The Model of Business Intelligence Development by Applying Cooperative Society Based Financial Technology

2021 ◽  
pp. 117-125
Author(s):  
A. Al-Khowarizmi ◽  
Rahmad Syah ◽  
Marischa Elveny
Keyword(s):  
Business Intelligence ◽  
Cooperative Society ◽  
Intelligence Development ◽  
Financial Technology

Study on the Application of Data Mining Based on Campus Card Platform

2013 ◽  
Vol 846-847 ◽  
pp. 977-980 ◽  
Author(s):  
Yuan Qian ◽  
Quan Shi
Keyword(s):  
College Students ◽  
Data Mining ◽  
Time Series ◽  
Statistical Methods ◽  
Business Intelligence ◽  
Sql Server ◽  
Policy Makers ◽  
University Policy ◽  
Development Tools ◽  
Intelligence Development

The thesis uses data in the database of campus card platform as the analysis object, combined with statistical methods and data mining technology to analyze the students consumption and the situation of the canteens. We use the Microsoft .NET and SQL Server 2008 business intelligence development tools to mine and analyze these data; know canteens consumption and learn about the business status and the popular shops of the canteen by using the K-means algorithm; analyze and predict students behavior and the situation of the canteen by using time series algorithm. It is convenient to manage the college students, and provide data support for university policy makers and shoppers to make plans.

PEMANFAATAN BUSINESS INTELLIGENCE SIMPONI DALAM MEMONITOR REALISASI PENERIMAAN NEGARA BUKAN PAJAK

2018 ◽  
Vol 2 (1) ◽  
pp. 47-55
Author(s):  
Frenda Ernanto
Keyword(s):  
Business Intelligence ◽  
Data Accuracy ◽  
Tax Revenue ◽  
Intelligence Development

Business Intelligence development based on Sistem Informasi PNBP Online (SIMPONI) database offers several advantages, especially in fast and easy monitoring of Non-Tax Revenue realization. This study aims to elaborate the importance of Business Intelligence and its data accuracy compared to Ministry/Agency report of Non-Tax Revenue. The result finds that Business Intelligence is a powerfull tool in presenting Non-Tax Revenue data. However, if there are some corrections in the revenue data, the Business Intelligence data must be adjusted to maintain its accuracy.  Pengembangan Business Intelligence yang bersumber dari data Sistem Informasi PNBP Online (SIMPONI) menawarkan beberapa keunggulan, terutama dalam memonitor realisasi Penerimaan Negara Bukan Pajak secara cepat dan mudah. Penelitian ini bertujuan untuk mengelaborasi pemanfaatan Business Intelligence dan tingkat akurasinya dalam menyajikan data PNBP  dibandingkan dengan laporan yang disampaikan Kementerian/Lembaga. Hasil penelitian menunjukkan Businness Intelligence merupakan tools yang sangat berguna dalam menyajikan data realisasi PNBP. Namun demikian, dalam hal terdapat koreksi data, perlu dilakukan penyesuaian pada data Business Intelligence

Model of Business Intelligence Applied the Principle of Cooperative Society in the Business Forums

2021 ◽  
Author(s):  
Al-Khowarizmi Al-Khowarizmi ◽  
Muharman Lubis ◽  
Arif Ridho Lubis ◽  
Fauzi Fauzi ◽  
Ilham Ramadhan Nasution
Keyword(s):  
Business Intelligence ◽  
Cooperative Society

scholarly journals analysis of the use of Business Intelligence technologies as facilitators of university management

2013 ◽  
Vol 7 ◽  
Author(s):  
Liége Franken Ciupak ◽  
Clodis Boscarioli ◽  
Maria Elisabete Catarino
Keyword(s):  
Information Systems ◽  
Business Intelligence ◽  
User Satisfaction ◽  
Evaluation System ◽  
Average Score ◽  
Information Technology Management ◽  
State University ◽  
University Management ◽  
The University ◽  
Intelligence Development

The concept of Business Intelligence (BI) approaches several technologies that aim at arranging the extraction and visualization of information, and just like in a competitive company the university management must also update itself, therefore adopting the use of processes that aid and speed decision making. Information Systems (IS) are indispensable elements and should mean more than the processing of routine activities, thereby starting to contribute to a strategic vision. The Western State University of Paraná (UNIOESTE) has many IS, but its users still face difficulties in extracting information in the desired format. Thus, this paper reports the outcomes of a research developed during the dissertation of a Master's Degree on Information Technology Management which is aimed at researching BI technologies. More specifically the Online Analytical Processing (OLAP), as well as implementing an operation prototype that could facilitate the retrieval of information from the dean’s office for planning, whose sources are many UNIOESTE information systems. In order to reach that goal, an exploratory/descriptive research of the qualitative type was developed by means of a documentary and bibliographical research. A prototype with the Business Intelligence Development Studio (BIDS) tool, which is a component of Microsoft SQL Server 2008, here integrated with Excel 2010 spreadsheet editor for end-user interface, was developed and evaluated. As part of the evaluation system, the SUS questionnaire was used to measure user satisfaction, where the average score given by participants was 91.5 on a 0 to 100 scale, which means quite a positive evaluation.

scholarly journals Academic Business Intelligence: Can a Small and Medium-sized University Afford to Build and Deploy it within Limited Resources?

2019 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Wahyudi Agustiono
Keyword(s):  
Business Intelligence ◽  
Development Project ◽  
Limited Resources ◽  
It Infrastructure ◽  
Development Literature ◽  
Conducting Students ◽  
The University ◽  
Intelligence Development ◽  
Practical Recommendations ◽  
Academic Sector

Background: For many years, researches on Business Intelligence (BI) development have been popular in primary industry (trading, telecommunication, and manufacturing). Nevertheless, the academic sector has not been the primary beneficiary. This lack of practices also means there has been limited knowledge relating to the development of BI in the academic sectorObjective: This study presents the development of an Academic Business Intelligence (ABI). Taking an actual ABI development project in a small and medium-sized university in Indonesia context, it specifically sought to understand as to why the university needed an ABI and how it could be developed within the limited resources (funding, IT infrastructure and expertise).Methods: Following the business intelligence development roadmap, this study was able to develop an ABI as an attempt to provide a smart way for generating valuable information from scattered data interactively. It also successfully deployed the newly developed ABI into the existing IT legacy and then run a series of pilot testing involving the intended users.Results: The results showed the acceptance rate was high (87.25%) and suggested that the system found to be usable for conducting students' performance assessment and decision making faster. In short, this study contributes to the growing body of BI development literature by providing empirical evidence on how to successfully develop a BI within the unique context of the academic sector.Conclusion: Considering the findings, this study also draws practical recommendations and highlights a few limitations from which future study could address, especially when developing BI or similar ABI in particular.

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