Tellius
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      • Search
      • Vizpads (Explore)
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    • โœ…Best Practices
      • Search
      • Vizpads (Explore)
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      • Predict
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    • โฌ‡๏ธInitial Setup
      • Tellius architecture
      • System requirements
      • Installation steps for Tellius
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    • Universal Search
    • ๐Ÿ Tellius Home Page
  • Kaiya
    • โ™Ÿ๏ธUnderstanding AI Agents & Agentic Flows
      • Glossary
      • Composer
      • ๐Ÿ—๏ธTriggering an agentic workflow
      • The art of possible
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    • ๐ŸคนKaiya conversational AI
      • โ“FAQs on Kaiya Conversations
      • Triggering Insights with "Why" questions
      • Mastering Kaiya conversational AI
  • ๐Ÿ”Search
    • ๐Ÿ‘‹Get familiar with our Search interface
    • ๐Ÿค”Understanding Tellius Search
    • ๐Ÿ“Search Guide
    • ๐Ÿš€Executing a search query
      • Selecting a Business View
      • Typing a search query
      • Constructing effective search queries
      • Marketshare queries
    • ๐Ÿ”‘Analyzing search results
      • Understanding search results
      • Search Inspector
      • Time taken to execute a query
      • Interacting with the resulting chart
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      • Understanding Tellius charts
      • Variations of a chart type
      • Building charts from Configuration pane
      • List of chart-specific fields
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      • Cumulative line chart
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    • ๐ŸŽ™๏ธVoice-driven search
    • ๐Ÿ”ดLive Query mode
  • ๐Ÿ“ˆVizpads (Explore)
    • ๐Ÿ™‹Meet Vizpads!
    • ๐Ÿ‘‹Get familiar with our Vizpads
    • #๏ธโƒฃMeasures, dimensions, date columns
    • โœจCreating Vizpads
    • ๐ŸŒApplying global filters
      • Filters in multi-BV Vizpads
      • Filters using common columns
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    • ๐Ÿ“…Date picker in filters
      • Customizing the calendar view
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      • Multi-select list
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    • ๐Ÿ‘๏ธActions in View mode
      • Interacting with the charts
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      • ๐Ÿ—จ๏ธViz-level actions
    • ๐Ÿ”งAnomaly management for line charts
      • Instance level
      • Vizpad level
      • Chart level
    • โณTime taken to load a chart
      • Instance level
      • Vizpad level
      • Chart level
    • โ™Ÿ๏ธWorking with sample datasets
    • ๐Ÿ”Swapping Business View of charts
      • Swapping only the current Vizpad
      • Swapping multiple objects
      • Configuring the time of swap
    • ๐Ÿค–Explainable AI charts
  • ๐Ÿ’กInsights (Discover)
    • ๐Ÿ‘‹Get familiar with our Insights
    • โ“Understanding the types of Insights
    • ๐Ÿ•ต๏ธโ€โ™‚๏ธDiscovery Insights
    • โž•How to create new Insights
      • ๐Ÿ”›Creating Discovery Insight
      • ๐Ÿ”‘Creating Key Driver Insights
      • ใ€ฐ๏ธCreating Trend Insights
      • ๐Ÿ‘ฏCreating Comparison Insights
    • ๐ŸงฎThe art of selecting columns for Insights
      • โžก๏ธHow to include/exclude columns?
  • ๐Ÿ”ขData
    • ๐Ÿ‘‹Get familiar with our Data module
    • ๐Ÿฅ‚Connect
    • ๐ŸชนCreate new datasource
      • Connecting to Oracle database
      • Connecting to MySQL database
      • Connecting to MS SQL database
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      • Connecting to Teradata
      • Connecting to Redshift
      • Connecting to Hive
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      • Connecting to Spark SQL
      • Connecting to generic JDBC
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        • Connecting to a PostgreSQL cloud SQL instance
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      • Connecting to Amazon S3
      • Connecting to Google BigQuery
        • Steps to connect to a Google BigQuery database
      • Connecting to Snowflake
        • OAuth support for Snowflake
        • Integrating Snowflake with Azure AD via OAuth
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      • Connecting to Databricks
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      • Loading Excel sheets
      • ๐ŸšงUnderstanding partitioning your data
    • โณTime-to-Live (TTL) and Caching
    • ๐ŸŒทRefreshing a datasource
    • ๐ŸชบManaging your datasets
      • Swapping datasources
    • ๐ŸฃPreparing your datasets
      • ๐ŸคพActions that can be done on a dataset
      • Data Pipeline
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    • ๐ŸฅPreparing your Business Views
      • ๐ŸŒŸCreate a new Business View
      • Creating calculated columns
      • Creating dynamic parameters
      • Scheduling refresh for Business Views
      • Setting up custom calendars
    • Tellius Engine: Comparison of In-Memory vs. Live Mode
  • Feed
    • ๐Ÿ“ฉWhat is a Feed in Tellius?
    • โ—Alerts on the detection of anomalies
    • ๐Ÿ“ฅViewing and deleting metrics
    • ๐Ÿ–ฒ๏ธTrack a new metric
  • Assistant
    • ๐Ÿ’Introducing Tellius Assistant
    • ๐ŸŽคVoice-based Assistant
    • ๐Ÿ’ฌInteracting with Assistant
    • โ†–๏ธSelecting Business View
  • Embedding Tellius
    • What you should know before embedding
    • Embedding URL
      • ๐Ÿ“ŠEmbedding Vizpads
        • Apply and delete filters
        • Vizpad-related actionTypes
        • Edit, save, and share a Vizpad
        • Keep, remove, drill sections
        • Adding a Viz to a Vizpad
        • Row-level policy filters
      • ๐Ÿ’กEmbedding Insights
        • Creating and Viewing Insights
      • ๐Ÿ”ŽEmbedding Search
        • Search query execution
      • Embedding Assistant
      • ๐Ÿช„Embedding Kaiya
      • Embedding Feed
  • API
    • Insights APIs
    • Search APIs
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  • โœจWhat's New
    • Release 5.4
      • Patch 5.4.0.x
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  • How to trigger Discovery Insights?
  • How to view the generated Discovery Insights?

