Business intelligence

Identifying new opportunities and implementing an effective strategy based on insights is assumed to potentially provide businesses with a competitive market advantage and long-term stability, and help them take strategic decisions.Devens used the term to describe how the banker Sir Henry Furnese gained profit by receiving and acting upon information about his environment, prior to his competitors: Throughout Holland, Flanders, France, and Germany, he maintained a complete and perfect train of business intelligence.The news of the many battles fought was thus received first by him, and the fall of Namur added to his profits, owing to his early receipt of the news.The ability to collect and react accordingly based on the information retrieved, Devens says, is central to business intelligence."[10] According to Forrester Research, business intelligence is "a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information used to enable more effective strategic, tactical, and operational insights and decision-making.Some elements of business intelligence are:[citation needed] Forrester distinguishes this from the business-intelligence market, which is "just the top layers of the BI architectural stack, such as reporting, analytics, and dashboards.[15] Business operations can generate a very large amount of data in the form of e-mails, memos, notes from call-centers, news, user groups, chats, reports, web-pages, presentations, image-files, video-files, and marketing material.[17][18] Because of the difficulty of properly searching, finding, and assessing unstructured or semi-structured data, organizations may not draw upon these vast reservoirs of information, which could influence a particular decision, task, or project.
data analysisinformationreportingonline analytical processinganalyticsdashboarddata miningprocess miningcomplex event processingbusiness performance managementbenchmarkingtext miningpredictive analyticsprescriptive analyticsbusiness opportunitiesbig datainsightsbusinessesproduct positioningpricingStrategic businessmarket segmentsdata warehousedata martdecision supportSir Henry Furnesefall of NamurHans Peter LuhnWebster's DictionaryGartnerumbrella termData gatheringData storageKnowledge managementForrester Researchinformation managementdata integrationdata qualityaggregationDenormalizationunstructured datarolling forecastsStatistical inferenceKey performance indicatorsVersion controldashboardscompetitive intelligencedecision makingbusiness analyticsThomas DavenportBabson CollegequeryingMerrill Lynchunstructuredsemi-structuredTerminologymetadataautomatic categorizationinformation extractiongenerative AIlarge language modelsMicrosoft CopilotPower BIPerformance metricsBusiness process managementstatistical analysispredictive modelingbusiness process modelingdata lineagedata visualizationexecutive information systemcollaborationdata sharingelectronic data interchangelearning managementregulatory complianceBusiness analystData analystData engineerData scientistDatabase administratorFinancial analystAgile Business IntelligenceAnalytic applicationsArcplanArtificial intelligence marketingBusiness activity monitoringBusiness Intelligence 2.0Business Intelligence Competency CenterBusiness intelligence softwareBusiness process discoveryCustomer dynamicsDecision engineeringEmbedded analyticsEnterprise planning systemsIntegrated business planningManagement information systemMobile business intelligenceOperational intelligenceReal-time business intelligenceSales intelligenceTest and learnLuhn, H. P.Data warehousesDatabaseDimensionDimensional modelingStar schemaSnowflake schemaReverse star schemaAggregateSingle version of the truthColumn-oriented DBMSData hubData meshAnchor modelingData vault modelingOperational data storeData dictionarySixth normal formSurrogate keyFact tableEarly-arriving factMeasureDimension tableDegenerateSlowly changingExtract, transform, load (ETL)Extract, load, transform (ELT)ExtractTransformDecision support system (DSS)OLAP cubeData warehouse automationData Mining Extensions (DMX)MultiDimensional eXpressions (MDX)XML for Analysis (XMLA)Reporting softwareSpreadsheetBill InmonInformation factoryRalph KimballEnterprise busDan LinstedtComparison of OLAP servers