What would you do if you had your hands on inside information about a competitor? Companies have spent considerable time and effort establishing how to measure…
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Welcome to NewsReader: “Building structured event Indexes of large volumes of financial and economic Data for Decision Making”
The volume of news data is enormous and expanding, covering billions of archived documents with millions of documents added daily. These documents are also getting more and more interconnected with knowledge from other sources such as biographies and company databases.
Professional decision makers who need to respond quickly to new developments or who need to explain these developments on the basis of the past are faced with the problem that current solutions for consulting these archives no longer work. There are simply too many possibly relevant and partially overlapping documents and from these documents decision makers still need to distinguish the correct from the wrong, the new from the old, the actual from the out-of-date by reading the content and maintaining a record in memory. Consequently, it becomes almost impossible to make well-informed decisions and professionals risk to be held liable for decisions based on incomplete, inaccurate and out-of-date information.
NewsReader will process news in 4 different languages when it comes in. It will extract what happened to whom, when and where, removing duplication, complementing information, registering inconsistencies and keeping track of the original sources. Any new information is integrated with the past, distinguishing the new from the old in an unfolding story line, similar to how people tend to remember the past and access knowledge and information. The difference here is that NewsReader can provide access to all original sources and will not forget any details (like a “History Recorder”). We will develop a decision-support tool that allows professional decision makers to explore these story lines using visual interfaces and interactions to exploit their explanatory power and their systematic structural implications. Likewise, NewsReader can make predictions from the past on future events or explain new events and developments through the past.
Les Sztandera introduces his book, <em>Computational Intelligence in Business Analytics: Concepts, Methods, and Tools for Big Data Applications</em>, which aims to help organizations gain a competitive edge in the marketplace through harnessing the power of computational intelligence approaches.
Big data analytics and competitive intelligence play many roles in the modern world, for all levels of business and corporate structures, nonprofit agencies, research and development organizations and many other entities.
Viele große Banken investierten 1997 in Osteuropa. Allerdings hatte niemand die Erste Bank, die führende österreichische Sparkasse mit zu diesem Zeitpunkt etwa 600.000 Kunden, auf der Rechnung. Auch die Erste Bank investierte in Osteuropa - allerdings gezielt in Tschechien, Kroatien und der Slowakei. Umso größer war die Überraschung, als der Nobody in kürzester Zeit elf Millionen Kunden hatte - und 2003 Marktführer in diesen drei Ländern wurde.