Business Intelligence Implementation To Analyze Perfect Store Data Using the OLAP Method

Using Business Intelligence to Analyze and Share Health System Infrastructure Data in a Rural Health Authority

BACKGROUND Health care organizations gather large volumes of data, which has been traditionally stored in legacy formats making it difficult to analyze or use effectively. Though recent government-funded initiatives have improved the situation, the quality of most existing data is poor, suffers from inconsistencies, and lacks integrity. Generating reports from such data is generally not conside...

Data Warehousing: from Occasional OLAP to Real-time Business Intelligence (Dagstuhl Seminar 11361)

OLAP Technology for Business Process Intelligence: Challenges and Solutions

The emerging area of business process intelligence aims at enhancing the analysis power of business process management systems by employing data warehousing and mining technologies. However, the differences in the underlying assumptions and objectives of the business process model and the multidimensional data model aggravate a straightforward solution for a meaningful convergence of the two co...

Using Master Data in Business Intelligence

Data Warehouse and Business Intelligence Implementation: Agile and Iterative Themes

The growth and success of agile software development across industry and government has led to the application of these methods to other domains. This paper discusses common agile and iterative themes used on data warehouse and business intelligence projects by reviewing and analyzing academic and industry literature, and categorizing key words and phrases associated with agile across common th...