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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.
North Wales (Welsh: Gogledd Cymru), also known as the North of Wales (or simply the North, or in Welsh 'y Gogledd' in Wales), is a geographic region of Wales, encompassing its northernmost areas. It borders Mid Wales (or South Wales under some definitions) to the south, England to the east, and the Irish Sea to the north and west. The area is highly mountainous and rural, with Snowdonia National Park (Parc Cenedlaethol Eryri) and the Clwydian Range, known for its mountains, waterfalls and trails, located wholly within the region. Its population is more concentrated in the north-east, and northern coastal areas of the region, whilst significant Welsh-speaking populations are situated in its western and rural areas. North Wales is imprecisely defined, lacking any exact definition or administrative structure. For the public purposes of health, policing and emergency services, and for statistical,[1] economic[2][3] and cultural[note 2][4] purposes, North Wales is commonly defined administratively as its six most northern principal areas, but other definitions of the geographic region exist, with Montgomeryshire historically considered to be part of the region.
Those from North Wales are sometimes referred to as "Gogs" (from "Gogledd" – the Welsh word for "north");[5] in comparison, those from South Wales are sometimes called "Hwntws" by those from North Wales.
The region includes the localities of Wrexham, Deeside, Rhyl, Colwyn Bay, Flint, Bangor, Llandudno, and Holyhead. The largest localities in North Wales are the town of Wrexham and the conurbations of Deeside and Rhyl/Prestatyn, where the main retail, cultural, educational, tourism, and transport infrastructure and services of North Wales are located.
