E-Business have a variety of on-line transaction processing (OLTP) systems and operational database. Data Warehouse is different from operational database. A data warehouse is a subject-oriented, integrated, time-variant, and non-volatile collection of data in support of management's decision-making process. The features of Data Warehouse cause the its design process and strategies to be differ...

Originator Control allows information providers to define the information re-dissemination condition. Combined with usage control policy, fine-grained ’downstream usage control’ can be achieved, which specifies what attributes the downstream consumers should have and how data is used. This paper discusses originator usage control, paying particular attention to enterprise-level dynamic business...

Business process performance evaluation is a key step towards assessing and improving e-business operations. In real-scale scenarios, such evaluation requires the collection, aggregation and processing of vast amounts of data, in particular audit trails. This paper aims at enabling such evaluation by integrating workflow technology with data warehousing. We first present a data model for captur...

When business processes depend on the processing capabilities within a data center, the typical system architecture use a high-availability setup to maintain a high level of service. Faced with a specific machine-tomachine system consisting of many endpoints that collect and forward data to the data center we argue that the dependability of the overall system does not necessitate a high level o...

The amount of data stored by banks is rapidly increasing and provides the opportunity for banks to conduct predictive analytics and enhance its businesses. However, data scientists are facing large challenges, handling the massive amount of data efficiently and generating insights with real business value. In this paper, the Intelligent Customer Analytics for Recognition and Exploration (iCARE)...

Our research project aims to build an infrastructure that can efficiently and seamlessly to meet the demanding requirements of business event stream-based analytical applications. We focus on the complex event analysis on event streams, QoS-aware event processing services, and a novel event stream processing model that seamlessly and efficiently combines event processing services. That model is...

Enterprises have gathered operational business information frommultiple structured data sources and stored it in a central repository, called data warehousing, for decision support functionalities and data analysis. The enterprises are now realizing to integrate their entire information sources, including "unstructured" contents, for deeper and richer information analysis. Several applications,...

The bulk of an organization’s data is unstructured that is the information that doesn't nicely fit into the typical data-processing format. It remains stored, but unanalysed. The information hidden or stored in unstructured data can play a critical role in making decisions, understanding and complying with regulations, and conducting other business functions. Integrating data stored in both str...