Business intelligence Wikipedia. Business Intelligence BI comprises the strategies and technologies used by enterprises for the data analysis of business information. BI technologies provide historical, current and predictive views of business operations. 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. Easy Fit 5 5 Keygen Crack. BibMe Free Bibliography Citation Maker MLA, APA, Chicago, Harvard. Global Business and Economics Review from Inderscience Publishers presents, discusses and analyses advanced concepts, initial treatments and fundamental research in. Strategic-Planning-Excellence-In-Education.jpg' alt='Business Environment In A Global Context Pdf To Word' title='Business Environment In A Global Context Pdf To Word' />Business Intelligence BI comprises the strategies and technologies used by enterprises for the data analysis of business information. BI technologies provide. 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. Basic operating decisions include product positioning or pricing. Strategic business decisions involve priorities, goals and directions at the broadest level. In all cases, BI is most effective when it combines data derived from the market in which a company operates external data with data from company sources internal to the business such as financial and operations data internal data. WRI is a global research organization that turns big ideas into action at the nexus of environment, economic opportunity and human wellbeing. Browse our work. Documents. Australias development policy and performance framework are available in PDF and Word formats. Pc Optimizer Pro Serial Keygen Download Cs6. Australian aid promoting prosperity, reducing poverty. Etymology and usage. The term globalization derives from the word globalize, which refers to the emergence of an international network of economic systems. One of the. Licensed Institute of Business Continuity Management NPC 2012. All Rights Reserved Page 2 of 33 Reg. No. 201200473608 threats that inevitably arise in todays. When combined, external and internal data can provide a complete picture which, in effect, creates an intelligence that cannot be derived from any singular set of data. Amongst myriad uses, business intelligence tools empowerorganizations to gain insight into new markets, to assess demand and suitability of products and services for different market segments and to gauge the impact of marketing efforts. Oftenquantify BI applications use data gathered from a data warehouse DW or from a data mart, and the concepts of BI and DW combine as BIDW5 or as BIDW. A data warehouse contains a copy of analytical data that facilitate decision support. ComponentseditBusiness intelligence is made up of an increasing number of components including HistoryeditThe earliest known use of the term Business Intelligence is in Richard Millar Devens in the Cyclopdia of Commercial and Business Anecdotes from 1. Devens used the term to describe how the banker, Sir Henry Furnese, gained profit by receiving and acting upon information about his environment, prior to his competitors. Throughout Holland, Flanders, France, and Germany, he maintained a complete and perfect train of business intelligence. The news of the many battles fought was thus received first by him, and the fall of Namur added to his profits, owing to his early receipt of the news. Devens, 1. The ability to collect and react accordingly based on the information retrieved, an ability that Furnese excelled in, is today still at the very heart of BI. In a 1. IBM researcher Hans Peter Luhn used the term business intelligence. He employed the Websters dictionary definition of intelligence the ability to apprehend the interrelationships of presented facts in such a way as to guide action towards a desired goal. Business intelligence as it is understood today is said to have evolved from the decision support systems DSS that began in the 1. DSS originated in the computer aided models created to assist with decision making and planning. From DSS, data warehouses, Executive Information Systems, OLAP and business intelligence came into focus beginning in the late 8. In 1. 98. 9, Howard Dresner later a Gartner analyst proposed business intelligence as an umbrella term to describe concepts and methods to improve business decision making by using fact based support systems. It was not until the late 1. Critics see BI as evolved from mere business reporting together with the advent of increasingly powerful and easy to use data analysis tools. In this respect it has also been criticized as a marketing buzzword in the context of the big data surge. Data discoveryeditData discovery is a buzzword in BI for creating and using interactive reports and exploring data from multiple sources. The market research firm Gartner promoted it in 2. Data discovery is a user driven process of searching for patterns or specific items in a data set. Data discovery applications use visual tools such as geographical maps, pivot tables, and heat maps to make the process of finding patterns or specific items rapid and intuitive. Statistical and data mining techniques can be employed to accomplish these goals. Business Environment In A Global Context Pdf To Word' title='Business Environment In A Global Context Pdf To Word' />Data discovery is a type of business intelligence in that they both provide the end user with an application that visualizes data using dashboards, static and parameterized reports, and pivot tables. Visualization of data in traditional BI incorporated standard charting, key performance indicators, and limited graphical representation and interactivity. BI is undergoing transformation in capabilities it offers, with a focus on end user data analysis and discovery, access to larger volumes of data and an ability to create high fidelity presentations of information. Data warehousingeditTo distinguish between the concepts of business intelligence and data warehouses, Forrester Research defines business intelligence in one of two ways Using a broad definition Business Intelligence is a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information used to enable more effective strategic, tactical, and operational insights and decision making. Under this definition, business intelligence also includes technologies such as data integration, data quality, data warehousing, master data management, text and content analytics, and many others that the market sometimes lumps into the Information Management segment. Therefore, Forrester refers to data preparation and data usage as two separate but closely linked segments of the business intelligence architectural stack. Forrester defines the narrower business intelligence market as,. BI architectural stack such as reporting, analytics and dashboards. Comparison with competitive intelligenceeditThough the term business intelligence is sometimes a synonym for competitive intelligence because they both support decision making, BI uses technologies, processes, and applications to analyze mostly internal, structured data and business processes while competitive intelligence gathers, analyzes and disseminates information with a topical focus on company competitors. If understood broadly, business intelligence can include the subset of competitive intelligence. Comparison with business analyticseditBusiness intelligence and business analytics are sometimes used interchangeably, but there are alternate definitions. One definition contrasts the two, stating that the term business intelligence refers to collecting business data to find information primarily through asking questions, reporting, and online analytical processes. Business analytics, on the other hand, uses statistical and quantitative tools for explanatory and predictive modelling.