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.
Nottinghamshire (pronounced /ˈnɒtɪŋəmʃər, -ʃɪər/;[2] abbreviated Notts.) is a county in the East Midlands region of England, bordering South Yorkshire to the north-west, Lincolnshire to the east, Leicestershire to the south, and Derbyshire to the west. The traditional county town is Nottingham, though the county council is based at County Hall in West Bridgford in the borough of Rushcliffe, at a site facing Nottingham over the River Trent.
The districts of Nottinghamshire are Ashfield, Bassetlaw, Broxtowe, Gedling, Mansfield, Newark and Sherwood, and Rushcliffe. The City of Nottingham was administratively part of Nottinghamshire between 1974 and 1998, but is now a unitary authority,[2] remaining part of Nottinghamshire for ceremonial purposes.
In 2017, the county was estimated to have a population of 785,800. Over half of the population of the county live in the Greater Nottingham conurbation (which continues into Derbyshire).[3] The conurbation has a population of about 650,000, though less than half live within the city boundaries.[citation needed]