Business Intelligence and Analytics
Advanced AnalyticsAgile AnalyticsAnalytical DatabaseAnalytics ArchitectureAnalytics-as-a-Service (AaaS)Application AnalyticsApplication Lifecycle Management (ALM)Behavioral SegmentationBig Data SecurityBusiness Intelligence ArchitectureBusiness Process Modeling (BPM)Cloud AnalyticsCloud AutomationColumnar DatabaseConnection StringContextual DataData BlendingData CleaningData DiscoveryData ExplorationData GovernanceData IntelligenceData MartData MiningData ModelingData PreparationData ScienceData Warehouse ArchitectureDatabase SecurityDescriptive AnalyticsDevOps Continuous IntegrationEdge AnalyticsEmbedded ReportingEntity Relationship Diagram (ERD)Financial Data ManagementGeo AnalyticsHealthcare AnalyticsHealthcare InformaticsIn-Memory BIInteractive VisualizationKPI DashboardKPI TrackingLocation AnalyticsManaged CloudMarketing AnalyticsMobile AnalyticsMPP DatabaseNatural Language UnderstandingOperational IntelligenceOperational ReportingPredictive Data AnalyticsPredictive MaintenancePrescriptive AnalyticsR AnalyticsReal Time DashboardReal-Time AnalyticsRelational DatabaseRetail AnalyticsSelf-Service Business IntelligenceSQL for Data AnalysisTalent AnalyticsText MiningUnified Data ManagementVisual Data Analysis
A/B TestingActive BuyerAffinity MarketingAudience BuyingBaby BoomersBack to Back Focus GroupsBrand IdentityClickstream BehaviorCluster AnalysisCustomer Cohort AnalysisCustomer Experience Management (CEM)Customer JourneyLifestyle ResearchLifetime ValueRaceRevenue Per VisitorTarget AudienceUser IDUser-Generated Content (UGC)
Display & Native Advertising
Automated bid strategyBehavioral AdvertisingContextual targetingConversion TrackingCost per acquisition (CPA)Display Advertising TrafficInteractive Mobile AdsNative AdsPath Length ReportProgrammatic Media BuyingSmart 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 AnalysisData CollectionData MiningDirect ChannelDisplay ChannelEmail ChannelEngagement RateHomogeneous GroupsHypothesis TestingIndexLifestyle ResearchMarket SegmentationMarket ShareMonthly Unique VisitorsNielsen RatingsOrganic ChannelPaid Search ChannelPath Length ReportPrimary ResearchQualitative ResearchRaceReferral ChannelSocial Media Channel
MarTech and AdTech
Acme DataAdobe TargetAmazon CloudFrontAmazon RedshiftAnalanceAnswerMinerAppDynamicsBaremetricsBomboraBootstrapBrightcoveCisco CMX EngageDasherooDundas BIFunnelGoogle 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 ReportsSocialbakersSQLiteStriimTableauTrade DeskTrifactaUserExperiorVisual Website Optimizer (VWO)Wolfram MathematicaWooCommerceYellowfin BIYieldify
Mobile App Intelligence
Ad WhalesAdjustApp Churn RateApp DemographicsApp MonetizationApp 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-FactorMobile Ad FraudMobile AttributionMonthly Active Users (MAU)SDK MediationSearch TermsYield Management
Paid Search Advertising
Ad deliveryAd extensionsAd strengthAutomated bid strategyCombined audiencesConversion TrackingCost per acquisition (CPA)Floodlight TagKeyword ResearchPath Length ReportQuality scoreReturn on investment (ROI)Smart BiddingSmart ListsUser IDView-through conversion windowYield Management
Social Media Sensing
Country ReachInstant MessagingMicrobloggingNet Media CostPinterestReachReputation ManagementRich PinsSnapchatSocial Media ConversionsSocial Media ListeningUser-Generated Content (UGC)Video Companion Impressions
- Technology and Innovation
TV Ad Measurement and Insights
Ad-supported streaming video on demand (ASVOD)Addressable TVAdvanced TVAutomatic content recognition (ACR)Broadcast Addressable TVHousehold DataMultichannel Video Programming Distributor (MVPD)Nielsen RatingsOver-the-top (OTT)Skinny BundleTargeting Rating Point (TRP)Television advertisementTV NetworkUpfrontsVideo on demand (VOD)
Data discovery is the collection and analysis of data from various sources to gain insight from hidden patterns and trends. It is the first step in fully harnessing an organization’s data to inform critical business decisions.
What is data discovery in data mining?
Data Mining also known as Knowledge Discovery in Databases, refers to the nontrivial extraction of implicit, previously unknown and potentially useful information from data stored in databases.
What is data science and analytics?
Data Science is the science of data analysis methods and models that aims to extracting valuable information and knowledge from it. In other words data science is a term for different ways and methods to get information. This is a kind of mix of statistics, mathematics, programming, and problem solving processes.
What is smart data discovery?
Smart data discovery is a next-generation data discovery capability that provides business users or citizen data scientists with insights from advanced analytics. Business intelligence and analytics leaders should plan for adoption as capabilities mature.
What is smart data?
Smart data is digital information that is formatted so it can be acted upon at the collection point before being sent to a downstream analytics platform for further data consolidation and analytics.
What is data discovery in big data?
Data discovery is the collection and analysis of data from various sources to gain insight from hidden patterns and trends. It is used profusely in the BI market and describes a fundamental transition in BI tools as emphasis has shifted from reporting to looking for new trends. See the full article for more details.
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