Operational analytics by industry

Solutions built around your operating decisions

Explore business questions, useful sources and report examples across eight industries. Start with a focused decision and expand the reporting when the data supports it.

The sector changes the question — the evidence still matters

A useful dashboard connects the decision to an agreed measure and the source records behind it. A retailer’s product margin, a hotel’s room revenue and a contractor’s open commitments need different definitions, even when the same reporting tools are used.

The examples below illustrate the reporting approach with synthetic data. They do not represent customer results, implementation references or industry certifications. Each dedicated solution page explains the source requirements, calculation rules and limitations in more detail.

Wholesale & distribution

Understand margin, stock and customer contribution

A distributor’s sales total can grow while margins weaken or stock becomes harder to move. Connect accepted invoice lines, product costs and inventory records to see how those changes relate.

Begin with a focused product or customer review. Wider reporting can connect margin, demand and stock cover once stable identifiers, cost coverage and movement history are confirmed.

Questions worth investigating

  • Which products contribute gross profit rather than revenue alone?
  • Which accounts are growing, declining or concentrating revenue?
  • Where is stock cover high, and which items need replenishment?
Explore wholesale & distribution analytics
Sales, margin and customer contributionIllustrative report · Synthetic data

Hotels & hospitality

Read occupancy and room rates in context

A fuller property is not necessarily earning more per available room. Occupancy, average daily rate and RevPAR provide complementary views of room performance when capacity and revenue definitions are aligned.

Compare periods, properties and booking channels using room-night and room-revenue data. Add commissions and operating costs when the business question is about profitability rather than room revenue.

Questions worth investigating

  • How do occupancy and achieved room rates move together?
  • Which channels contribute revenue before and after agreed costs?
  • Are property comparisons using consistent available capacity?
Explore hotels & hospitality analytics
Hotel occupancy, ADR and room revenueIllustrative report · Synthetic data

E-commerce

See what remains after refunds and product costs

Order totals can hide discounts, refunds and an uneven product mix. An e-commerce report starts with an agreed net-sales definition, then connects order lines and product costs to explain category contribution.

Channel reporting is added when attribution and source matching are clear. Attributed sales describe an assignment rule; they do not prove which activity caused an incremental sale.

Questions worth investigating

  • Which products generate sales but leave weaker gross margin?
  • How much of reported sales is affected by refunds or discounts?
  • How do order value and product mix change across periods?
Explore e-commerce analytics
Net sales, product economics and order channelsIllustrative report · Synthetic data

Manufacturing

Bring output, quality and material readiness together

Completed quantities alone cannot explain plan performance. Production records, rejected output, downtime and material availability describe different parts of the operating picture.

Start with one line or product group and compare the accepted measures. OEE requires appropriate time, cycle-rate and quality inputs; it cannot be inferred from a sales or inventory export.

Questions worth investigating

  • Which production orders are behind the agreed plan?
  • Are shortages and late receipts concentrated in specific materials?
  • Are quality losses or rework visible in the accepted records?
Explore manufacturing analytics
Material stock and replenishment exampleIllustrative report · Synthetic data

Retail & multi-store businesses

Compare stores without losing the product detail

Store revenue can reflect different assortments, opening schedules and discounting. Useful comparisons keep net sales, product contribution and stock exposure connected, with explicit comparable-store rules.

Begin with POS lines, store identifiers and item costs. Current stock and replenishment questions require actual balances or movement history, rather than assuming that the POS export describes availability.

Questions worth investigating

  • Which stores and categories contribute gross profit?
  • Are comparable stores being measured across similar trading days?
  • Where do stock exceptions coincide with changes in sales mix?
Explore retail & multi-store businesses analytics
Store and product performance reporting exampleIllustrative report · Synthetic data

Logistics & transport operations

Separate workload, reliability and operating cost

More completed jobs do not automatically mean better service. Compare throughput, eligible on-time deliveries and open work using an agreed definition of the delivery promise.

Dispatch records support reliability questions when promised and completion timestamps are available. Cost, distance and utilisation questions need additional sources and appropriate allocation rules.

Questions worth investigating

  • Where are late jobs concentrated by service or location?
  • Is backlog increasing even when completion volume grows?
  • Which operating costs can be reliably linked to a job or route?
Explore logistics & transport operations analytics
Delivery throughput and service reliability exampleIllustrative report · Synthetic data

Professional services

Connect project income with delivery effort

Billed revenue alone does not establish which projects contribute the most. Time entries, agreed cost rates, invoices and collections can bring delivery economics into a clearer management view.

Start with project or client-level measures. Use aggregate reporting where it answers the question, and document overhead allocation before comparing project contribution or utilisation.

Questions worth investigating

  • Which projects consume more effort than their agreed plan?
  • How concentrated is revenue across major clients?
  • Where do overdue balances create collection exposure?
Explore professional services analytics
Project economics and receivables reporting exampleIllustrative report · Synthetic data

Construction & project businesses

Distinguish actual costs from commitments

Approved budgets, supplier invoices and open purchase orders describe different positions. Keeping them separate helps avoid counting the same cost twice or overlooking committed spending.

Progress and forecast final cost require additional accepted assumptions. Spending to date is not a substitute for measured physical completion or certified project valuation.

Questions worth investigating

  • How do actual costs compare with the accepted budget version?
  • What remains committed but not yet invoiced?
  • Which project exceptions need commercial or finance review?
Explore construction & project businesses analytics
Purchasing commitments and supplier follow-up exampleIllustrative report · Synthetic data

What a scoped solution brings together

A decision-focused report

Confirmed KPIs, useful comparisons, clear filters and supporting detail. The number of sources and report views follows the agreed scope.

Traceable calculations

Revenue, cost, date and grouping rules are agreed before interpretation. Missing fields and records outside the scope are documented.

A practical interpretation

Written observations connect measured patterns to management questions. Assumptions and evidence are kept visible alongside the charts.

Start with your business question

Tell us what you need to understand and what data is available. We will review feasibility before confirming scope.

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