{"id":492,"date":"2026-03-14T16:39:43","date_gmt":"2026-03-14T16:39:43","guid":{"rendered":"https:\/\/usepulseai.com\/blog\/2026\/03\/14\/how-to-build-a-dashboard-in-mode-analytics-step-by-step-guide-for-2026\/"},"modified":"2026-03-14T16:41:52","modified_gmt":"2026-03-14T16:41:52","slug":"how-to-build-a-dashboard-in-mode-analytics-step-by-step-guide-for-2026","status":"publish","type":"post","link":"https:\/\/usepulseai.com\/blog\/2026\/03\/14\/how-to-build-a-dashboard-in-mode-analytics-step-by-step-guide-for-2026\/","title":{"rendered":"How to Build a Dashboard in Mode Analytics: Step-by-Step Guide for 2026"},"content":{"rendered":"

What You’ll Learn<\/h2>\n

This guide walks you through building SQL-based reports and dashboards in Mode Analytics. You’ll connect databases, write queries, create visualizations, and collaborate with your team on data analysis.<\/p>\n

Time required:<\/strong> 45-60 minutes
\nSkill level:<\/strong> Intermediate to Advanced (SQL knowledge required)
\nWhat you need:<\/strong> Mode account (free trial or paid), access to a database (PostgreSQL, Redshift, Snowflake, BigQuery, etc.)<\/p>\n

\n

Step 1: Set Up Your Mode Account<\/h2>\n

Mode is a cloud-based analytics platform designed for data analysts and SQL users.<\/p>\n

Getting started:<\/strong>
\n1. Sign up at mode.com<\/a>
\n2. Choose plan tier:
\n – Mode Studio:<\/strong> Free (limited features, great for learning)
\n – Mode Business:<\/strong> $50-100\/user\/month
\n – Mode Enterprise:<\/strong> Custom pricing
\n3. Log in to Mode workspace<\/p>\n

You’ll land on the Home<\/strong> screen showing recent reports.<\/p>\n

\n

Step 2: Connect Your Database<\/h2>\n

Mode works by running SQL queries directly against your database.<\/p>\n

Add a data source:<\/h3>\n
    \n
  1. Click your workspace name<\/strong> (top-left) \u2192 Settings<\/strong><\/li>\n
  2. Go to Data Sources<\/strong><\/li>\n
  3. Click + New Connection<\/strong><\/li>\n
  4. Select database type:<\/strong><\/li>\n
  5. PostgreSQL, MySQL, Redshift, Snowflake, BigQuery, Databricks, etc.<\/li>\n
  6. Enter connection details:<\/strong><\/li>\n
  7. Host\/endpoint<\/li>\n
  8. Port<\/li>\n
  9. Database name<\/li>\n
  10. Username and password (read-only credentials recommended)<\/li>\n
  11. Test connection<\/strong> \u2192 Save<\/strong><\/li>\n<\/ol>\n

    Security:<\/strong> Mode connects read-only by default. Never use admin credentials.<\/p>\n

    \n

    Step 3: Create Your First Report<\/h2>\n

    In Mode, a report<\/strong> is a collection of SQL queries and visualizations.<\/p>\n

    Start a new report:<\/h3>\n
      \n
    1. Click + New<\/strong> (top-right) \u2192 Report<\/strong><\/li>\n
    2. You’re now in the Report Editor<\/strong> \u2014 Mode’s primary workspace<\/li>\n<\/ol>\n

      Report Editor sections:<\/strong>
      \n– Notebook (left):<\/strong> Write SQL queries and Python\/R code
      \n– Schema Browser (right):<\/strong> Browse database tables and columns
      \n– Visualizations (bottom):<\/strong> Create charts from query results<\/p>\n

