1. Web Analytics:

• Focuses on website traffic, user behavior, and website performance.
• Tracks metrics like page views, bounce rate, conversion rate, and user demographics.
• Helps optimize website content, design, and marketing campaigns.

2. Google Analytics:

• A specific web analytics platform offered by Google.
• Provides a variety of features and tools for website analysis.
• Popular choice for businesses of all sizes.

3. Software Analytics:

• Focuses on measuring and analyzing software usage and performance.
• Includes metrics like user engagement, feature adoption, and error rates.
• Helps identify software bugs, improve user experience, and prioritize development efforts.

4. Crisis Analytics:

• Collects and analyzes data during crisis situations.
• Aims to understand public sentiment, identify emerging trends, and inform crisis response.
• Utilizes social media data, news articles, and other online sources.

5. Knowledge Analytics:

• Focuses on extracting insights and knowledge from unstructured data sources.
• Utilizes techniques like natural language processing and machine learning.
• Helps organizations gain a deeper understanding of their customers, employees, and operations.

6. Marketing Analytics:

• Measures the effectiveness of marketing campaigns and activities.
• Tracks metrics like return on investment (ROI), website traffic, and lead generation.
• Helps optimize marketing strategies and allocate resources effectively.

7. Customer Analytics:

• Focuses on understanding customer behavior and preferences.
• Uses data from various sources, including website interactions, purchase history, and customer service interactions.
• Helps personalize customer experiences, improve loyalty, and drive revenue.

8. Service Analytics:

• Evaluates the performance of customer service operations.
• Tracks metrics like average resolution time, customer satisfaction, and agent productivity.
• Helps identify areas for improvement and optimize service delivery.

9. Human Resource Analytics:

• Analyzes data related to workforce management and talent acquisition.
• Tracks metrics like employee engagement, turnover rate, and training effectiveness.
• Helps identify top performers, improve employee satisfaction, and optimize workforce planning.

10. Talent Analytics:

• Focuses on identifying and attracting top talent.
• Analyzes data from job boards, social media, and applicant tracking systems.
• Helps predict candidate success and build a strong talent pipeline.

11. Process Analytics:

• Analyzes the efficiency and effectiveness of business processes.
• Tracks metrics like cycle time, error rates, and process costs.
• Helps identify bottlenecks and optimize process performance.

12. Supply Chain Analytics:

• Analyzes data related to the flow of goods and materials within a supply chain.
• Tracks metrics like inventory levels, transportation costs, and supplier performance.
• Helps optimize inventory management, reduce costs, and improve supply chain visibility.

13. Risk Analytics:

• Identifies, assesses, and mitigates potential risks.
• Analyzes data from various sources, including financial statements, market research, and competitor analysis.
• Helps organizations make informed decisions and manage risk effectively.

14. Financial Analytics:

• Analyzes financial data to assess the performance of a business.
• Tracks metrics like revenue, profitability, and cash flow.
• Helps organizations make strategic financial decisions and manage their resources effectively.

Also, from another source:

Web Analytics:

• Focuses on analyzing web data to understand and optimize web usage. It involves studying user behavior, traffic sources, and conversion rates on websites.

Google Analytics:

• A specific tool for web analytics provided by Google. It helps website owners track and analyze website traffic, user behavior, and other related metrics.

Software Analytics:

• Involves the analysis of software development and usage data. It can include metrics related to code quality, performance, user engagement, and software adoption.

Crisis Analytics:

• Refers to the analysis of data during crisis situations. It can involve monitoring and analyzing data to make informed decisions during emergencies or crises.

Knowledge Analytics:

• Analyzing data related to knowledge management within an organization. This can include tracking knowledge creation, sharing, and utilization.

Marketing Analytics:

• Focuses on analyzing marketing-related data to evaluate the performance of marketing campaigns, customer acquisition, and overall marketing strategies.

Customer Analytics:

• Involves analyzing customer data to gain insights into customer behavior, preferences, and needs. It helps in improving customer satisfaction and retention.

Service Analytics:

• Analyzing data related to service delivery and performance. It can include metrics like service response times, customer satisfaction, and service quality.

Human Resource Analytics:

• Involves analyzing HR data to make informed decisions about workforce management, employee performance, and overall HR strategy.

Talent Analytics:

• Similar to HR analytics, talent analytics focuses specifically on analyzing data related to talent acquisition, development, and retention.

Process Analytics:

• Analyzing data related to business processes to identify areas for improvement, efficiency, and optimization.

Supply Chain Analytics:

• Focuses on analyzing data within the supply chain to optimize inventory management, reduce costs, and improve overall supply chain efficiency.

Risk Analytics:

• Involves the analysis of data to identify and assess potential risks to an organization. It helps in developing strategies to mitigate and manage risks.

Financial Analytics:

• Analyzing financial data to gain insights into financial performance, budgeting, forecasting, and investment decisions.