Business Intelligence 101 for Business (BI 101)
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Transcript of Business Intelligence 101 for Business (BI 101)
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Andrew FryerMicrosoft UK
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BITools and techniques that support better decision makingTurns data into insight
Performance Management:Process to set objectives and plansExpressed as goals, plans, metrics & KPIsUses Rules and WorkflowsIs Organisation aware.
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90% of organisations fail to execute their strategies successfully95% of a typical workforce doesn’t understand how the organisational goals relate to their job.86% of teams spend less than one hour a month discussing strategy60% of organisations don’t link their strategies to plans and budgets
Source: Palladium Group/BSCOL
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Historical (& current)ConsistentIntegratedIn the user’s model
ERPERP CRMCRM 3Pty3PtySCMSCM
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Reporting Analyzing Forecasting Planning
For salesFor salesOperationalOperationalFinancial Financial Statutory Statutory
Performance Performance management management Business Activity Business Activity MonitoringMonitoringSales analysisSales analysisCampaign, Promotion Campaign, Promotion analysisanalysisHR analysisHR analysisProduct mixProduct mixRisk analysisRisk analysisSensitivity analysisSensitivity analysis
Volume and Sales Volume and Sales forecastingforecastingRates simulationRates simulationCurrency HedgingCurrency HedgingStock portfolio Stock portfolio managementmanagementStore/ATM Store/ATM placementplacementPromotion Promotion forecastingforecastingSupermarket Supermarket queuingqueuing
RoutingRoutingReorg simulationReorg simulationBudgeting Budgeting New Product New Product launch planning …launch planning …
What happened?
What is happening?
Why?
What will happen?
What do I want to happen?
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Central RepositoryDesigned & optimised for ReportingComprises Dimensions and FactsStar SchemaBuilt in modular form from Data Marts
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Used by everyone in the businessWeb based deliverySome interactionFilters, sort, export to file & Excel
Can be run direct from source systems to support operations
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Based on work by Norton & KaplanTop Down approachPerformance should relate to rewards
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On-Line Analytical Processing (OLAP)Traditionally specialised useMulti-Dimensional or RelationalDimensions understand hierarchiese.g. Year-quarter-week
Contain semi-additive & non-additive factse.g. Closing balance, profit margin %
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Invariably Excel basedTraditionally finance focusedConsolidation across enterpriseShould feed back into the reports & analysis
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Traditionally Highly SpecialisedUsed for:
Basket AnalysisCustomer segmentation
Three stage process:Model built in on sample dataTested on Test dataDeployed on Live Data
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Applications & Analytical
Clients
Applications & Analytical
Clients
ToolsTools
PlatformPlatform
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Compelling business needStrong business sponsorGood business / IT relationshipCulture of analysisInfrastructure