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Business Intelligence
Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information.[1] BI technologies provide historical, current, and predictive views of business operations.
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 technologies 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.[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 facilitate decision support.
St Neots /sɛnʔ ˈniːəts/[b] is a town and civil parish in the Huntingdonshire District of the county of Cambridgeshire, England, approximately 50 miles (80 km) north of central London. The town straddles the River Great Ouse and is served by a railway station on the East Coast Main Line. It is 14 miles (23 km) west of Cambridge, to which it is linked by the A428 arterial road. It is the largest town in Cambridgeshire and had a population of 30,811 in the 2011 census.[c]
The town is named after the Cornish monk Saint Neot, whose bones were moved to the Priory here from the hamlet of St Neot on Bodmin Moor in around 980 AD. Pilgrimage to the priory church and parish church brought prosperity to the settlement and the town was granted a market charter in 1130. In the 18th and 19th centuries the town enjoyed further prosperity through corn milling, brewing, stagecoach traffic and railways.
After the Second World War the town and its industry were chosen for rapid growth as London councils paid for new housing to be built to rehouse families from London. The first London overspill housing was completed in the early 1960s and new housing has continued at a slightly lower rate such that the population, including the areas transferred from Bedfordshire, is approximately four times that of the 1920s.
