Business intelligence - WikipediaBusiness intelligence BI comprise the strategies and technologies used by enterprises for the data analysis of business information. Common functions of business intelligence technologies include reporting , online analytical processing , analytics , data mining , process mining , complex event processing , business performance management , benchmarking , text mining , predictive analytics and prescriptive analytics. BI technologies can handle large amounts of structured and sometimes unstructured data to help identify, develop and otherwise create new strategic business opportunities. They aim to allow for the easy interpretation of these big data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability. Business intelligence can be used by enterprises to support a wide range of business decisions ranging from operational to strategic.
Desision Support Systems and Business Intelligence
Handbook on Decision Support Systems 2
You are currently using the site but have requested a page in the site. Would you like to change to the site? Vicki L. Computer-based systems known as decision support systems DSS play a vital role in helping professionals across various fields of practice understand what information is needed, when it is needed, and in what form in order to make smart and valuable business decisions. Providing a unique combination of theory, applications, and technology, Decision Support Systems for Business Intelligence, Second Edition supplies readers with the hands-on approach that is needed to understand the implications of theory to DSS design as well as the skills needed to construct a DSS. This new edition reflects numerous advances in the field as well as the latest related technological developments.
This book examines decision making in general, the translation of knowledge about decision making into a DSS model, and the actual programming of a DSS. In addition, it combines the theoretical underpinnings of the topic with practical application using tools and technology currently available. Topics are discussed on three levels: general theory, implications for DSS design, and code development. This approach provides readers with practical examples than can be adopted into systems design. The Second Edition has been completely updated to reflect new technologies as well as the demands upon technology that have evolved since the publication of the First Edition in The book utilizes a combination of Dreamweaver and Cold Fusion, which are both popular software products that follow industry standards.
As the most comprehensive reference work dealing with decision support systems DSS , this book is essential for the library of every DSS practitioner, researcher, and educator. Written by an international array of DSS luminaries, its more than 70 chapters approach decision support systems from a wide variety of perspectives ranging from classic foundations to cutting-edge thought, informative to provocative, theoretical to practical, historical to futuristic, human to technological, and operational to strategic. Novices and experts alike will refer to the authoritative and stimulating content again and again for years to come. Skip to main content Skip to table of contents. Advertisement Hide. Handbook on Decision Support Systems 2 Variations. Front Matter Pages