Implementation of Business Intelligence in Product Services a Banking (Case Study: PT Bank Sumsel Babel Baturaja Branch)

2017 ◽  
Vol 9 (2) ◽  
Author(s):  
Sekar Sari Wiradarma ◽  
Ken Dhita Tania ◽  
Dinna Yunika Hardiyanti
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Quality Information ◽  
Product Data ◽  
Product Service ◽  
History Of ◽  
Adaptive Nature ◽  
User Friendly ◽  
Intelligence Application

AbstractBusiness Intelligence (BI) is a collection of theories, methodologies, processes, architectures, and technologies that convert raw data into quality information for business purposes. BI can handle a large amount of information that can help in identifying problems and developing new opportunities. In designing and implementing Business Intelligence (BI) concept for monitoring banking product service using reference business intelligence roadmap approach. Business intelligence roadmap is one example of BI development that can be emulated because of its agile and adaptive nature and is intended to support the development of BI. By utilizing Business Intelligence application on transaction history of banking product data, it is hoped able to produce information that can support in giving recommendation and decision making appropriately. The data and information generated also become more accessible and easier to understand (user friendly).Keywords: business intelligence, business intelligence roadmap, OLAP, banking products

Learning from failures: Design improvements using a multiple criteria decision-making process

2003 ◽  
Vol 217 (4) ◽  
pp. 207-216 ◽  
Author(s):  
G G Davidson ◽  
A W Labib
Keyword(s):  
Decision Making ◽  
Failure Modes ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Mathematical Representation ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Invaluable Tool ◽  
History Of

This paper proposes a new concept of decision analysis based on a multiple criteria decision making (MCDM) process. This is achieved through the provision of a systematic and generic methodology for the implementation of design improvements based on experience of past failures. This is illustrated in the form of a case study identifying the changes made to Concorde after the 2000 accident. The proposed model uses the analytic hierarchy process (AHP) mathematical model as a backbone and integrates elements of a modified failure modes and effects analysis (FMEA). The AHP has proven to be an invaluable tool for decision support since it allows a fully documented and transparent decision to be made with full accountability. In addition, it facilitates the task of justifying improvement decisions. The paper is divided as follows: the first section presents an outline of the background to the Concorde accident and its history of related (non-catastrophic) malfunctions. The AHP methodology and its mathematical representation are then presented with the integrated FMEA applied to the Concorde accident. The case study arrives at the same conclusion as engineers working on Concorde after the accident: that the aircraft may fly again if the lining of the fuel tanks are modified.

Social Media Tools for Quality Business Information

2018 ◽  
pp. 883-912 ◽  
Author(s):  
Sérgio Maravilhas
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Raw Material ◽  
Service Development ◽  
Quality Information ◽  
Work Sharing ◽  
Product Service ◽  
Social Media Tools ◽  
Globalized World

Information, as a tool to reduce uncertainty and to develop knowledge in organizations, is an important aid in the decision-making process and must be of quality to improve its value. We are living in an information society where organizational and personal life are mediated by information and knowledge, with the help of technologies that gather, disseminate, and deliver that raw material to support our decisions. There are several characteristics that describe the quality of information that will allow the analysis of the value of the information used. In the globalized world we are living in, quality information warrants best results when competing with other organizations. Its value is related to the results that it will allow to be obtained and the dependability on its context. Marketing trends and competitive information is needed for clear decision making about what products to develop, for what customers, at what cost, through which distribution channels, reducing the uncertainty that a new product/service development always brings with it. Social Media tools allow the knowledge of competitor's moves and the analysis of trends from the communications exchanged in the networks of individual consumers, making it easy for companies to develop solutions according to their clients and prospects desires. Learning how to extract quality information, unbiased, valuable for business, from these social tools is the aim of this work, sharing with the interested parties some ways of using it for their profit and competitive sustainability.

Suggested Model for Business Intelligence in Higher Education

Data Mining ◽  
2013 ◽  
pp. 550-566 ◽  
Author(s):  
Zaidoun Alzoabi ◽  
Faek Diko ◽  
Saiid Hanna
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Business Intelligence ◽  
University Management ◽  
Suggested Model ◽  
Business Decision ◽  
Data Mining Approach ◽  
Input Processing ◽  
The University

BI is playing a major role in achieving competitive advantage in almost every sector of the market, and the higher education sector is no exception. Universities, in general, maintain huge databases comprising data of students, human resources, researches, facilities, and others. Data in these databases may contain decisive information for decision making. In this chapter we will describe a data mining approach as one of the business intelligence methodologies for possible use in higher education. The importance of the model arises from the reality that it starts from a system approach to university management, looking at the university as input, processing, output, and feedback, and then applies different business intelligence tools and methods to every part of the system in order to enhance the business decision making process. The chapter also shows an application of the suggested model on a real case study at the Arab International University.

Tailorable Technologies for Improving Business Intelligence Systems

2021 ◽  
pp. 560-575
Author(s):  
Shah J. Miah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Conceptual Framework ◽  
Business Intelligence ◽  
Cost Effective ◽  
Business Owners ◽  
Business Intelligence Systems ◽  
Effective Operation

The Australian farm-based businesses can be benefited from specially designed applications for cost-effective operation while maximizing profits to survive in economic and environmental crises. For decision support, existing business intelligence systems (BIS) approaches scarcely deal with specific user's provisions to adjust changing situations in decision making, without extra technical exertions. In this chapter, the authors describe a conceptual framework of tailorable BIS solution that is based on case study findings in that the highlighted requirements are relevant to address changing situations through enhancing end user's engagement. The activities of end user's engagement supported through the use of tailorable features that reinforce a shift from the traditional BIS process to a new provision where business owners can actively involve in adjusting their features to their decision support.

