Business Intelligence And Analytics And Data Visualization For .

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Business Intelligence andAnalytics and Data Visualizationfor Efficient BusinessManagement

Some people will be usingBusiness Intelligence withouteven knowing it.- Kurt Schlegel

What is Business Intelligence?TechnologyApplicationPracticesUSED FORData CollectionData IntegrationData AnalysisPresentation

Business Intelligence is not just aboutturning data into information, ratherorganizations need that data to impacthow their business operates andresponds to the changing marketplace.- Gerald Cohen

Why Business Intelligence?Helps in defining growth strategiesGaining insights from huge data setsBetter decision making leading to higher revenueBetter understanding of customersCompetitive advantage

Business Intelligence Processuncoveropportunities inyour ownhistoricaloperations thatdatadrive efficiencyin both revenueand costspredictiveanalyticsto estimatehow changesaffect youto inform ancoherentd speedandup yourconsistentdecisiontoolsmakingprocess.

Business Intelligence functionsReportingBusinessPerformanceData MiningProcess MiningComplex eventprocessingText ptiveAnalysis

Descriptive AnalyticsWhat has occurred?

Predictive AnalyticsWhat will occur?

Prescriptive AnalyticsWhat should occur?

Business Intelligence vs Business AnalyticsBusiness IntelligenceBusiness Analytics Deals with what happenedin the past and how ithappened leading up to thepresent moment. It identifies big trends andpatterns without diggingtoo much into the why’s orpredicting the future. Deals with the why’s ofwhat happened in the pastby breaking it down intocontributing factors. It uses these why’s to makepredictions of what willhappen in the future.

Business Intelligence vs Business AnalyticsBusinessIntelligenceDescriptive analytics: Createssummary of historical data tovisualizeDiagnostic analytics: Determinesthe source of issues discovered byDescriptive analyticsPredictive analytics: Makespredictions based on collecteddataPrescriptive analytics: Offerssolutions for issues found bydescriptive analyticsBusinessAnalytics

Pervasive BIMobileBIBig DataPredictiveAnalyticsBI BasedOrganizationsBI 2.0SoftwareMaster DataManagementBI in theCloudReal Time BIBI GovernanceIn-MemoryAnalyticsData ScientistsSaaSDataAppliancesBI Competency CentersBI basesAdvanced DataVisualizationRules EnginesHadoop/MapReduceOpen SourceBI Software

Importance of DataDriven Insights inEffective DecisionMaking

The goal is to turn data intoinformation, and informationinto insight.- Carly Fiorina

Act today for better results tomorrowEarly ViewCustomer firstData vs. GutAny Guesses?Identify pattern

Information is the oil of the21st century, and analyticsis the combustion engine.c- Peter Sondergaard

Data will talk if you're willing to listen!Step 1Step 2Step 4Step 3

Hypothesis Dummy data that talks about a bank’s customers Tool used: Power BI 4 steps to represent our data and analyze Unfolding the advantages of Data Driven Insights

Step 1: Understanding the data

Step 2: Re-arranging the data

Step 3: Analysing the dataGeographical concentrationDistribution by Balance18 Distribution by AgeDistribution by GenderDistribution by Profession

Step 4: Representation of data

Act today for better results tomorrow Early ViewCustomer firstReact in advanceAct swiftlyPlan betterMitigate risk Changingcustomer needs Enhancedservicing Data vs. GutIdentify patternDynamicenvironmentAnalysis vs.Instincts Connecting thedots Understandingthe linkages

Data visualization toolsEase ofuseFreeversionAdvantageTableauPower BIQlik BIVery intuitive anduser friendly (Nontechnical users canuse easily)User friendly –Knowledge ofMicrosoft Excel isenoughEasy to learn forpeople with DataSciencebackgroundTableau Public isfree, TableauServer is licensed.Flexibility to createcustom visualsgives it an edgeDesktop version isfree, Power BI Prois pay per monthQlik Personal isfree, Qlik Sense ispaidInexpensive,complex visualsare easy to createProvide deeprange analytics anddataset support

Business Intelligence vs Business Analytics Business Intelligence Deals with what happened in the past and how it happened leading up to the present moment. It identifies big trends and patterns without digging too much into the why'sor predicting the future. Business Analytics Deals with the why'sof what happened in the past

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