INTELLIGENCE
Guides
What Is Golden Analytics and How to Get Started
Golden Analytics is an AI-native business intelligence platform that converts raw datasets into finished dashboards without requiring SQL knowledge or manual chart configuration. Founded by Francois Ajenstat, Tableau's former Chief Product Officer, the company launched in April 2026 with $7 million in seed funding from NEA and Madrona. Its central feature, the Slider of Autonomy, lets users control how much analysis work the AI handles versus how much they do themselves.
How to Get Started with Alteryx One
Alteryx One is a cloud analytics platform that lets operations teams and analysts build automated data workflows without writing code. Its Copilot feature generates complete, production-ready workflows from a single natural language prompt in under 90 seconds. This guide covers signing up for a workspace, connecting a data source, and running your first Copilot-driven workflow to automate a manual analysis task.
How to Get Started with Sigma Computing
Sigma Computing is a cloud analytics platform that lets analysts and business users explore live warehouse data using a familiar spreadsheet interface without writing SQL or code. Connect Sigma to Snowflake, BigQuery, Redshift, or Databricks in minutes, then build workbooks, pivot tables, and dashboards directly on top of your data warehouse. This guide walks through account setup, warehouse connection, and building your first workbook from scratch.
How to Set Up Cursor AI for Data Analysis
Cursor AI is a code editor with a built-in AI agent that lets analysts write Python and SQL without a programming background. You install it from cursor.com, open a folder containing your CSV files or database credentials, and describe what you need in plain English. The agent writes and executes code on your behalf. In a 2026 survey of 412 data analysts by LetDataSpeak, respondents using Cursor reported spending 35% less time on routine data preparation than those using traditional Python workflows.
How to Get Started with Zoho Analytics
Zoho Analytics is a self-service BI platform that lets ops teams and small business owners connect spreadsheets, CRMs, and databases and build dashboards without writing code. A first working dashboard takes under 30 minutes. After connecting a data source, users define reports through a drag-and-drop interface or by asking Ask Zia, the platform's AI assistant, questions in plain English. The Q1 2026 update added nine new connectors, Drill Actions, and agentic AI capabilities.
How to Set Up Metabase for Self-Service Analytics
Metabase is an open-source business intelligence tool that lets non-technical team members query databases and build dashboards without writing SQL. Installation takes under 30 minutes using Docker or the cloud-hosted option. You connect it to a database, ask questions with a point-and-click builder, and share live dashboards by URL. The free open-source edition supports PostgreSQL, MySQL, BigQuery, Snowflake, and more than a dozen other databases.
How to Analyze Business Data with Rows AI
Rows is a spreadsheet platform with a built-in AI Analyst that lets you clean, analyze, and visualize business data using plain-English prompts. Instead of writing formulas or SQL, you describe what you want and the AI executes it. This guide covers importing data, cleaning messy records, adding calculated columns, running analysis, building charts, and sharing results without writing code.
How to Build Data Pipelines with dlt
dlt (data load tool) is a free, open-source Python library that extracts data from APIs, databases, and cloud storage and loads it into any warehouse in minutes. Install it with pip, write a 10-line script, and your data lands in DuckDB or BigQuery automatically — with schema inference, incremental loading, and no infrastructure to manage. In January 2025 the dlt community created 2,400 pipelines per month; by January 2026 that number had grown to 81,000.
How to Get Started with Hex for Team Analytics
Hex is a cloud-based analytics workspace that combines SQL, Python, and no-code cells in a single collaborative notebook. To get started, create a free account at hex.tech, connect a data source such as Snowflake, BigQuery, or a CSV upload, open a new project, and begin querying. The Notebook Agent, launched in August 2025, generates SQL and charts from plain English prompts and speeds up analysis significantly once semantic context is configured.