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BI Data Analyst

​Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis and management of business information.[1] 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 tools 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, and help them take strategic decisions.[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 facilitates decision support.

​The Metropolitan Borough of Walsall is a metropolitan borough in the West Midlands, England. It is named after its largest settlement, Walsall, but covers a larger area which also includes Aldridge, Bloxwich, Brownhills, Darlaston, Pelsall and Willenhall. It also serves as the post town for nearby Cannock Chase District and Lichfield District respectively.

The borough had an estimated population of 254,500 in 2007.[2]

The current boundaries were set as part of the provisions of the Local Government Act 1972, with a change to the north of the borough in 1994.[3] It is bounded on the west by the City of Wolverhampton, the south by the Metropolitan Borough of Sandwell, to the south east by the City of Birmingham, and by the Staffordshire districts of Lichfield, Cannock Chase and South Staffordshire to the east, north and northwest respectively. Most of the borough is highly industrialised and densely populated, but areas around the north and east of the borough are open space.

In 1986 the borough became an effective unitary authority when the West Midlands County Council was abolished. However it remains part of the West Midlands for ceremonial purposes, and for functions such as policing, fire and public transport.

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