Business Intelligence System Design and its Consequences for Knowledge Sharing, Collaboration, and Decision-Making

2020 ◽  
pp. 382-402
Author(s):  
Lapo Mola ◽  
Cecilia Rossignoli ◽  
Andrea Carugati ◽  
Antonio Giangreco
Keyword(s):  
Decision Making ◽  
Knowledge Sharing ◽  
Business Intelligence ◽  
Two Phase ◽  
Intelligence System ◽  
Business Intelligence Systems ◽  
Managerial Implications ◽  
Decision Making Processes

This exploratory study analyses the effects of the technical and organisational characteristics of business intelligence systems (BIS) on knowledge sharing, collaboration, and decision-making processes. The authors conducted a two-phase multi-method investigation. First, we surveyed 30 enterprises using BIS on a regular basis; then, we engaged in an in-depth case study with one of the respondent companies. Our results show that, on average, the technical and organisational characteristics of the BIS are positively associated with an increase in knowledge sharing, leading to an improvement in internal collaboration that subsequently brings improvement in the quality of decision-making. This case study adds that the way the BIS is designed and appropriated in organisations is important in obtaining such results is. A BIS being designed so that it can be appropriated by the general employee base is key in obtaining the desired organizational impacts. This suggests some requirements for BIS design that we will discuss in terms of theoretical and managerial implications.

scholarly journals Transformational Decision Making: A Corporate Success Story In Purchasing

2011 ◽  
Vol 7 (3) ◽  
pp. 23
Author(s):  
Diane D. Galbraith ◽  
Fred L. Webb
Keyword(s):  
Decision Making ◽  
Business Students ◽  
Business Management ◽  
Teaching Tool ◽  
Challenging Problem ◽  
Success Story ◽  
History Of ◽  
Management Functions ◽  
Undergraduate Business Students

The purpose of this case study is to provide a pedagogical teaching tool for undergraduate business students to fully comprehend the importance of the business management functions of planning, organizing, leading and controlling businesses. This case is inspired by events in the history of Rockwell International Corporation. As a major conglomerate struggles to transform itself over a period of eight decades, Rockwell provided a challenging problem for students to solve.

Suggested Model for Business Intelligence in Higher Education

2012 ◽  
pp. 223-239
Author(s):  
Zaidoun Alzoabi ◽  
Faek Diko ◽  
Saiid Hanna
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Business Intelligence ◽  
University Management ◽  
Suggested Model ◽  
Business Decision ◽  
Data Mining Approach ◽  
Input Processing ◽  
The University

BI is playing a major role in achieving competitive advantage in almost every sector of the market, and the higher education sector is no exception. Universities, in general, maintain huge databases comprising data of students, human resources, researches, facilities, and others. Data in these databases may contain decisive information for decision making. In this chapter we will describe a data mining approach as one of the business intelligence methodologies for possible use in higher education. The importance of the model arises from the reality that it starts from a system approach to university management, looking at the university as input, processing, output, and feedback, and then applies different business intelligence tools and methods to every part of the system in order to enhance the business decision making process. The chapter also shows an application of the suggested model on a real case study at the Arab International University.

Tailorable Technologies for Improving Business Intelligence Systems

2019 ◽  
pp. 238-253
Author(s):  
Shah J. Miah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Conceptual Framework ◽  
Business Intelligence ◽  
Cost Effective ◽  
Business Owners ◽  
Business Intelligence Systems ◽  
Effective Operation

The Australian farm-based businesses can be benefited from specially designed applications for cost-effective operation while maximizing profits to survive in economic and environmental crises. For decision support, existing business intelligence systems (BIS) approaches scarcely deal with specific user's provisions to adjust changing situations in decision making, without extra technical exertions. In this chapter, the authors describe a conceptual framework of tailorable BIS solution that is based on case study findings in that the highlighted requirements are relevant to address changing situations through enhancing end user's engagement. The activities of end user's engagement supported through the use of tailorable features that reinforce a shift from the traditional BIS process to a new provision where business owners can actively involve in adjusting their features to their decision support.

Social Media Tools for Quality Business Information

2015 ◽  
pp. 636-662
Author(s):  
Sérgio Maravilhas
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Raw Material ◽  
Service Development ◽  
Quality Information ◽  
Work Sharing ◽  
Product Service ◽  
Social Media Tools ◽  
Globalized World

Information, as a tool to reduce uncertainty and to develop knowledge in organizations, is an important aid in the decision-making process and must be of quality to improve its value. We are living in an information society where organizational and personal life are mediated by information and knowledge, with the help of technologies that gather, disseminate, and deliver that raw material to support our decisions. There are several characteristics that describe the quality of information that will allow the analysis of the value of the information used. In the globalized world we are living in, quality information warrants best results when competing with other organizations. Its value is related to the results that it will allow to be obtained and the dependability on its context. Marketing trends and competitive information is needed for clear decision making about what products to develop, for what customers, at what cost, through which distribution channels, reducing the uncertainty that a new product/service development always brings with it. Social Media tools allow the knowledge of competitor's moves and the analysis of trends from the communications exchanged in the networks of individual consumers, making it easy for companies to develop solutions according to their clients and prospects desires. Learning how to extract quality information, unbiased, valuable for business, from these social tools is the aim of this work, sharing with the interested parties some ways of using it for their profit and competitive sustainability.

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