Tableau Augmented Analytics

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TABLEAU AUGMENTED ANALYTICS

“Augmented analytics” refers to the integration of artificial intelligence (AI) and machine learning (ML) techniques into data analytics and business intelligence platforms to enhance data exploration, analysis, and insight generation. Augmented analytics aims to assist users in making more informed decisions by automating various aspects of the analytics process and uncovering hidden insights in data.

Tableau, a popular data visualization and business intelligence tool, has incorporated augmented analytics capabilities to empower users with advanced features. Here are some ways in which Tableau has been leveraging augmented analytics:

  1. Innovative Insights: Tableau provides a feature called “Explain Data,” which uses machine learning algorithms to analyze data and explain unexpected data points or trends automatically. It helps users understand the factors contributing to a particular data point without requiring deep technical knowledge.
  2. Natural Language Processing (NLP): NLP capabilities in Tableau allow users to ask questions about their data using natural language queries. The system interprets the question and generates visualizations or reports that answer the query.
  3. Recommendations: Tableau can recommend the best way to visualize data based on the type of data and the user’s analysis goals. This helps users create compelling visualizations without needing to be experts in data visualization principles.
  4. Data Preparation: Augmented analytics can also assist with data preparation by suggesting data cleaning, transformation, and enrichment steps. This helps streamline the process of getting data ready for analysis.
  5. Forecasting: Augmented analytics can automatically identify and generate forecasts for trends in the data, helping users make predictions about future outcomes.
  6. Anomaly Detection: Tableau can leverage machine learning to detect anomalies in data, highlighting data points or patterns that deviate significantly from the norm.
  7. Automated Insights: Integrating AI and ML allows Tableau to automatically surface meaningful insights from data, reducing the time and effort required for manual analysis.

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You can find more information about Tableau in this Tableau Docs Link

 

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