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With over 16 million tweets per hour, 600 new blog posts per minute, and 400 million active users on Facebook, businesses have begun searching for ways to turn real-time consumer-based posts into actionable intelligence. The goal is to extract information from this noisy, unstructured data and use it for trend analysis and prediction. Current practices support the idea that visual analytics (VA) can...
Nowadays, search engines perform a reasonable job in finding the necessary information according to the user's needs. Optimizing to the needs of the general population, these search engines quite often fail business individuals who seek enterprise information pertaining to a particular industry. The Web-based Intelligence Recommender for Enterprise (WIRE) is designed to assist these business individuals...
This paper describes the implementation of so-called sentinels in the TARGIT BI Suite. Sentinels are a novel type of rules that can warn a user if one or more measure changes in a multi-dimensional data cube are expected to cause a change to another measure critical to the user. Sentinels notify users based on previous observations, e.g., that revenue might drop within two months if an increase in...
Business intelligence may be defined as a set of mathematical models and analysis methodologies that systematically exploit the available data to retrieve information and knowledge useful in supporting complex decision-making processes. A business intelligence environment offers decision makers information and knowledge derived from data processing, through the application of mathematical models and...
In the framework of personalization or micromarketing of services, an effective strategy is to examine customers or items of a specific category. This paper describes an actual service support system using discovery of category-based customer behavior knowledge. The method is realized by modeling a customers' purchase behavior with some purchase situations or conditions using massive point of sales...
In Web environment,information is easier to get for the retail enterprises. However, knowledge discovery in databases become increasing difficulty. Data sources in Web environment is unstructured, these data need to enter the business intelligence through the pretreatment system. Business Intelligence enables retail to be intelligence and automation, including market basket analysis, customer value...
This paper suggests the structure of patent data integration and analysis based on business intelligence (BI) to help enterprises make the effective decisions about patent strategy and orientation of technological development by extracting effective information from mass data. Firstly, the patent data is acquired from heterogeneous data sources into the local database. Then, we can load the business...
In today's fast-changing, competitive environment, a complaint frequently heard by data warehouse users is that access to time-critical data is too slow. Shrinking batch windows and data volume that increases exponentially are placing increasing demands on data warehouses to deliver instantly-available information. Additionally, data warehouses must be able to consistently generate accurate results...
Business intelligence (BI) is a managerial concept helping managers and organizations to manage information and make factual decisions. Some have introduced Business Intelligence as a process of turning data into information and then into knowledge. This concept has become a popular trend for businesses interested in adding value to their decision making processes. Measurement of maturity in implementing...
Business intelligence is a key means to promote core competence of enterprise. However, the enormous construction cost of business intelligence severely limits the popularization and development of business intelligence. The multi-agent technology provides a feasible solution for construction of low-cost business intelligence system. Firstly, this paper introduces the current applied status of business...
Whenever the question arises how a product, a personality, a technology or some other specific entity is perceived by the public, the blogosphere is a very good source of information. This is what usually interests business users from marketing or PR. Modern search services offer a rich set of tools to monitor or track the blogosphere as a whole, but the analysis with respect to a certain domain is...
Business Intelligence (BI) capitalized on data-mining and analytics techniques for discovering trends and reacting to events with quick decisions. We argued that a new breed of data-mining, namely stream-mining where continuous data streams arrive into the system and get mined very quickly, stimulates the design of a new real-time BI architecture. In the past, stream-mining (especially in algorithmic...
International competition and dynamically changing customer demands lead SME's to join dynamically formed, `smart' enterprise networks aiming to increase their competitiveness and market share. Supporting such networks with decision making related to collaborations and providing adaptive user interfaces are key challenges. In this paper, we use furniture manufacturing SME's as a case study and we...
In order to make a marketing campaign effective, the business must analyze the spending behavior of his customers and know the best promotional time period. However, extracting these data manually is a time consuming and an inefficient task. Thanks to the current internet and wireless technologies together with existing data mining tools, our system is able to automate the data mining process efficiently...
Decision making is an important task for enterprise managers, and is typically based on various data sources derived from information systems, such as enterprise resource planning, supply chain management and customer relationship management. Numerous business intelligence tools (BI) thus have been developed to support decision making. Some existing BI tools have several limitations, for example lacking...
Today's vehicles and on-road infrastructures are equipped with a large number of sophisticated sensory devices. These sensory devices are capable of monitoring and providing data pertaining to vehicle status, real-time traffic conditions, traffic incidents, and road crashes. Urban commuters are also carriers of sensors embedded in their mobile devices. We are deluged with a massive pool of data that...
Business intelligence platform is used by an enterprise is an effective tool to help and guide your decision making to keep your products and services competitive. This paper systematically introduces the relate components of a business intelligence system and gives a complete Business intelligence solution with Microsoft SQL Server 2005.
Primary hyperhidrosis, a disorder characterized by an excessive sweating, has been treated by endoscopic thoracic sympathectomy. As a consequence of the surgery, patients improved their overall quality of life. Their day-by-day activities are not affected, or are less affected, by this disorder, and their emotional state verifies a significant improvement, from a situation of shame and self-punishing...
Business decision-making is not a simple task. There are many reasons for that but one of the main reason might be that data comes from different operational sources of an organization and it is difficult to organize and maintain especially if a huge volume of data is involved. A Data warehouse is helpful in this regard as it can assist in business decision-making by collecting data from different...
Systems that support Web site traffic analysis are core business intelligence applications for many companies. Recent papers remark that these systems are especially useful if they measure the users' interest into the relevant concepts described in a Web site rather than counting users' accesses to the distinct pages forming the Web site. This paper extends existing measures of conceptual Web site...
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