scholarly journals MICROSOFT SQL SERVER 2008 - BUSINESS INTELLIGENCE DEVELOPMENT AND MAINTENANCE TRAINING KIT

2012 ◽  
Vol 4 (1) ◽  
pp. 81-82
Author(s):  
Iveta ŽOUŽELKOVÁ
Keyword(s):  
Business Intelligence ◽  
Sql Server ◽  
Intelligence Development

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.

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 Business Intelligence, Analytics And Data Visualization: A Heat Map Project Tutorial

2014 ◽  
Vol 18 (3) ◽  
pp. 185 ◽  
Author(s):  
Pamela A. Dupin-Bryant ◽  
David H. Olsen
Keyword(s):  
Data Visualization ◽  
Business Intelligence ◽  
Knowledge Workers ◽  
Sql Server ◽  
Instructional Model ◽  
Data Sets ◽  
High Demand ◽  
Heat Map ◽  
Analytical Skills ◽  
5E Instructional Model

Business intelligence and analytics (BI&A) initiatives are helping countless organizations harness and interpret the vast amount of information available in the world today. The explosion of BI&A in industry has fueled the high demand for knowledge workers with advanced analytical skills. The purpose of this paper is to introduce a data visualization project tutorial for Information Systems (IS) education. The applied BI&A tutorial was designed to help students learn how to create and analyze a heat map using SQL Server Data Tools (SSDT) and SQL Server Reporting Services (SSRS). Students learn how to make decisions based on large amounts of data by presenting it in visual form. This tutorial exposes students to the decision-making power derived from data visualization. Utilizing the 5E Instructional Model, the tutorial assists in the development of BI&A professionals who can quickly make sense of mass amounts of data, identify trends buried within data sets, and are skilled in making sound decisions that add value to organizations.

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

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