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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.
Glossop is a market town in the High Peak, Derbyshire, England, 12 miles (19 km) east of Manchester, 24 miles (39 km) northwest of Sheffield and 32 miles (51 km) north of the county town, Matlock, near Derbyshire's borders with Cheshire, Greater Manchester, South Yorkshire and West Yorkshire. It is between 150 and 300 metres (492 and 984 ft) above mean sea level, and lies just outside the Peak District National Park.
Historically, the name Glossop refers to the small hamlet that gave its name to an ancient parish recorded in the Domesday Book of 1086, and then the manor given by William I of England to William Peverel. A municipal borough was created in 1866, and the unparished urban area within two local government wards.[1] The area now known as Glossop approximates to the villages that used to be called Glossopdale, on the lands of the Duke of Norfolk. Originally a centre of wool processing, Glossop rapidly expanded in the late 18th century when it specialised in the production and printing of calico, a coarse cotton, and became a mill town with many chapels and churches, its fortunes tied to the cotton industry.
Architecturally, the area is dominated by buildings constructed of the local sandstone. There remain two significant former cotton mills and the Dinting railway viaduct. Glossop has transport links to Manchester, making the area popular for commuters.
