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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.

​Staffordshire (/ˈstæfərdˌʃɪər, -ʃər/;[2] postal abbreviation Staffs.) is a landlocked county in the West Midlands of England. It borders Cheshire to the northwest, Derbyshire and Leicestershire to the east, Warwickshire to the southeast, West Midlands and Worcestershire to the south, and Shropshire to the west.

The largest settlement in Staffordshire is Stoke-on-Trent, which is administered as an independent unitary authority, separately from the rest of the county. Lichfield, a smaller settlement, is a cathedral city. Other major settlements include Stafford, Burton upon Trent, Cannock, Newcastle-under-Lyme, Rugeley, Leek, and Tamworth.

Smaller towns include Stone, Cheadle, Uttoxeter, Burntwood/Chasetown, Eccleshall, Biddulph, Penkridge and the large villages of Wombourne, Kinver, Tutbury, Alrewas, Barton-under-Needwood, Stretton and Abbots Bromley. Cannock Chase AONB is within the county as well as parts of the National Forest and the Peak District national park.

Wolverhampton, Walsall, West Bromwich and Smethwick are within the historic county boundaries of Staffordshire, but since 1974 have been part of the West Midlands county.

Apart from Stoke-on-Trent, Staffordshire is divided into the districts of Cannock Chase, East Staffordshire, Lichfield, Newcastle-under-Lyme, South Staffordshire, Stafford, Staffordshire Moorlands, and Tamworth.