scholarly journals The double wave data warehouse lifecycle model

2007 ◽  
Author(s):  
D. P. du Plessis ◽  
T. McDonald
Keyword(s):  
Data Warehouse ◽  
Wave Data ◽  
Lifecycle Model

Entwicklung eines Data-Warehouse-Systems zur Evaluation des Mammographie-Screening-Programms

2007 ◽  
Vol 179 (S 1) ◽  
Author(s):  
J Czwoydzinski ◽  
A Sommer ◽  
S Weigel ◽  
H Lenzen ◽  
W Heindel
Keyword(s):  
Data Warehouse

RANCANGAN DATA WAREHOUSE PADA SEKOLAH TINGGI TEKNIK POLIPROFESI MEDAN

KURVATEK ◽  
2018 ◽  
Vol 3 (1) ◽  
pp. 63-69
Author(s):  
Siti Jamilah Tarigan ◽  
Wing Wahyu Winarno ◽  
Henderi Safei
Keyword(s):  
Data Warehouse

Pengambilan keputusan dan perencanaan bidang akademik sering kali tidak berdasarkan pada informasi yang lengkap. Jajaran pengambil keputusan (rektorat atau tingkat eksekutif) hanya bisa melihat sebuah data dalam satu dimensi. Pengambil keputusan akan lebih baik jika informasi dapat disajikan dari berbagai dimensi. Perguruan tinggi telah memiliki data operasional yang lengkap dari kegiatan akademik, kepegawaian, dan penerimaan mahasiswa yang telah dikumpulkan lebih dari 4 tahun. Data warehouse adalah suatu koleksi optimasi database untuk mendukung keputusan. Konsep ini mengintegrasikan antara sistem lama dan sistem baru sehingga tidak terjadi duplikasi data. Data yang telah diintegrasikan dapat diolah dalam berbagai bentuk laporan sesuai dengan kebutuhan.Tujuan dari penelitian ini adalah bagaimana data yang ada bisa menghasilkan informasi yang akurat dan multidimensi sehingga pengambilan keputusan lebih cepat dan akurat. Penelitian ini menggunakan analisis data OLAP, dan skema bintang. Kesimpulan dari penelitian ini adalah rancangan yang dihasilkan bisa membantu pihak akademik dalam membuat keputusan berdasarkan data dan informasi yang mulitidimensi.

DB2 Data Warehouse Enterprise Edition

2003 ◽  
Author(s):  
Mitchell Kramer
Keyword(s):  
Data Warehouse

Data Warehouse Development Based on Cloud Computing Using IBM Informix and IBM Cognos for Multifinance Industry

2016 ◽  
Vol 11 (9) ◽  
pp. 804
Author(s):  
Dion Darmawan ◽  
Chrissandy Fernando ◽  
Andree Gunawan ◽  
Julian Ivandi
Keyword(s):  
Cloud Computing ◽  
Data Warehouse

USE OF AN ELECTRONIC DATA WAREHOUSE TO ENHANCE CARDIAC SURGICAL SITE SURVEILLANCE AT A LARGE CANADIAN CENTRE

2008 ◽  
Vol 31 (4) ◽  
pp. 21 ◽  
Author(s):  
G W Rose ◽  
V R Roth ◽  
K N Suh ◽  
M Taljaard ◽  
C Van Walraven ◽  
...  
Keyword(s):  
Infection Control ◽  
Surgical Site Infection ◽  
Data Warehouse ◽  
Stepwise Logistic Regression ◽  
Site Infection ◽  
Electronic Data ◽  
Trigger Mechanism ◽  
Trigger Tool ◽  
Infection Surveillance ◽  
Trigger Mechanisms

Background/Purpose: Surgical site infection surveillance to determineincidence is a key infection control activity. Case detection is labour-intensive, therefore most infection control programs use manual or simple electronic mechanisms to “trigger” chart review. However, such “trigger” mechanisms are also labour-intensive, and often of poor specificity. Our objective is to develop a complex trigger mechanism using data from an electronic data warehouse, to improve specificity of surveillance of surgical site infection compared to current trigger mechanisms. Methods: We will derive an electronic trigger tool for cardiac surgical site infection surveillance using a nested case-control design, among a cohort of all patients undergoing coronary artery bypass grafting, cardiac valve repairor replacement, or heart transplant at the University of Ottawa Heart Institute, from July 1 2004 to June 30 2007. We will perform a systematic literature review to identify potential trigger factors to include in the model, then construct the trigger tool by backwards stepwise logistic regression. The best-fit model will be used to calculate the probability of surgical site infection. We will select the threshold probability to use in surveillance by visual inspection of receiver-operator-characteristic curves. The accuracy of this electronic trigger mechanism will be compared to pre-existing manual and simple electronic mechanisms using relative true positive ratios and relative false positive ratios. Results/Conclusions: We have selected 200 cases of surgical site infection and 541 controls from among 3744 procedures performed during the study period. As of the date ofthis abstract we are still undertaking the systematic review.

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