      \n

      Step 4: Write Your First SQL Query<\/h2>\n

      Mode is SQL-first \u2014 you must write queries to retrieve data.<\/p>\n

      Basic query:<\/h3>\n
        \n
      1. In the Query Editor<\/strong> (notebook section), type:<\/li>\n<\/ol>\n
        SELECT \n  product_name,\n  SUM(revenue) as total_revenue\nFROM sales\nWHERE order_date >= '2026-01-01'\nGROUP BY product_name\nORDER BY total_revenue DESC\nLIMIT 10;\n<\/code><\/pre>\n
          \n
        1. Click Run<\/strong> (or Cmd\/Ctrl + Enter)<\/li>\n
        2. Results appear in the Results<\/strong> pane below<\/li>\n<\/ol>\n
          Query tips:<\/strong>
          \n– Use the Schema Browser<\/strong> to explore tables and columns
          \n– Click a table \u2192 Mode shows column names and types
          \n– Drag column names into your query to auto-insert<\/p>\n
          \n
          Step 5: Create a Visualization from Query Results<\/h2>\n
          Once you have query results, you can visualize them.<\/p>\n
          Create a bar chart:<\/h3>\n
            \n
          1. After running your query, click + Chart<\/strong> (bottom of results)<\/li>\n
          2. Mode opens the Chart Builder<\/strong><\/li>\n
          3. Choose chart type:<\/strong> Bar chart<\/li>\n
          4. Configure:<\/strong><\/li>\n
          5. X-axis:<\/strong> Select your dimension column (product_name)<\/li>\n
          6. Y-axis:<\/strong> Select your metric column (total_revenue)<\/li>\n
          7. Chart renders instantly<\/li>\n<\/ol>\n
            Chart types available:<\/strong>
            \n– Bar, column, line, area, scatter, pie, table, pivot table, funnel, cohort, and more<\/p>\n
            Customization:<\/strong>
            \n– Chart settings:<\/strong> Click Settings<\/strong> (gear icon) to adjust colors, labels, axes
            \n– Filters:<\/strong> Add filters to let viewers explore data
            \n– Formatting:<\/strong> Number formats, date formats, axis titles<\/p>\n
            \n
            Step 6: Add Multiple Queries to Your Report<\/h2>\n
            Mode reports can contain multiple queries \u2014 useful for different views of your data.<\/p>\n
            Add a second query:<\/h3>\n
              \n
            1. Click + Query<\/strong> in the notebook<\/li>\n
            2. Write a new SQL query (e.g., revenue trend over time):<\/li>\n<\/ol>\n
              SELECT \n  DATE_TRUNC('month', order_date) as month,\n  SUM(revenue) as monthly_revenue\nFROM sales\nWHERE order_date >= '2025-01-01'\nGROUP BY month\nORDER BY month;\n<\/code><\/pre>\n
                \n
              1. Run<\/strong> the query<\/li>\n
              2. + Chart<\/strong> \u2192 choose Line chart<\/strong> for the trend<\/li>\n<\/ol>\n
                Each query in your report can have multiple visualizations.<\/strong><\/p>\n
                \n
                Step 7: Use Parameters for Interactive Reports<\/h2>\n
                Parameters let viewers change query values without editing SQL.<\/p>\n
                Add a parameter:<\/h3>\n
                  \n
                1. In your SQL query, replace a hardcoded value with {{ parameter_name }}<\/code>:<\/li>\n<\/ol>\n
                  SELECT \n  product_name,\n  SUM(revenue) as total_revenue\nFROM sales\nWHERE order_date >= '{{ start_date }}'\nGROUP BY product_name\nORDER BY total_revenue DESC;\n<\/code><\/pre>\n
                    \n
                  1. Click Run<\/strong><\/li>\n
                  2. Mode prompts you to enter a value for start_date<\/code><\/li>\n
                  3. Enter a date (e.g., 2026-01-01<\/code>) \u2192 Run<\/strong><\/li>\n<\/ol>\n
                    Parameter types:<\/strong>
                    \n– Text:<\/strong> Free-form input
                    \n– Dropdown:<\/strong> Predefined list of values
                    \n– Date:<\/strong> Date picker<\/p>\n
                    Viewers can now adjust parameters to explore different date ranges, products, regions, etc.<\/strong><\/p>\n
                    \n
                    Step 8: Add Python\/R Analysis (Advanced)<\/h2>\n
                    Mode supports Python and R for advanced analytics alongside SQL.<\/p>\n
                    Add a Python notebook:<\/h3>\n
                      \n
                    1. Click + Python Notebook<\/strong> in your report<\/li>\n
