Since the late 1970s, relational database technology has been adopted by most
organizations to store their essential data. However, nowadays, the needs of these …

An educational institution needs to have an approximate prior knowledge of enrolled
students to predict their performance in future academics. This helps them to identify …

The present book's subject is multidimensional data models and data modeling concepts as
they are applied in real data warehouses. The book aims to present the most important …

Data warehouses are the core of decision support systems, which nowadays are used by all
kind of enterprises in the entire world. Although many studies have been conducted on the …

The Information and Communication Technologies revolution brought a digital world with
huge amounts of data available. Enterprises use mining technologies to search vast …

Background: From the last decade, data mining techniques, employed in particular in
customer relationship management, have assumed a key role in the profitability and …

Extract-Transform-Load (ETL) processes are used for extracting data, transforming it and
loading it into data warehouses (DWs). Many tools for creating ETL processes exist. The …

In order to make timely and effective decisions, businesses need the latest information from
data warehouse repositories. To keep these repositories up-to-date with respect to end user …

In times of rapid change and intense competition, companies are looking for innovations and
new market segments, in order to understand the present time and act according to the new …

Purpose The purpose of this paper is to describe an agile approach to academic analytics
that is currently being applied on one of the campuses of a leading higher educational …