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Business Intelligence and Analytics
Advanced Analytics Affinity-Based Recommendations Agile Analytics Analytical Database Analytics Architecture Analytics Suite Analytics-as-a-Service (AaaS)Application Analytics Application Lifecycle Management (ALM)Behavioral Segmentation Big Data Security Business Intelligence Architecture Business Process Modeling (BPM)Call Attribution Cloud Analytics Cloud Automation Collaborative Filtering Columnar Database Connection String Contextual Data Continuous Intelligence (CI)Conversion Attribution CRM Onboarding Cross-Channel Tracking Data Activation Data Blending Data Cleaning Data Discovery Data Exploration Data Governance Data Intelligence Data Mart Data Mining Data Modeling Data Preparation Data Science Data Stewardship Data Storytelling Data Warehouse Architecture Database Security Deep Learning Descriptive Analytics DevOps Continuous Integration Edge Analytics Embedded Reporting Entity Relationship Diagram (ERD)Financial Data Management Firmographics Geo Analytics Healthcare Analytics Healthcare Informatics In-Memory BI Infused Analytics Interactive Visualization KPI Dashboard KPI Tracking Location Analytics Managed Cloud Marketing Acceleration Platform Marketing Analytics Marketing Qualified Lead Mobile Analytics MPP Database Natural Language Understanding Net Promoter Score (NPS)Next Best Action Marketing Omnichannel Retailing Operational Intelligence Operational Reporting Predictive Data Analytics Predictive Maintenance Predictive Segmentation Prescriptive Analytics Product Analytics R Analytics Real Time Dashboard Real-Time Analytics Relational Database Reporting Performance Retail Analytics Retention Marketing Self-Service Business Intelligence SQL for Data Analysis Talent Analytics Text Mining Unified Data Management Unstructured Data Visual Data Analysis Visual Workflow
Customer Analytics
A/B Testing Active Buyer Affinity Marketing Affinity-Based Recommendations Audience Buying Baby Boomers Back to Back Focus Groups Brand Identity Clickstream Behavior Cluster Analysis CRM Onboarding Customer Cohort Analysis Customer Experience Management (CEM)Customer Journey Lifestyle Research Lifetime Value Race Revenue Per Visitor Target Audience User ID User-Generated Content (UGC)
Display & Native Advertising
Ad Mediation Ad Viewability Automated bid strategy Behavioral Advertising Contextual targeting Conversion Tracking Cost per acquisition (CPA)Display Advertising Traffic Impressions Interactive Mobile Ads Location-based Advertising (LBA)Native Ads Path Length Report Playable Ads Programmatic Media Buying Rewarded Video Ads Smart Lists User ID Video Companion Impressions Video Publisher View Rate View-through conversion window Yield Management
Email Marketing
Contact Form Email Automation Email List Experience Optimization (EXO)Headline Testing Salesforce Pardot Welcome Email
Market Research & Traffic Analysis
A.C. Nielsen Retail Index A/B Testing Ad Concept Testing Ad Hoc Research Adobe Analytics Affinity Marketing Back to Back Focus Groups Cluster Analysis Core Based Statistical Area (CBSA)Cross-Device Marketing Data Collection Data Mining Direct Channel Display Channel Email Channel Engagement Rate Eye Tracking Homogeneous Groups Hypothesis Testing Index Lifestyle Research Likert Scale Market Effectiveness Market Segmentation Market Share Monthly Unique Visitors Net Promoter Score (NPS)Neural Network Niche Marketing Nielsen Ratings Observation Bias Observation Research Organic Channel Paid Search Channel Path Length Report Primary Research Qualitative Research Race Referral Channel Social Media Channel Website Survey
MarTech and AdTech
Acme Data Adobe Target Amazon CloudFront Amazon Redshift Analance AnswerMiner AppDynamics Baremetrics Bombora Bootstrap Brightcove Cisco CMX Engage Dasheroo Dundas BI Fivetran Funnel Google BigQuery Google Data Studio Google Marketing Platform Google Optimize Honeywell Operational Intelligence IBM Cognos Analytics IBM InfoSphere Data Architect Inspectlet Jenkins Kissflow KNIME Analytics Platform LiveRamp Looker Marketing Technology Stack Marketo Microsoft Power BI Microsoft SQL Server Reporting Nutanix Optimizely Pendo PowerCenter Informatica QlikView Salesforce Pardot SAP Crystal Reports Socialbakers SQLite Striim Tableau Tobii Dynavox Trade Desk Trifacta UserExperior Visual Website Optimizer (VWO)Wolfram Mathematica WooCommerce Yellowfin BI Yieldify
