Building an Analytics Dashboard in Next.js

An analytics dashboard is one of the most-requested features in any SaaS. The challenge isn't drawing charts — it's making the data fast and meaningful.

Model events for aggregation

Store events in a way that's cheap to aggregate: one row per event with the dimensions you'll group by (date, type, user, product). Add indexes on the columns you filter and sort by most — usually a timestamp and one or two dimensions.

Aggregate on the server

Do the grouping and math in the database, not in the browser. Return small, pre-aggregated results to the client — a chart needs a few dozen points, not thousands of raw rows. Server components make this natural: query, shape, and pass the result straight into your chart.

The pieces of a good dashboard

• KPI tiles for the headline numbers, with change vs the previous period.
• Time-series charts for trends over a selectable date range.
• Breakdowns (by source, product, country) as bars or tables.
• A date-range picker that drives every query on the page.

Keep it fast

Cache expensive aggregations and revalidate them on an interval rather than recomputing on every request. For very high volume, precompute daily rollups so the dashboard reads summaries instead of scanning raw events.

KitCraft's admin and AI templates include analytics dashboards with KPI tiles, time-series charts, and date ranges — built on server-side aggregation so they stay fast as your data grows.