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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 City of Leeds is a city and metropolitan borough in West Yorkshire, England. The metropolitan borough includes the administrative centre of Leeds and the towns of Farsley, Garforth, Guiseley, Horsforth, Morley, Otley, Pudsey, Rothwell, Wetherby and Yeadon.[4] It has a population of 793,139 (mid-2019 est.), making it technically the second largest city in England by population behind Birmingham, since London is not a single local government entity. It is governed by Leeds City Council.
The current city boundaries were set on 1 April 1974 by the provisions of the Local Government Act 1972, as part a reform of local government in England. The city is a merger of eleven former local government districts; the unitary City and County Borough of Leeds combined with the municipal boroughs of Morley and Pudsey, the urban districts of Aireborough, Garforth, Horsforth, Otley and Rothwell, and parts of the rural districts of Tadcaster, Wharfedale and Wetherby from the West Riding of Yorkshire.
For its first 12 years the city had a two-tier system of local government; Leeds City Council shared power with West Yorkshire County Council. Since the Local Government Act 1985 Leeds City Council has effectively been a unitary authority, serving as the sole executive, deliberative and legislative body responsible for local policy, setting council tax, and allocating budget in the city, and is a member of the Leeds City Region Partnership. The City of Leeds is divided into 31 civil parishes and a single unparished area.
