scholarly journals Implementation of OLAP (On-Line Analytical Processing) on car parts sale of Mercedes Benz (Case study: PT. Mass Sarana Motorama)

2014 ◽  
Author(s):  
Nenny Anggraini ◽  
Nurul Faizah Rozy ◽  
Ryan Mahardika Putra
Keyword(s):  
On Line ◽  
Analytical Processing ◽  
On Line Analytical Processing

Objective and Subjective Aspects of Decision-Making Support at the Mesoeconomic Level

2016 ◽  
pp. 183-215
Author(s):  
Anastasia Y. Nikitaeva
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Cognitive Mapping ◽  
Objective Data ◽  
Management Effectiveness ◽  
Cognitive Approach ◽  
Multi Attribute Utility Theory ◽  
On Line ◽  
Analytical Processing

This chapter substantiates the importance of improving management effectiveness of mesoeconomic systems in current economic conditions and the features of mesoeconomy as a management object which defines the high complexity of decision making at the meso level. There are approaches, methods, and technologies which provide support of the decision making process via the integration of formal methods for objective data analysis and methods of accounting to solve semi-structured complex problems of mesoeconomy. A cognitive approach, and an approach involving the integration of the On-Line Analytical Processing and Data mining technologies with methods of a multi-criteria assessment of alternative, in particular methods of Multi-Attribute Utility Theory are considered in the chapter. Cognitive mapping of interaction between state and business in a mesoeconomic system are included as a case-study.

On-Line Analytical Processing at Washtenaw Mortgage

2011 ◽  
pp. 196-216
Author(s):  
John H. Heinrichs ◽  
William J. Doll
Keyword(s):  
Information Systems ◽  
Market Analysis ◽  
Ease Of Use ◽  
Executive Information Systems ◽  
Analysis Application ◽  
On Line ◽  
Stage Process ◽  
Analytical Processing ◽  
On Line Analytical Processing ◽  
Strategic Market

In an ever-changing, competitive marketplace, executive information systems (EIS) promise the ability to simultaneously assess factors in both the internal and external environment, enabling a timely competitive response. EIS are enjoying a renaissance due to the recent emergence of on-line analytical processing (OLAP) capabilities. OLAPs power, flexibility and ease of use supports mental model (knowledge) creation better than traditional executive information systems. This case study allows you to examine the usefulness and ease of use of OLAP technology for strategic market analysis at Washtenaw Mortgage Company, a firm in the mortgage wholesale industry. The key to improving competitive performance is not the technology, but rather, how the technology is utilized to focus managements analysis. Gaining strategic insights requires three ingredients people, process, and technology. A three-stage process used for implementing an OLAP strategic market analysis application is presented. OLAP technology marks an evolutionary improvement in EIS software. The potential of this technology, however, is not likely to be realized without a better understanding of the process for achieving management focus.

On-Line Analytical Processing at Washtenaw Mortgage Company

2011 ◽  
pp. 196-216
Author(s):  
John H. Heinrichs ◽  
William J. Doll
Keyword(s):  
Information Systems ◽  
Market Analysis ◽  
Ease Of Use ◽  
Executive Information Systems ◽  
Analysis Application ◽  
On Line ◽  
Stage Process ◽  
Analytical Processing ◽  
On Line Analytical Processing ◽  
Strategic Market

In an ever-changing, competitive marketplace, executive information systems (EIS) promise the ability to simultaneously assess factors in both the internal and external environment, enabling a timely competitive response. EIS is enjoying a renaissance due to the recent emergence of on-line analytical processing (OLAP) capabilities. OLAP’s power, flexibility and ease of use supports mental model (knowledge) creation better than traditional executive information systems. This case study allows you to examine the usefulness and ease of use of OLAP technology for strategic market analysis at “Washtenaw Mortgage Company”, a firm in the mortgage wholesale industry. The key to improving competitive performance is not the technology, but rather, how the technology is utilized to focus management’s analysis. Gaining strategic insights requires three ingredients – people, process, and technology. A three-stage process used for implementing an OLAP strategic market analysis application is presented. OLAP technology marks an evolutionary improvement in EIS software. The potential of this technology, however, is not likely to be realized without a better understanding of the process for achieving management focus.

Closing Ontologies to Define OLAP Systems

2014 ◽  
Vol 4 (4) ◽  
pp. 1-16
Author(s):  
Manuel Torres ◽  
José Samos ◽  
Eladio Garví
Keyword(s):  
Domain Ontology ◽  
The Other ◽  
Other Hand ◽  
On Line ◽  
Analytical Processing ◽  
On Line Analytical Processing ◽  
Basic Approaches ◽  
The One

Ontologies can be used in the construction of OLAP (On-Line Analytical Processing) systems. In such a context, ontologies are mainly used either to enrich cube dimensions or to define ontology based-dimensions. On the one hand, if dimensions are enriched using large ontologies, like WordNet, details that are beyond the scope of the dimension may be added to it. Even, dimensions may be obscured because of the massive incorporation of related attributes. On the other hand, if ontologies are used to define a dimension, it is possible that a simplified version of the ontology is needed to define the dimension, especially when the used ontology is too complex for the dimension that is being defined. These problems may be solved using one of the existing mechanisms to define ontology views. Therefore, concepts that are not needed for the domain ontology are kept out of the view. However, this view must be closed so that, no ontology component has references to components that are not included in the view. In this work, two basic approaches are proposed: enlargement and reduction closure.

Basic Notions on Multidimensional Aggregate Data

2005 ◽  
pp. 211-216
Author(s):  
Maurizio Rafanelli
Keyword(s):  
Economic Analysis ◽  
Statistical Data ◽  
Aggregate Data ◽  
Data Cube ◽  
Application Field ◽  
Business Analysis ◽  
On Line ◽  
Analytical Processing ◽  
On Line Analytical Processing ◽  
New Applications

The term multidimensional aggregate data (MAD; see Rafanelli, 2003) generally refers to data in which a given fact is quantified by a set of measures obtained applying one more or less complex aggregative function (count, sum, average, percent, etc.) to row data, measures that are characterized by a set of variables, called dimensions. MAD can be modeled by different representations, depending on the application field which uses them. For example, some years ago this term referred essentially to statistical data, that is, data whose use is essentially of socio-economic analysis. Recently, the metaphor of the data cube was taken up again and used for new applications, such as On-Line Analytical Processing (OLAP), which refer to aggregate and non aggregate data for business analysis.

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