New analytics tools

Here are some new analytics tools that have gained popularity in recent times:

  1. Google Analytics 4 (GA4): A new version of Google Analytics that provides more advanced features, such as machine learning-based insights and improved data modeling.
  2. Mixpanel: A product analytics tool that helps businesses understand user behavior and retention, with features like funnel analysis and cohort analysis.
  3. Amplitude: A product analytics platform that provides insights into user behavior, with features like event tracking and retention analysis.
  4. Heap: A product analytics tool that provides insights into user behavior, with features like event tracking and retention analysis.
  5. Hotjar: A heat mapping and session recording tool that helps businesses understand user behavior and optimize their websites.
  6. Crazy Egg: A heat mapping and A/B testing tool that helps businesses understand user behavior and optimize their websites.
  7. VWO: A conversion optimization platform that provides A/B testing, heat mapping, and user feedback tools.
  8. Optimizely: A digital experience optimization platform that provides A/B testing, personalization, and recommendation engines.
  9. Adobe Analytics: A web analytics tool that provides insights into website traffic, user behavior, and conversion rates.
  10. SAS Analytics: A business intelligence platform that provides advanced analytics and data visualization tools.
  11. Tableau: A data visualization platform that provides interactive dashboards and reports.
  12. Power BI: A business analytics service by Microsoft that provides interactive dashboards and reports.
  13. Databricks: A unified analytics platform that provides data engineering, data science, and data analytics tools.
  14. Looker: A cloud-based business intelligence platform that provides data modeling, data visualization, and reporting tools.
  15. Mode Analytics: A data science platform that provides data analysis, visualization, and collaboration tools.
  16. DataRobot: An automated machine learning platform that provides data preparation, modeling, and deployment tools.
  17. H2O.ai: An AI-powered data science platform that provides machine learning, deep learning, and natural language processing tools.
  18. RapidMiner: A data science platform that provides data preparation, machine learning, and predictive analytics tools.
  19. Dataiku: A collaborative data science platform that provides data preparation, machine learning, and visualization tools.
  20. Knime: An open-source data integration platform that provides data preparation, machine learning, and predictive analytics tools.

These are just a few examples of the many new analytics tools available. The choice of tool often depends on the specific needs of the organization, the type of data being analyzed, and the level of expertise of the analytics team.