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Business Intelligence

​Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information.[1] BI technologies provide historical, current, and predictive views of business operations.

Common functions of business intelligence technologies include reporting, online analytical processing, analytics, dashboard development, 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.[2]

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). 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.[3]

Among myriad uses, business intelligence tools empower organizations 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.[4]

BI applications use data gathered from a data warehouse (DW) or from a data mart, and the concepts of BI and DW combine as "BI/DW"[5] or as "BIDW". A data warehouse contains a copy of analytical data that facilitate decision support.

​Rhyl (/rɪl/; Welsh: Y Rhyl, pronounced [ə ˈr̥ɨl]) is a seaside resort and community in the Welsh county of Denbighshire. It lies within the historic boundaries of Flintshire, on the north-east coast of Wales at the mouth of the River Clwyd (Welsh: Afon Clwyd). To the west is the suburb of Kinmel Bay and the resort of Towyn beyond, to the east Prestatyn, and to the south Rhuddlan. At the 2011 Census, Rhyl had a population of 25,149, with Rhyl-Kinmel Bay having 31,229.[2] The Abergele–Rhyl–Prestatyn conurbation numbers over 60,000. Once an elegant Victorian resort, an influx from Liverpool and Manchester after the Second World War changed the town's face. It had declined sharply by 1990, but has since been improved by major regeneration investments. Several million pounds of European Union funding to the Welsh Government has gone on developing the seafront.

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