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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.
Downham Market, sometimes simply referred to as Downham, is a market town and civil parish in Norfolk, England. It lies on the edge of the Fens, on the River Great Ouse, approximately 11 miles south of King's Lynn, 39 miles west of Norwich and 30 miles north of Cambridge.[2]
The civil parish has an area of 5.2 km² and in the 2011 census had a population of 9,994 in 4,637 households.[3]
Fire Station in 2006, now a heritage centre
It was an agricultural centre, developing as a market for the produce of the Fens with a bridge across the Ouse. During the Middle Ages, it was famed for its butter market and also hosted a notable horse fair. The market is now held Fridays and Saturdays.
Notable buildings in the town include its mediaeval parish church, dedicated to St Edmund, and the Victorian clock tower, constructed in 1878. The town is also known as the place where Charles I hid after the Battle of Naseby. In 2004 the town completed a regeneration project on the Market Place, moving the market to the town hall car park. The decorative town sign depicts the crown and arrows of St Edmund with horses to show the importance of the horse fairs in the town's history.
A heritage centre, Discover Downham, opened in a former fire station in 2016.[4] The town is twinned with Civray, Vienne, France.[5]