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  1. Insights (Discover)
  2. How to create new Insights

Creating Discovery Insight

How to execute a discovery based Insight

Discovery Insights are typically possible with search queries that are exploratory in nature and intended to unveil underlying patterns, anomalies, or relationships within your data. These types of queries often involve large datasets where the goal is to discover insights that are not immediately obvious. Here are some examples of search queries that could yield Discovery Insights:

  1. Temporal queries: These are time-related queries that seek to analyze data over a period.

    • Example: "Show sales trends over the last year."

  2. Comparative queries: These queries compare different sets of data.

    • Example: "Compare monthly sales of this year to last year."

  3. Relationship queries: Such queries explore the relationship between different variables.

    • Example: "Show advertising spend with sales volume."

  4. Segmentation queries: These focus on specific segments within the data.

    • Example: "Segment sales by product category."

  5. Behavioral queries: Queries that aim to understand user or customer behavior patterns.

    • Example: "Show user engagement trends on our platform."

  6. Operational queries: These might involve day-to-day business metrics.

    • Example: "Show daily transaction volumes."

  7. Financial queries: Queries related to the financial performance of the business.

    • Example: "Show profit margins by quarter."

  8. Anomaly detection queries: Specifically designed to find outliers or unusual patterns.

    • Example: "Show unusual spikes in network traffic."

  9. Predictive Analysis Queries: Though not directly tied to discovery, these queries might lead to further exploration.

    • Example: "Show next quarter's sales based on historical data."

  10. Performance Benchmarks: Assess and compare the efficiency and success of different entities within specific metrics

    • Example: "Identify the top-performing regions in Q2."

How to trigger Discovery Insights?

From Search

  1. Under the tab Search, execute a search query. For example, consider the search query "Show me monthly sales".

  2. Once you get the results, click on the Insights button at the top right corner. A list of four types of Insights will be displayed.

  3. Click on Discoveries - Detect anomalies and correlations option to trigger Discovery Insights.

  1. A top banner with the text "Discovery Creation Running" will be displayed.

From Vizpads

  1. Under the tab Explore, open any required Vizpad in View mode.

  2. On any required chart, click on the datapoint where you want to get more details. A list of four types of Insights will be displayed.

  3. Click on Discoveries - Detect anomalies and correlations option to trigger Discovery Insights.

  1. A top banner with the text "Discovery Creation Running" will be displayed.

How to view the generated Discovery Insights?

  1. If no Insights were discovered, then the following top banner will be displayed.

  1. When Discovery Insights were found, then the following banner will be displayed.

  1. Click on View to view the Insights generated. Alternatively, you can also navigate to the Discover tab and click on the recently generated Insights to view them.

  2. The Discovery Insights will be named after the chart.

  3. An overview of the details discovered will be displayed at the top left corner.

  1. Depending on the nature of the data, the results will be categorized into Anomalies, Trends, and Correlations. Some insights will only have Anomalies and some insights have all three or some insights will have a combination of the three categories.

You might receive a varied combination of Insights. Some may exclusively feature Anomalies, highlighting outliers in your data; others could include all three categoriesโ€”Trends, Anomalies, and Correlations; or you might find reports that present a combination of these categories, offering a tailored analytical perspective on your data.

  1. If your Discovery Insights found anomalies in your data, then they will be displayed as follows. Scroll right to find more such anomalies.

  1. If your Discovery Insights found trends in your data, then they will be displayed as follows. Scroll right to find more such trends.

  1. If your Discovery Insights found correlations in your data, then they will be displayed as follows. Scroll right to find more such trends.

  1. Click on the anomaly, trend or correlation chart to dive deeper for any datapoint. The following options will be displayed.

  1. Click on any of the readymade Insight questions and the corresponding Insight will be generated.

  2. Click on Ask your own question to configure Insights as required. The following Insight configuration window will be displayed.

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Last updated 1 year ago

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๐Ÿ’ก
โž•
๐Ÿ”›
Triggering Discovery Insights
Triggering Discovery Insights from Vizpads
Top banner when no Insights were found
Top banner when Discovery Insights were discovered
Discovery Insights overview
Anomalies found
Trends found
Correlations found
Triggering Insights from Discovery Insight
Configuring Insights