ektravel commented on code in PR #16451:
URL: https://github.com/apache/druid/pull/16451#discussion_r1619198834


##########
docs/design/index.md:
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@@ -28,13 +28,20 @@ Druid is commonly used as the database backend for GUIs of 
analytical applicatio
 
 Common application areas for Druid include:
 
-- Clickstream analytics including web and mobile analytics
-- Network telemetry analytics including network performance monitoring
-- Server metrics storage
-- Supply chain analytics including manufacturing metrics
-- Application performance metrics
-- Digital marketing/advertising analytics
-- Business intelligence/OLAP
+|Use Case|Description|
+|-----------------|-------------------|
+|Clickstream analytics |Analyzing user behavior on websites and mobile 
applications to understand navigation patterns, popular content, and user 
engagement|
+|Network telemetry analytics|Monitoring and analyzing network traffic and 
performance metrics to optimize network efficiency, identify bottlenecks, and 
ensure quality of service|
+|Server metrics storage|Collecting and storing performance metrics such as CPU 
usage, memory usage, disk I/O, and network activity to monitor server health 
and optimize resource allocation|
+|Supply chain analytics|Utilizing data from various stages of the supply chain 
to optimize inventory management, streamline logistics, forecast demand, and 
improve overall operational efficiency|
+|Application performance metrics|Monitoring and analyzing the performance of 
software applications to identify areas for improvement, troubleshoot issues, 
and ensure optimal user experience|
+|Digital marketing/advertising analytics|Tracking and analyzing the 
effectiveness of digital marketing campaigns and advertising efforts across 
various channels, such as social media, search engines, and display ads|
+|Business intelligence (BI)/OLAP (Online Analytical Processing)|Utilizing data 
analysis tools and techniques to gather insights from large datasets, generate 
reports, and make data-driven decisions to improve business operations and 
strategy|
+|Customer analytics|Analyzing customer data to understand preferences, 
behavior, and purchasing patterns, enabling personalized marketing strategies, 
improved customer service, and customer retention efforts|

Review Comment:
   ```suggestion
   |Customer analytics|Analyze customer data to understand preferences, 
behavior, and purchasing patterns, enabling personalized marketing strategies, 
improved customer service, and customer retention efforts|
   ```



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