Business Intelligence and Analytics
Advanced AnalyticsAffinity-Based RecommendationsAgile AnalyticsAnalytical DatabaseAnalytics ArchitectureAnalytics SuiteAnalytics-as-a-Service (AaaS)Application AnalyticsApplication Lifecycle Management (ALM)Behavioral SegmentationBig Data SecurityBusiness Intelligence ArchitectureBusiness Process Modeling (BPM)Call AttributionCloud AnalyticsCloud AutomationCollaborative FilteringColumnar DatabaseConnection StringContextual DataContinuous Intelligence (CI)Conversion AttributionCRM OnboardingCross-Channel TrackingData ActivationData BlendingData CleaningData DiscoveryData ExplorationData GovernanceData IntelligenceData MartData MiningData ModelingData PreparationData ScienceData StewardshipData StorytellingData Warehouse ArchitectureDatabase SecurityDeep LearningDescriptive AnalyticsDevOps Continuous IntegrationEdge AnalyticsEmbedded ReportingEntity Relationship Diagram (ERD)Financial Data ManagementFirmographicsGeo AnalyticsHealthcare AnalyticsHealthcare InformaticsIn-Memory BIInfused AnalyticsInteractive VisualizationKPI DashboardKPI TrackingLocation AnalyticsManaged CloudMarketing Acceleration PlatformMarketing AnalyticsMarketing Qualified LeadMobile AnalyticsMPP DatabaseNatural Language UnderstandingNet Promoter Score (NPS)Next Best Action MarketingOmnichannel RetailingOperational IntelligenceOperational ReportingPredictive Data AnalyticsPredictive MaintenancePredictive SegmentationPrescriptive AnalyticsProduct AnalyticsR AnalyticsReal Time DashboardReal-Time AnalyticsRelational DatabaseReporting PerformanceRetail AnalyticsRetention MarketingSelf-Service Business IntelligenceSQL for Data AnalysisTalent AnalyticsText MiningUnified Data ManagementUnstructured DataVisual Data AnalysisVisual Workflow
A/B TestingActive BuyerAffinity MarketingAffinity-Based RecommendationsAudience BuyingBaby BoomersBack to Back Focus GroupsBrand IdentityClickstream BehaviorCluster AnalysisCRM OnboardingCustomer Cohort AnalysisCustomer Experience Management (CEM)Customer JourneyLifestyle ResearchLifetime ValueRaceRevenue Per VisitorTarget AudienceUser IDUser-Generated Content (UGC)
Display & Native Advertising
Ad MediationAd ViewabilityAutomated bid strategyBehavioral AdvertisingContextual targetingConversion TrackingCost per acquisition (CPA)Display Advertising TrafficImpressionsInteractive Mobile AdsLocation-based Advertising (LBA)Native AdsPath Length ReportPlayable AdsProgrammatic Media BuyingRewarded Video AdsSmart ListsUser IDVideo Companion ImpressionsVideo PublisherView RateView-through conversion windowYield Management
- Email Marketing
Market Research & Traffic Analysis
A.C. Nielsen Retail IndexA/B TestingAd Concept TestingAd Hoc ResearchAdobe AnalyticsAffinity MarketingBack to Back Focus GroupsCluster AnalysisCore Based Statistical Area (CBSA)Cross-Device MarketingData CollectionData MiningDirect ChannelDisplay ChannelEmail ChannelEngagement RateEye TrackingHomogeneous GroupsHypothesis TestingIndexLifestyle ResearchLikert ScaleMarket EffectivenessMarket SegmentationMarket ShareMonthly Unique VisitorsNet Promoter Score (NPS)Neural NetworkNiche MarketingNielsen RatingsObservation BiasObservation ResearchOrganic ChannelPaid Search ChannelPath Length ReportPrimary ResearchQualitative ResearchRaceReferral ChannelSocial Media ChannelWebsite Survey
MarTech and AdTech
Acme DataAdobe TargetAmazon CloudFrontAmazon RedshiftAnalanceAnswerMinerAppDynamicsBaremetricsBomboraBootstrapBrightcoveCisco CMX EngageDasherooDundas BIFivetranFunnelGoogle BigQueryGoogle Data StudioGoogle Marketing PlatformGoogle OptimizeHoneywell Operational IntelligenceIBM Cognos AnalyticsIBM InfoSphere Data ArchitectInspectletJenkinsKissflowKNIME Analytics PlatformLiveRampLookerMarketing Technology StackMarketoMicrosoft Power BIMicrosoft SQL Server ReportingNutanixOptimizelyPendoPowerCenter InformaticaQlikViewSalesforce PardotSAP Crystal ReportsSocialbakersSQLiteStriimTableauTobii DynavoxTrade DeskTrifactaUserExperiorVisual Website Optimizer (VWO)Wolfram MathematicaWooCommerceYellowfin BIYieldify
