Tellius
  • ๐ŸšฉGetting Started
    • ๐Ÿ‘‹Say Hello to Tellius
      • Glossary
      • Tellius 101
      • Navigating around Tellius
      • Guided tours for quick onboarding
    • โšกQuick Start Guides
      • Search
      • Vizpads (Explore)
      • Insights (Discover)
    • โœ…Best Practices
      • Search
      • Vizpads (Explore)
      • Insights (Discover)
      • Predict
      • Data
    • โฌ‡๏ธInitial Setup
      • Tellius architecture
      • System requirements
      • Installation steps for Tellius
      • Customizing Tellius
    • 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
      • Setting up LLM for Kaiya
    • 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
    • ๐Ÿ“ŠKnow your charts in Tellius
      • Understanding Tellius charts
      • Variations of a chart type
      • Building charts from Configuration pane
      • List of chart-specific fields
      • Adding columns to fields in Configuration pane
      • Absolute and percentage change aggregations
      • Requirements of charts
      • Switching to another chart
      • Formatting charts
      • Advanced Analytics
      • Cumulative line chart
    • ๐Ÿง‘โ€๐ŸซHelp Tellius learn
    • ๐Ÿ•ต๏ธโ€โ™‚๏ธSearch history
    • 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
    • ๐Ÿ“ŒApplying local filters
    • ๐Ÿ“…Date picker in filters
      • Customizing the calendar view
    • โœ…Control filters
      • Multi-select list
      • Single-select list
      • Range slider
      • Dropdown list
    • ๐Ÿ‘๏ธActions in View mode
      • Interacting with the charts
    • ๐Ÿ“Actions in Edit mode
      • 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
      • Connecting to Postgres SQL database
      • Connecting to Teradata
      • Connecting to Redshift
      • Connecting to Hive
      • Connecting to Azure Blob Storage
      • Connecting to Spark SQL
      • Connecting to generic JDBC
      • Connecting to Salesforce
      • Connecting to Google cloud SQL
        • Connecting to a PostgreSQL cloud SQL instance
        • Connecting to an MSSQL cloud SQL instance
        • Connecting to a MySQL Cloud SQL Instance
      • 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
        • Integrating Snowflake with Okta via OAuth
        • Azure PrivateLink
        • AWS PrivateLink
        • Best practices
      • Connecting to Databricks
      • Connecting to Databricks Delta Lake
      • Connecting to an AlloyDB Cluster
      • Connecting to HDFS
      • Connecting to Looker SQL Interface
      • 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
      • SQL code snippets
      • โœ๏ธWriteback window
      • ๐ŸงฉEditing Prepare โ†’ Data
      • Handling null or mismatched values
      • Metadata view
      • List of icons and their actions
        • Functions
        • SQL Transform
        • Python Transform
        • Standard Aggregation
        • Creating Hierarchies
      • Dataset Scripting
      • Fusioning your datasets
      • Scheduling refresh for datasets
    • 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
    • Authentication API (Login API)
  • โœจWhat's New
    • Release 5.4
      • Patch 5.4.0.x
    • Release 5.3
      • Patch 5.3.1
      • Patch 5.3.2
      • Patch 5.3.3
    • Release 5.2
      • Patch 5.2.1
      • Patch 5.2.2
    • Release 5.1
      • Patch 5.1.1
      • Patch 5.1.2
      • Patch 5.1.3
    • Release 5.0
      • Patch 5.0.1
      • Patch 5.0.2
      • Patch 5.0.3
      • Patch 5.0.4
      • Patch 5.0.5
    • Release 4.3 (Fall 2023)
      • Patch 4.3.1
      • Patch 4.3.2
      • Patch 4.3.3
      • Patch 4.3.4
    • Release 4.2
      • Patch 4.2.1
      • Patch 4.2.2
      • Patch 4.2.3
      • Patch 4.2.4
      • Patch 4.2.5
      • Patch 4.2.6
      • Patch 4.2.7
    • Release 4.1
      • Patch 4.1.1
      • Patch 4.1.2
      • Patch 4.1.3
      • Patch 4.1.4
      • Patch 4.1.5
    • Release 4.0
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  1. Getting Started
  2. Say Hello to Tellius

Glossary

Get to know our key terms for an easy ride

To help you navigate the platform and understand its features better, we have compiled a glossary of all the Tellius-specific terms and their definitions.

Search Query: A question or request relating to the data of interest.

Search Guide: A user guide containing tips on how to ask different types of questions, which also includes a set of pre-defined and customizable search examples for the selected Business View.

Search Inspector: The configuration of the output that is shown to a user after executing a search, and can be hidden on the screen or reopened at any time.

Vizpad: An interactive dashboard with multiple chart types and various filter options. It also integrates with the rest of the platform - with unlimited drilling through dimensions, anomaly detection, one-click insights, and predictive modeling. All Vizpads can be accessed under "Explore".

Viz: An individual chart within a Vizpad.

Insight: Insights refer to the outcomes derived from machine learning or statistical inference techniques to extract a better understanding of your data.

Key Driver: These are the critical factors significantly impacting a business or event. For example, identifying the key characteristics of returning customers can help businesses to understand their customer base.

Trend: Trend analysis helps you identify the factors driving changes in your business KPIs over time. For example, it can help you investigate the reasons behind a sudden surge in revenue in March 2021 as compared to February 2021.

Comparison: Understand the differences between two or more groups or segments based on your business KPIs. For example, you can compare the revenue generated by millennials for cell phones versus headphones to identify which product category is more profitable for this group.

Anomalies/Correlations: While exploring search or visualization, anomalies help identify key relationships or significant changes in dimensions.

Regression: A type of supervised machine learning that involves predicting a continuous variable based on other input variables. For example, predicting the price of a house based on its size, location, and other relevant factors.

Classification: A type of supervised machine learning that involves predicting a discrete (binary or multi-class) label or category for a given input. For example, predicting customer churn.

Time Series Regression: a statistical method for predicting future values of a time series based on its historical trend. For example, predicting the temperature for the next hour based on its past values.

Time Series Regression differs from Regression in that it only uses the historical trend of the time series itself for prediction and is only applicable to time-based data.

Clustering: An unsupervised machine learning technique that involves identifying natural groupings or patterns in data.

Target (dependent variable): The output variable that you are trying to predict. It is stored as an individual field in your data. For example, in a model that predicts house prices, the target variable would be the price.

Feature (independent variable): An input variable representing a property or characteristic to help predict the target variable. It is stored as an individual field in your data. For example, in a model that predicts house prices, the features could include the size, location, number of bedrooms etc. Machine learning models often have many features as inputs.

Connector: A source system or application from which data can be imported into Tellius.

Datasource: A unique combination of a Connector and the credentials used to authorize the connection to that source. For example, you may have different data warehouses or schemas that different users have access to, with the same Connector.

Datasets: Single table-like structures of data with rows and columns.

Business View: A Business View is a logical layer that defines how datasets relate to one another (similar to a data model). It helps users create and build logical data models to start their analysis, enabling them to identify their logical schema and connect their datasets accurately from various sources together into one view of data that can be easily accessed and analyzed.

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