Analytics is the future of big data because only transforming data into information gives them value and can turn data in business in competitive advantage. Large data volumes, their variety and the increasing speed their growth, stretch the boundaries of traditional data warehouses and ETL...

We live in a dynamic world, in a permanent move, were performance of information systems continually increases. Thus, the need of being informed, regardless of place or time, is very great using data warehouses solutions. Therefore, the need for efficient information systems is very high. The...

Over the past years, data mining became a matter of considerable importance due to the large amounts of data available in the applications belonging to various domains. Data mining, a dynamic and fast-expanding field, that applies advanced data analysis techniques, from statistics, machine...

This paper is about why is Data Integration important for organisations around the world. Organizations struggle daily with the challenges of large distributed data volumes, inconsistently defined data across disparate systems and the high expectations of data consumers who depend on information...

Starting from the consideration that fighting cybercrime is a continuous process, the more the types of old crimes are committed today through modern means (computer fraud) at distances of thousands of kilometers, international cooperation is vital to combat this phenomenon. In EU countries,...

Methods underlying cluster analysis are very useful in data analysis, especially when the processed volume of data is very large, so that it becomes impossible to extract essential information, unless specific instruments are used to summarize and structure the gross information. In this...

Business rules are at the foundation of every information system as they drive and offer guidelines for managing and conducting all activities within an organizations. They are important both for operational systems and for analytical ones, as they can serve as data quality rules. Several...

This paper presents some informatics technologies, like XML and object-relational databases, and the main motivations for implementing them in Decision Support Systems (DSS). Also, it is proposed and analyzed a conceptual model of a DSS prototype, which can be applied in the uncertain and...

Data warehousing solution development represents a challenging task which requires the employment of considerable resources on behalf of enterprises and sustained commitment from the stakeholders. Costs derive mostly from the amount of time invested in the design and physical implementation of...

With the development of the Internet’s new technical functionalities, new concepts have started to take shape. These concepts have an important role especially in the development of corporate IT. Such a concept is „the Cloud”. Various marketing campaigns have started to focus on the Cloud...