Today, there is a vast discrepancy between data publication and data processing capabilities on the Internet. Virtually anybody can publish data, e.g., in HTMLor XML-format. Consequently, a wide range of (different quality) data sources exist on the Internet, ranging from personal documents to real estate offers to product catalogs, to name just a few. In a way, the Internet could be viewed as ...

The paper introduces the word 'Systemateque' as a general term for a database similar to a data dictionary, but with a much more general scope. While a data dictionary is a database for support of the design and maintenance of data processing systems, a systemateque is the database of a more advanced and general CASE tool supporting all kinds of systems analysis and systems design activities. A...

Abstract Driven by digital technologies, manufacturers aim to tap into data-driven business models, in which value is generated from data as a complement physical products. However, this transformation can be complex, different archetypes of models require substantially and technical capabilities. While there are manifold contributions research on capability development, an integrated aligned p...

Business analytics (BA) has become increasingly important for companies to gain valuable insights from big data and ultimately competitive advantage. However, little empirical evidence exists regarding the mechanisms through which BA impacts on competitive advantage. In light of this paucity, this paper aims to advance our understanding of the impact of BA on competitive advantage. First, this ...

The purpose of OLAP (On-Line Analytical Processing) systems is to provide a framework for the analysis of multidimensional data. Many tasks related to analysing multidimensional data and making business decisions are still carried out manually by analysts (e.g. financial analysts, accountants, or business managers). An important and common task in multidimensional analysis is business diagnosis...

Electronic Data Interchange (EDI) has been used in businesses for about 30 years to reduce the costs of document processing and, in general, to achieve strategic business advantages made possible by shorter business process cycle times. The variety of different industry-specific and national EDI standards makes it difficult for businesses to decide which standard to use. Additionally, many comp...

E-business domains have been considered killer domains for different data analysis techniques. Most researchers have examined data mining (DM) techniques to analyze the databases behind E-business websites. DM has shown interesting results, but this technique presents some restrictions concerning the content of the database and the level of expertise of the users interpreting the results. In th...

In this paper, we compare the competitiveness between clustered and dispersed Small Medium Enterprises (SMEs) in Indonesian food processing industry. This study was driven by the important role of SMEs in Indonesian food processing industry for helping low income people access the low price foods. Furthermore, as Indonesian Government implements policy that support clustered SMEs, it could be e...

[Abstracts] Workflow logs that record the execution of business processes offer very valuable data resource for real-time enterprise performance measurement. In this paper, we proposed a novel scheme that uses the technology of data warehouse and OLAP to explore workflow logs and create complex analysis reports for enterprise performance measurement. Three key points of this scheme were studied...

Abstract. This report demonstrates how storing events in a data warehouse can facilitate mining business process models. The data warehouse is designed based on dimensional modelling principles for the Business Processing Intelligence Challenge (BPIC) 2016, and it is populated by extracting and cleaning, transforming and loading data from the challenge log files. In addition, the data warehouse...