Mode Analytics Visual Explorer

Explore data with pivots, rich charts, and no-SQL calcs on a fast server engine
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Open a result set and start exploring it like a canvas, not a spreadsheet. Drag a metric into the view, drop a category beside it, and instantly see totals, averages, or counts grouped the way you need. Create pivoted summaries by placing one field on rows and another on columns, then refine them with filters and sorting to focus on the segments that matter. For everyday questions—lead volume by source and week, revenue by region and channel, support tickets by priority and assignee—you can build the layout in seconds and iterate fast as new questions come up.

When it’s time to visualize, assemble the view you want without wrestling with settings. Combine bars and lines in a single chart to contrast volume with a rate, and add a second scale to keep both readable. Split the display into small multiples to compare segments side by side, or keep one chart and color by category to spot outliers instantly. Map color, size, and shape to fields to make magnitude and composition obvious at a glance. Use this for product adoption (activation vs. retention by cohort), marketing performance (spend vs. conversions by campaign), or finance tracking (bookings and churn shown together).

Need calculations but don’t want to write SQL? Add running totals, period-over-period deltas, moving averages, percent of total, ranks, bins, and custom groups with a few clicks. Recast dates to weeks or quarters, round or format measures, and create derived fields directly in the explorer. Adjust as you go—each time you tweak a calc, the view updates so you can validate the result immediately. This makes it practical to answer follow-ups on the spot: smooth a noisy trend, compare this quarter to last, or re-bucket revenue bands to match a new plan.

Large datasets won’t slow you down. Queries and aggregations run on a high-performance engine, so you can slice millions of rows and build rich visuals without hitting browser memory limits. Keep your workflow tight: start broad to confirm overall patterns, then narrow the filters, facet by a key dimension, and switch to a combined chart when you need multiple measures in one place. By the time you’re done, you’ll have a clean, trustworthy view you can reuse to guide daily standups, stakeholder reviews, or quick one-off checks before making a call.

Review summary

Features

  • Drag-and-drop grouping and summarization
  • Pivoted summaries with filters and sorting
  • Combined charts with two independent scales
  • Faceting and visual encoding (color, size, shape)
  • Click-to-add calculations (running total, period-over-period, moving average, percent of total, rank, bins, custom groups)
  • Inline transformations (date bucketing, formatting, derived fields)
  • Server-side processing to handle large datasets and avoid browser memory limits

How It’s Used

  • Marketing: compare campaign spend vs. conversion rate by week with dual-scale charts
  • Sales/Finance: pivot bookings by region and segment, add QoQ deltas and percent-of-total
  • Product: facet retention by cohort and color by plan to spot churn risk
  • Operations: track ticket volume and resolution time together, rank teams and bin priorities
  • Growth: analyze funnel steps with running totals and moving averages to smooth volatility

Plans & Pricing

Studio

Custom

SQL, Python, & R
10 MB/query
Private database connections
Up to 5 users

Business

Custom

All features in Mode Studio
250 GB/month, 5 GB/query
Schedules
Permissioning
Email & Slack sharing
API access
Standard support

Enterprise

Custom

All features in Mode Business
Custom Data Compute
Visualize tens of millions of rows
Advanced identity management
Advanced SSO
Admin-level API access
Premium support

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