Mobile App Intelligence
Ad MediationAd ViewabilityAd WhalesAdjustApp Churn RateApp DemographicsApp MonetizationApp RatingApp Store TrafficApplication Lifecycle Management (ALM)AR (Augmented Reality) AdvertisingAverage Revenue Per Paying User (ARPPU)Cross PromotionDaily Active Users (DAU)Dynamic TestingIn-App AdvertisingIn-App BiddingInstant MessagingInteractive Mobile AdsK-FactorLocation-based Advertising (LBA)Mobile Ad FraudMobile AttributionMonthly Active Users (MAU)Playable AdsPush NotificationRewarded Video AdsSDK MediationSearch TermsServer Side MediationYield Management
Paid Search Advertising
Ad deliveryAd extensionsAd MediationAd strengthAd ViewabilityAutomated bid strategyAverage Order Value (AOV)Combined audiencesConversion AttributionConversion TrackingCost per acquisition (CPA)Floodlight TagHeadline TestingImpressionsKeyword ResearchLocation-based Advertising (LBA)Path Length ReportQuality scoreReturn on investment (ROI)SitelinksSmart BiddingSmart ListsUser IDView-through conversion windowYield Management
Social Media Sensing
Ad ViewabilityCommunity ManagerCountry ReachImpressionsInstant MessagingLocation-based Advertising (LBA)MicrobloggingNet Media CostPinterestPlayable AdsReachReputation ManagementRewarded Video AdsRich PinsSnapchatSocial Media ConversionsSocial Media ListeningUser-Generated Content (UGC)Video Companion Impressions
Technology and Innovation
Artificial IntelligenceBig DataBlockchainData WarehouseDeep LearningDisruptive InnovationInternet of ThingsMarketing Technology StackPredictive Data AnalyticsPredictive SegmentationPrescriptive AnalyticsR AnalyticsVoice Assistants
TV Ad Measurement and Insights
Ad ViewabilityAd-supported streaming video on demand (ASVOD)Addressable TVAdvanced TVAutomatic content recognition (ACR)Broadcast Addressable TVHousehold DataLocation-based Advertising (LBA)Multichannel Video Programming Distributor (MVPD)Nielsen RatingsOver-the-top (OTT)Skinny BundleSubscription video on demand (SVOD)Targeting Rating Point (TRP)Television advertisementTelevision Viewer Rating (TVR)TV NetworkUpfrontsVideo on demand (VOD)
Prescriptive Analytics is the area of data analytics that focuses on finding the best course of action in a scenario given the available data. It’s related to both descriptive analytics and predictive analytics but emphasizes actionable insights instead of data monitoring. Whereas descriptive analytics offers BI insights into what has happened, and predictive analytics focuses on forecasting possible outcomes, prescriptive analytics aims to find the best solution given a variety of choices.
What is prescriptive modeling?
Essentially they predict multiple futures and allow companies to assess a number of possible outcomes based upon their actions. Prescriptive analytics use a combination of techniques and tools such as business rules, algorithms, machine learning and computational modelling procedures.
What is the difference between Prescriptive Analytics and Data Science?
Prescriptive analytics gathers data from a variety of both descriptive and predictive sources for its models and applies them to the process of decision-making. This includes combining existing conditions and possible decisions to determine how each would impact the future. See the full article for more details.
What is prescriptive research?
Prescriptive research, like Evaluative research, is applied rather than theoretical. It differs from Evaluative research in that it goes a step further, beyond identifying success or performance or outcomes, and actually recommends solutions or new ideas.
What is prescriptive data analytics?
Prescriptive analytics is a type of data analytics – the use of technology to help businesses make better decisions through the analysis of raw data. It can be used to make decisions on any time horizon, from immediate to long term.
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