https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/Recent content in Data Intelligence onHugo -- gohugo.ioTue, 06 Oct 2020 08:48:23 +0000https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/di-introduction/Tue, 03 Jan 2023 21:01:49 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/di-introduction/Gathering insights from large datasets to drive key business decisions could be a very challenging task. Design Data Intelligence applications in Gathr to simplify data exploration and enhance decision-making through a user-friendly interface. Ask questions in plain English about your data and receive precise answers, making data exploration intuitive and accessible. Type of Insights you get in Data Intelligence Descriptive: Textual answers for your business queries, making it easier to comprehend the data insights.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/di-data-sources/Tue, 03 Jan 2023 21:01:49 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/di-data-sources/Configure a Data Intelligence application in Gathr to simplify data exploration and enhance decision-making through a user-friendly interface. On the Data Intelligence listing page, view existing applications from the My Apps tab. You can try sample apps or get a visual tour by clicking the Sample Apps tab. Create an Application # Click Create new app button to create application. Application Name # Provide a unique name to identify your Data Intelligence application.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/di-sources/Tue, 03 Jan 2023 21:01:49 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/di-sources/Choose a data source from a wide range of supported sources for creating Data Intelligence create application. All Connectors # Select warehouse from a-wide-range of available sources that come under the below listed categories: Big Data & NoSQL ElasticSearch Amazon Athena Azure Data Catalog Azure Table Cassandra Cloudant CockroachDB Couchbase CouchDB Google Data Catalog Google Spanner GraphQL Source HarperDB Source HBase Source IBM Cloud Data Engine MarkLogic Source Phoenix Source Power BI XMLA Presto Redis Doris Marketing Trino Starburst HubSpot Google Analytics BigQuery (coming soon) Act-On Adobe Analytics Adobe Commerce Microsoft Advertising eBay Analytics Facebook Ads Facebook Google Ad Manager Google Ads Google Campaign Manager Instagram LinkedIn Ads LinkedIn MailChimp Marketo Monday.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/di-data-descriptions/Tue, 03 Jan 2023 21:01:49 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/di-data-descriptions/Generate descriptions for the database tables and columns. This helps improve query generation and data understanding by providing meaningful descriptions for tables and columns. You can either manually enter details or use the Auto-Generate Description for All Tables option for automatic generation. Auto-Generate Description for All Tables # Automatically generates descriptions for all tables and their columns. Table Description # For each table you can enter a description and instructions for querying the table.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/di-knowledge-sources/Tue, 03 Jan 2023 21:01:49 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/di-knowledge-sources/Configure Knowledge Sources to enhance query generation and data reasoning capabilities. These tools help refine how queries are interpreted and processed, ensuring accurate and context-aware responses. Instructions # The Instructions enhances data reasoning by integrating business rules and domain knowledge into the query process. It helps refine query interpretation, apply predefined logic, and ensure responses align with business-specific requirements. After selecting the Instructions, proceed to the next section to configure its settings.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/di-instructions/Tue, 03 Jan 2023 21:01:49 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/di-instructions/Enhance data reasoning by defining business rules that guide AI in interpreting and analyzing queries based on business-specific logic and domain knowledge. You can specify these rules in natural language. An example business rule: Consider a business rule for identifying a significant drop in sales. The definition of “significant” may vary across organizations. Here, the Knowledge Base tool can be equipped with following business rule: A sales drop is considered significant if it meets any of the following conditions:https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/di-hints/Tue, 03 Jan 2023 21:01:49 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/di-hints/Add example questions as hints to help the application understand user intent and generate accurate responses. Add Hints for Query Processing # Hints serve as a reference for the LLM model to construct relevant SQL queries during conversations. Special Cases # Add Natural Language Input # Enter sample questions in natural language that users may ask while interacting with the application. These inputs help the system understand typical questions and improve query accuracy.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/di-preferences/Tue, 03 Jan 2023 21:01:49 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/di-preferences/Preferences help optimize user experience and ensure responses are formatted correctly for analysis. Query Execution & Display Settings # Fine-tune how queries are processed, executed, and displayed in the application. Show Generated Query # Enable this option to display the SQL query generated for retrieving responses during conversations. This helps users understand how data is being queried. Output Formats # Choose how responses should be displayed: Grids – Tabular format for structured data representation.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/di-qna/Tue, 03 Jan 2023 21:01:49 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/di-qna/Interact with the Data Intelligence Application, ensuring an intuitive and efficient experience when querying and analyzing your data. Start engaging with your Data Intelligence Application by asking questions about your data. See how to ask questions, interact with responses, and manage conversations effectively in this topic. Ask Questions # You can interact with the application in the following ways: Type Queries Manually # Type your question in the input box.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/di-application-details/Tue, 03 Jan 2023 21:01:49 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/data-intelligence/di-application-details/Access the Details tab by selecting View Application from the applications listing page. It provides an overview of your Data Intelligence Application, displaying source configurations and some key attributes. Application Information # Created By: Name of the user who created the application. Last Modified: Shows the date and timestamp of the most recent modification. Source Details Used in Application # Displays the configured data sources, AI models, and vector storage used within the application: