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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.

​Chesterfield is a large market town and borough in Derbyshire, England,[1] 24 miles (39 km) north of Derby and 11 miles (18 km) south of Sheffield at the confluence of the River Rother and River Hipper. Including Whittington, Brimington and Staveley, it had a population of 103,801 in 2012,[2] making it Derbyshire's second largest town. It has been traced to a soon-abandoned Roman fort of the 1st century AD.[3] The name of the later Anglo-Saxon village comes from the Old English ceaster (Roman fort) and feld (pasture).[4][5] Its sizeable street market is held three days a week.[6] The town sits on a coalfield, but little visual evidence of mining remains. Its great landmark is the Church of St Mary and All Saints with a crooked spire.

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