Some considerations on business intelligence application in business improvement

2014 ◽  
Author(s):  
Nebojsa Denic ◽  
Zoran Nesic ◽  
Miroslav Radojicic ◽  
Jasmina Vesic Vasovic
Keyword(s):  
Business Intelligence ◽  
Intelligence Application

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

Enhancing BI Systems Application Through the Integration of IT Governance and Knowledge Capabilities of the Organization

2012 ◽  
pp. 161-182 ◽  
Author(s):  
Samir Hammami ◽  
Firas M. Alkhaldi
Keyword(s):  
Business Intelligence ◽  
Structural Equation ◽  
Factor Model ◽  
It Governance ◽  
Organizational Knowledge ◽  
Equation Model ◽  
Empirical Examination ◽  
Governance Framework ◽  
Confirmatory Factor ◽  
Intelligence Application

Over years, research in Management Information Systems (MIS) has resulted in significant implications for organizations in a wide variety of areas by using socio-technical perspective, which has helped to deliver more business focused solutions. This study reports the results of an empirical examination of the effect of IT governance framework based on COBIT and Organizational Knowledge Pillars in enhancing the IT Governance framework (Business / IT Strategic alignment, Business value delivery, risk management, Resource management, performance measurement) to enhance the business intelligence application and usability within the organization. Quantitative method is adopted for answering the research questions. A questionnaire was used for data collection after contacting several companies, in addition confirmatory factor model and structural equation model were developed and tested and the overall results of the empirical investigation supported the general framework. Using confirmatory factor analysis techniques, the effects of the combination between IT governance factors seen by ITGI and organizational knowledge pillars of the firm on BI Systems application in it were tested and confirmed and the models were also verified. Several statistical methods were used for data analysis; moreover different statistical tools as software packages were employed such as SPSS 17 and EQS 6.1. The study proposes that knowledge management (KM) and IT Governance framework are vital organizational abilities that support business intelligence application; it also observes that combination of IT governance framework with organizational knowledge within the firm can enhance the organization’s BI system application and usability, and its goal is to advance the understanding of the relationships among these factors. The study develops and tested two main hypothesizes: (1) IT Governance framework supports business intelligence application. (2) Organizational knowledge, in turn, leads to support business intelligence application.

Business Intelligence in the Bayou

2010 ◽  
Vol 1 (2) ◽  
pp. 21-29 ◽  
Author(s):  
Gregory Smith ◽  
Thilini Ariyachandra ◽  
Mark Frolick
Keyword(s):  
Hurricane Katrina ◽  
New Orleans ◽  
Business Intelligence ◽  
Quality Of Data ◽  
Gulf Region ◽  
Record Keeping ◽  
Significant Damage ◽  
Debris Removal ◽  
Intelligence Application

During the 2005 Atlantic hurricane season, Hurricane Katrina wreaked havoc on New Orleans. Significant damage to the Gulf region forced the Federal Emergency Management Agency (FEMA) to begin an unprecedented cleanup effort. The removal and disposal of debris was not only a challenge for landfill capacity but also for the administration of drivers, trucks, and debris type. With the debris removal workforce and certified hauling vehicles changing rapidly, record keeping and fraud detection proved difficult. This paper introduces the results of a data driven manpower audit for one parish in the greater New Orleans area that consolidated records and reconciled multiple record keeping systems. The authors’ findings bring to light the failings in record keeping during this disaster and highlight how a simple business intelligence application can improve the accuracy and quality of data and save costs.

Practicing for Business Intelligence Application with SQL Server 2008

2010 ◽  
Vol 20-23 ◽  
pp. 1499-1503
Author(s):  
Zhi Jun Ren
Keyword(s):  
Best Practices ◽  
Business Intelligence ◽  
Return On Investment ◽  
Sql Server ◽  
High Return ◽  
Successful Business ◽  
Intelligence Application ◽  
Very High

Successful business intelligence application used by an enterprise often produces a very high return on investment. This paper introduces the application of best practices to business intelligence infrastructure with SQL Server 2008.

scholarly journals KAJIAN TERHADAP STRUKTUR MIKRO PASAR VALAS ANTAR BANK DOMESTIK

2004 ◽  
Vol 7 (1) ◽  
Author(s):  
Aida S. Budiman ◽  
Nanang Hendarsah ◽  
M. Noor Nugroho ◽  
Evy Silviani
Keyword(s):  
Foreign Exchange ◽  
Business Intelligence ◽  
High Frequency ◽  
Foreign Bank ◽  
Short Term ◽  
Credit Line ◽  
National Bank ◽  
On Line ◽  
Analytical Processing ◽  
Intelligence Application

Price fluctuation on foreign exchange induces a complex consequences on financial market. Understanding micro structure of forex market and their linkage to other market will help central bank to maintain ‘targeted’ value of Rupiah and to ensure the economy recovery post crisis. We apply business intelligence application namely On-Line Analytical Processing (OLAP) to deal with huge and high frequency data from Pusat Informasi Pasar Uang (PIPU) during period of January 2003 up to 20 June 2003. Using this tool, we can analyze characteristic of any observable market blocks including market clearance status and their inter-linkage (flow of transactions). The result shows that swap transaction dominates foreign exchange transaction, followed by spot and forward. The swap transaction is mostly used to maintain short term liquidity in inter bank market. From all of the three types of transaction, foreign bank plays important role because they have ‘greater’ access on Pasar Uang Antar Bank (PUAB), meanwhile national bank face credit line policy hence 90% of foreign exchange placement is directed to foreign bank.

scholarly journals Business Intelligence Applications; sustaining Retail Businesses in Rivers State, Nigeria

2021 ◽  
Vol 04 (03) ◽  
Author(s):  
Patrick N Nwinyokpugi ◽  
Keyword(s):  
Data Mining ◽  
Performance Management ◽  
Data Warehouse ◽  
Data Visualization ◽  
Business Intelligence ◽  
Business Sustainability ◽  
Retail Business ◽  
Retail Outlets ◽  
Rivers State ◽  
Intelligence Application

The contemporary retail outlets are no more run by manual practices given the electronic nature of company to customers (C-C); customers to customers (C-C) transactions globally. The application of business intelligence has given an edge to retail outlets operation. This study therefore, strives to examine the relationship between business intelligence application and retail business sustainability in Rivers State, Nigeria. The study used descriptive research technique through the adoption of cross- sectional survey design. Nine judgmentally sampled retail outlets especially large scale malls & superstores were studied in Port Harcourt base on their inherent electronic driven operations. Using structured closed ended questionnaire, 45 census senior managers of these sampled retail outlets were studied. Data gathered were analysed using the Pearson Product Moment Correlation Coefficient (PPMCC) statistics and presented with the aid of SPSS version 20.0 for easy interpretation. The results of analysed data showed that, the dimensions of business intelligence application which included but not limited to customers’ performance management, data warehouse, data mining and advanced data visualization significantly correlated positively with the measures of retail business sustainability being profitability and customers’ patronage. The finding also showed a high moderating effect of organizational culture on business intelligence application and retail business sustainability in Rivers State, Nigeria. Relying on the empirical findings, the study concluded that business intelligence application has positive significant relationship with retail business sustainability. It is therefore recommended that, the dimensions of business intelligence: customers’ performance management, data warehouse, data mining & advance data visualization identified in this study should be utilized as it enhances retail business operational sustainability.

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