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 governance is like the WHO-WHAT-HOW-WHEN-WHERE-WHY of data management. It’s all about how you handle the data collected within your business. All organizations need to plan how they use data so it’s handled consistently throughout the business.
This not only ensures that data is safe and handled in compliance with regulations but also helps you gain value from all the information at your fingertips – improving business performance.
What is the role of data governance?
Data governance is the initiative a company takes to create and enforce a set of rules and policies regarding its data. These policies cover issues such as: Assigning accountability to employees responsible for data assets. Granting or restricting access to data, as needed.
What is a data governance program?
The management processes and policies necessary to ensure that data captured or generated within a company is of an appropriate standard to use, represents actual business facts and has its integrity preserved when transferred to repositories (e.g. Data Lakes and / or Data Warehouses, General Ledgers etc.), especially when this transfer involves aggregation or merging of different data sets. See the full article for more details.
Why is data governance so important?
Data governance is a set of processes that ensures that important data assets are formally managed throughout the enterprise. It ensures that trusted information is used for critical business processes, decision making, and accounting.
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