BI Data Analyst
Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis and management of business information. 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.
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.
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.
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" or as "BIDW". A data warehouse contains a copy of analytical data that facilitates decision support.
The Metropolitan Borough of Rotherham is a metropolitan borough of South Yorkshire, England. It is named after its largest town, Rotherham, but also spans the outlying towns of Maltby, Swinton, Wath-upon-Dearne, Dinnington and also the villages of Rawmarsh and Laughton. A large valley also spans the entire borough. Locally known as the Rother Valley.
The district was formed on 1 April 1974, under the Local Government Act 1972, as a merger of the County Borough of Rotherham, with Maltby, Rawmarsh, Swinton and Wath-upon-Dearne urban districts along with Rotherham Rural District and Kiveton Park Rural District.
Rotherham Metropolitan Borough Council is one of the safest Labour councils in the United Kingdom, although the number of Labour council seats dropped from 92% to 79% in 2014 following the Rotherham child sexual exploitation scandal.