Mobile App Intelligence
Ad Mediation Ad Viewability Ad Whales Adjust App Churn Rate App Demographics App Monetization App Rating App Store Traffic Application Lifecycle Management (ALM)AR (Augmented Reality) Advertising Average Revenue Per Paying User (ARPPU)Cross Promotion Daily Active Users (DAU)Dynamic Testing In-App Advertising In-App Bidding Instant Messaging Interactive Mobile Ads K-Factor Location-based Advertising (LBA)Mobile Ad Fraud Mobile Attribution Monthly Active Users (MAU)Playable Ads Push Notification Rewarded Video Ads SDK Mediation Search Terms Server Side Mediation Yield Management
Organic Search
Accelerated Mobile Pages (AMPs)Algorithm Change Alt Attribute Average Order Value (AOV)Black Hat SEO Branded Keyword Breadcrumb Broken Link Duplicate content Dwell Time Featured Snippet Google Hummingbird Googlebot Heatmap Impressions Index Coverage JavaScript (JS)Keyword Cannibalization Keyword Research Link Profile Mentions Nofollow link Organic Keyword Path Length Report Redirection Responsive Website Schema Search Engine Search Terms SEO Share of Voice Sitelinks User-Generated Content (UGC)Word Count XML Sitemap Yahoo Yandex
Paid Search Advertising
Ad delivery Ad extensions Ad Mediation Ad strength Ad Viewability Automated bid strategy Average Order Value (AOV)Combined audiences Conversion Attribution Conversion Tracking Cost per acquisition (CPA)Floodlight Tag Headline Testing Impressions Keyword Research Location-based Advertising (LBA)Path Length Report Quality score Return on investment (ROI)Sitelinks Smart Bidding Smart Lists User ID View-through conversion window Yield Management
Social Media Sensing
Ad Viewability Community Manager Country Reach Impressions Instant Messaging Location-based Advertising (LBA)Microblogging Net Media Cost Pinterest Playable Ads Reach Reputation Management Rewarded Video Ads Rich Pins Snapchat Social Media Conversions Social Media Listening User-Generated Content (UGC)Video Companion Impressions
Technology and Innovation
Artificial Intelligence Big Data Blockchain Data Warehouse Deep Learning Disruptive Innovation Internet of Things Marketing Technology Stack Predictive Data Analytics Predictive Segmentation Prescriptive Analytics R Analytics Voice Assistants
TV Ad Measurement and Insights
Ad Viewability Ad-supported streaming video on demand (ASVOD)Addressable TV Advanced TV Automatic content recognition (ACR)Broadcast Addressable TV Household Data Location-based Advertising (LBA)Multichannel Video Programming Distributor (MVPD)Nielsen Ratings Over-the-top (OTT)Skinny Bundle Subscription video on demand (SVOD)Targeting Rating Point (TRP)Television advertisement Television Viewer Rating (TVR)TV Network Upfronts Video on demand (VOD)

Visual Data Analysis

Sometimes, data can be overwhelming. There’s too much of it, too little time to comprehend it, or you simply can’t see the data you have available at your disposal. If so, visual data analysis can help you make sense of it all, by combining data analytics and data visualization techniques.

What is Visual Data?

Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.

What is data visualization and why is it important?

Data visualization is the representation of data or information in a graph, chart, or other visual format. It communicates relationships of the data with images. This is important because it allows trends and patterns to be more easily seen. That fact showcases the importance of data visualization.

What components of a visual data analysis solution should have?

Data analytics alone can be powerful. However, it can be difficult to see the big picture or how one set of data relates to another. Visualization tools by themselves may make static mashups and presentations of data easy to grasp. Yet they may lack the ability to drill down, tweak or explore. Visual data analysis brings you the best of both worlds. See the full article for more details.

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Help Topics

Visual Data Analysis

Still have questions on this topic? See some articles below that may help.

How do you conduct market research to reveal business opportunities?

What are the main steps for conducting market research?

How to turn real-time data streams into business value?

Still have questions on this topic?
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