽  
Vol 225-226 ◽  
pp. 407-410 ◽  
Author(s):  
Wan Qing Li ◽  
Mu Jie Chen ◽  
Wen Qing Meng

An unascertained measure-entropy evaluation model for the program selection of shaft construction under complex conditions is established so that a scientific and effective decision making method is provided in this paper, the evaluation model of shaft construction is established based on unascertained measure and entropy weight theory, then, the model proposed in this paper is applied to evaluate three shaft construction program comprehensively, and the evaluation results show validity and applicability of the model.


Author(s):  
Raj Veeramani ◽  
Narayanan Viswanathan ◽  
Shailesh M. Joshi

Abstract New approaches for decision making are emerging to support the use of the Internet for supply-web interactions in the manufacturing industry. In this paper, we discuss one such paradigm, namely similarity-based decision support. It recognizes that knowledge of similar experiences can support rapid and effective decision making in various forms of supply-web interactions. We illustrate this approach using two prototype systems, WebScout (an agent-based system for customer–supplier matchmaking in the job-shop machining industry context) and TOME (Treasury of Manufacturing Experiences — an Intranet application to aid manufacturability assessment in foundries).


Sign in / Sign up

Export Citation Format

Share Document