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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
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Display & Native Advertising
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Email Marketing
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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
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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)

Business Intelligence Architecture

Business intelligence architecture refers to the infrastructure that organizations use to define their data collection streams, information administration, and all the technology that supports their business intelligence.

Creating a sustainable architecture depends on understanding the different components that are involved with developing successful business intelligence tools. The process is broadly divided into three areas: data collection, information management, and business intelligence.

What is Business Intelligence in DBMS?

The term Business Intelligence (BI) refers to technologies, applications and practices for the collection, integration, analysis, and presentation of business information. The purpose of Business Intelligence is to support better business decision making.

What is the role of data warehouse in business intelligence?

Data warehouse acts as a middleware in Business application architecture, which are essential as direct accessing to operational and transactional data for decision support applications is infeasible. A Data Warehouse (DW) is simply a consolidation of data from a variety of sources that is designed to support.

What are examples of business intelligence tools?

Examples of business intelligence tools include data visualization, data warehousing, dashboards, and reporting.

What are business intelligence techniques?

Business intelligence techniques can help an organization obtain and process relevant accounting data quickly and cost efficiently. Such techniques include, query and reporting tools, online analytical processing (OLAP), statistical analysis, text mining, data mining, and visualization.

What do business intelligence consultants do?

Business intelligence consultants undertake different tasks according to the company’s scale and requirement. See the full article for more details.

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Help Topics

Business Intelligence Architecture

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How do you conduct market research to reveal business opportunities?

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