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Analytics core · Explorer

Pivot any metric by any dimension

Explorer is a data cube over your entire store dataset. Pick revenue, margin, orders, units, discount or returns — slice them by product, collection, country, channel or month — compare against last year, and export the answer. No SQL. No spreadsheet gymnastics.

app.nuso.co.uk / explorer — live query running
Explorer · revenue & margin, vs last year
collection country
KnitwearUK£48.2k+12%
KnitwearEU£21.7k+9%
DressesUK£39.5k−4%
OuterwearUS£17.9k+31%
rows returned ·
Exported to Excel
Saved as a scheduled report

One question, one query — the answer in seconds, exported before the meeting starts.

Why it matters

Dashboards answer the questions someone predicted

The questions that decide a trading week are long-tail: this collection, that country, versus last year. If your answer lives three spreadsheet exports away, it usually goes unanswered.

Fixed dashboards

Pre-built charts answer pre-built questions. The moment you ask something new, you're on your own.

Spreadsheet detours

Export, VLOOKUP, pivot, repeat — an hour of wrangling for every answer, and it's stale by tomorrow.

Questions left unasked

When answers are expensive, teams stop asking. The insight that would have changed the buy never surfaces.

How it works

Pick metrics, pick dimensions, done

Explorer works like a pivot table that already knows your whole store. Choose the metrics you care about, choose how to slice them, and the cube computes the answer over every order, product and customer — instantly, and always up to date.

Any metric

Revenue, orders, units, margin, discount, returns and more — combine as many as you like in one view.

Any dimension

Product, variant, collection, vendor, country, channel, discount code, month — stack them to go as deep as the question demands.

No SQL, no exports

The long-tail questions get answered inside Nuso — not in a data warehouse or a Sunday-night spreadsheet.

Explorer
live data
Metrics
RevenueMargin + orders · units · returns…
Dimensions
CollectionCountry + vendor · channel · month…
Compare
vs last year
Knitwear · UK£48.2k +12%
Dresses · UK£39.5k −4%
Outerwear · US£17.9k +31%
Use cases

The questions Explorer answers

Merch trading meeting

"Revenue by collection by country, vs last year"

Walk into Monday trading with the exact cut the room asks for — built in seconds, not the night before.

Finance month-end

"The month-end pack, without the wrangling"

Pull revenue, margin, discount and returns by channel and month, then export straight to Excel for the pack.

Ad-hoc founder question

"Which discount codes actually made money?"

The odd, specific, right-now question — pivot discount by code against margin and know before the meeting ends.

Revenue by collection — this year vs last
export · CSV / Excel
CollectionThis yearLast yearΔ
Knitwear£112.4k£98.1k+15%
Dresses£96.7k£101.2k−4%
Outerwear£64.3k£48.9k+31%
Accessories£28.1k£26.5k+6%
Every row computed live from your full order history
Period comparison

This year vs last, on every row

Any view in Explorer can be compared against a previous period, side by side. Growth and decline show up per collection, per country, per code — not buried in a blended total — so you see exactly where the movement came from.

Side-by-side deltas

Both periods and the change on every row, so mix shifts can't hide inside averages.

Straight to CSV or Excel

One click and the exact table you built lands in the format your board pack expects.

In the box

Everything Explorer can do

Every metric

Revenue, orders, units, margin, discount, returns and more — mix any of them in a single view.

Every dimension

Product, variant, collection, vendor, country, channel, discount code, month — stack them freely.

Period comparison

Compare any view against last week, last month or last year — deltas on every row.

CSV & Excel export

Take any result set out of Nuso in one click, formatted for the pack or the model.

Saved views

Keep the cuts you use every week and re-run them on live data, or schedule them as reports.

No SQL required

Answers in seconds over your entire dataset — no warehouse, no analyst queue, no exports.

Ask your data anything, today

14-day free trial · No card required · £199/month, everything included

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