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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)

Data Preparation

Data preparation is the process of cleaning and transforming raw data prior to processing and analysis. It is an important step prior to processing and often involves reformatting data, making corrections to data and the combining of data sets to enrich data.

What is data preparation process?

Data Preparation is the process of collecting, cleaning, and consolidating data into one file or data table, primarily for use in analysis.

What is data preparation in data science?

It is the process of taking raw data and manipulating it in a way where it can be used by certain machine learning algorithms. The name of this process is called normalization. See the full article for more details.

Why is data preparation important?

It is one of the most time-consuming and crucial processes in data mining. In simple words, data preparation is the method of collecting, cleaning, processing and consolidating the data for use in analysis. It enriches the data, transforms it and improves the accuracy of the outcome.

What are data visualization tools?

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.

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Help Topics

Data Preparation

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How do you conduct market research to reveal business opportunities?

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