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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.

​Northamptonshire (/nɔːˈθæmptənʃɪə, -ʃə/;[4] abbreviated Northants.), archaically known as the County of Northampton, is a county in the East Midlands of England. In 2015 it had a population of 723,000. The county is administered by Northamptonshire County Council and by seven non-metropolitan district councils. It is known as "The Rose of the Shires".

Covering an area of 2,364 square kilometres (913 sq mi), Northamptonshire is landlocked between eight other counties: Warwickshire to the west, Leicestershire and Rutland to the north, Cambridgeshire to the east, Bedfordshire to the south-east, Buckinghamshire to the south, Oxfordshire to the south-west and Lincolnshire to the north-east – England's shortest administrative county boundary at 20 yards (19 metres), although this was not the case with the historic county boundary.[5] Northamptonshire is the southernmost county in the East Midlands region.

Apart from the county town of Northampton, other major population centres include Kettering, Corby, Wellingborough, Rushden and Daventry. Northamptonshire's county flower is the cowslip.[6] The city of Peterborough was also part of the county until the creation of the Soke of Peterborough.

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