                    2. Access SQL query results as DataFrames:<\/li>\n<\/ol>\n
                      # datasets[0] = results from first query\ndf = datasets[0]\n\n# Perform analysis\nimport pandas as pd\nmonthly_avg = df.groupby('month')['revenue'].mean()\nprint(monthly_avg)\n<\/code><\/pre>\n
                        \n
                      1. Run<\/strong> the Python code<\/li>\n
                      2. Create visualizations using matplotlib or plotly<\/li>\n<\/ol>\n
                        Use cases:<\/strong>
                        \n– Statistical analysis (regression, forecasting)
                        \n– Machine learning models
                        \n– Custom visualizations
                        \n– Data transformations too complex for SQL<\/p>\n
                        \n
                        Step 9: Build a Dashboard<\/h2>\n
                        Mode dashboards<\/strong> display multiple visualizations in a clean layout.<\/p>\n
                        Create a dashboard view:<\/h3>\n
                          \n
                        1. Click View Report<\/strong> (top-right) to exit edit mode<\/li>\n
                        2. Click Edit<\/strong> \u2192 Add to Dashboard<\/strong> (for each chart you want)<\/li>\n
                        3. Drag charts to position them<\/li>\n
                        4. Resize charts by dragging corners<\/li>\n<\/ol>\n
                          Dashboard features:<\/strong>
                          \n– Filters:<\/strong> Add report-level filters (parameters apply across all queries)
                          \n– Text blocks:<\/strong> Add titles, descriptions, insights
                          \n– Layout:<\/strong> Customize spacing and arrangement<\/p>\n
                          \n
                          Step 10: Share Your Report<\/h2>\n
                          Share with team members:<\/h3>\n
                            \n
                          1. Click Share<\/strong> (top-right)<\/li>\n
                          2. Add people:<\/strong> Enter emails or select user groups<\/li>\n
                          3. Set permissions:<\/li>\n
                          4. Viewer:<\/strong> Can see the report and run queries<\/li>\n
                          5. Editor:<\/strong> Can modify SQL and visualizations<\/li>\n
                          6. Admin:<\/strong> Full control<\/li>\n
                          7. Click Share<\/strong><\/li>\n<\/ol>\n
                            Schedule email delivery:<\/h3>\n
                              \n
                            1. Click Report Actions<\/strong> (three dots) \u2192 Schedule Report<\/strong><\/li>\n
                            2. Choose frequency: Daily, weekly, monthly<\/li>\n
                            3. Select recipients<\/li>\n
                            4. Choose format: PDF, CSV, or link<\/li>\n
                            5. Save schedule<\/li>\n<\/ol>\n
                              Mode sends report snapshots automatically.<\/strong><\/p>\n
                              Embed in website or app:<\/h3>\n
                                \n
                              1. Report Actions<\/strong> \u2192 Embed<\/strong><\/li>\n
                              2. Copy the embed code (iframe)<\/li>\n
                              3. Paste into your website HTML<\/li>\n<\/ol>\n
                                Note:<\/strong> Embedding requires Mode Business or Enterprise plan.<\/p>\n
                                \n
                                Step 11: Collaborate on Reports<\/h2>\n
                                Mode is built for analyst collaboration.<\/p>\n
                                Comment on reports:<\/h3>\n
                                  \n
                                1. Click Comments<\/strong> (speech bubble icon)<\/li>\n
                                2. + New Comment<\/strong><\/li>\n
                                3. @mention teammates to notify them<\/li>\n
                                4. Comments appear in the sidebar<\/li>\n<\/ol>\n
                                  Use cases:<\/strong>
                                  \n– Ask questions about data
                                  \n– Request changes to queries
                                  \n– Discuss insights<\/p>\n
                                  Version control:<\/h3>\n