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Industries

Data Analytics by Industry

Data analytics, dashboards and data integration shaped to the decisions, systems and regulations of your industry.

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One method, shaped to each sector's KPIsA four-step method of collect, model, dashboard and decide feeds sector KPIs: manufacturing throughput, software net revenue retention, clinic wait time and services utilization.Demo dataOne methodYour sector's KPIs1 Collectyour systems2 Modelshared definitions3 Dashboardsector KPIs4 Decidethe next actionManufacturingThroughput412 units/daySoftwareNet revenue retention108%ClinicsPatient wait time18 minProfessional servicesUtilization74%One method, shaped to each sector's KPIsA four-step method of collect, model, dashboard and decide feeds sector KPIs: manufacturing throughput, software net revenue retention, clinic wait time and services utilization.Demo dataOne method1 Collectyour systems2 Modelshared definitions3 Dashboardsector KPIs4 Decidethe next actionYour sector's KPIsManufacturingThroughput412 units/daySoftwareNet revenue retention108%ClinicsPatient wait time18 minProfessional servicesUtilization74%

Every industry measures success differently. A plant watches throughput and scrap. A software company watches recurring revenue and churn. A clinic watches capacity and patient flow. We apply one documented method, from data collection to decision dashboards, and shape it to the KPIs, systems and rules of your sector. Choose your industry below to see what that looks like.

Industry finder

Find the analytics page for your industry

2 questions. We point you to the analytics page for your industry. Nothing is sent anywhere.

Illustrative
1. Where is most of your money tied up?
2. Or are your main assets people, clients and data?
0 of 1 answered
Asset-heavy industries

Asset-heavy industries decide on capacity, cost and cash

In these industries, money sits in stock, equipment, property and projects. Analytics shows where it is working and where it is stuck.

ManufacturingConstructionReal estate
Same three decisions, a different KPI in each industryMatrix of manufacturing, construction and real estate against capacity, cost and cash: units per hour, cost per unit and inventory days; crew hours, job cost vs budget and billed vs work done; occupancy, maintenance cost per unit and rent collected vs billed.IllustrativeSame three decisions, a different KPI in each industryAsset-heavy industries: the headline KPI for capacity, cost and cashCapacityCostCashManufacturingUnits per hour by lineCost per unitInventory daysConstructionCrew hours booked vsavailableJob cost vs budgetBilled vs work doneReal estateOccupancy by propertyMaintenance cost perunitRent collected vsbilledCash is where money sits in stock, equipment, property and projects: analytics shows where it is stuckSame three decisions, a different KPI in each industryMatrix of manufacturing, construction and real estate against capacity, cost and cash: units per hour, cost per unit and inventory days; crew hours, job cost vs budget and billed vs work done; occupancy, maintenance cost per unit and rent collected vs billed.IllustrativeSame three decisions, a differentKPI in each industryAsset-heavy industries: the headline KPI forcapacity, cost and cashManufacturingCapacityUnits per hour by lineCostCost per unitCashInventory daysConstructionCapacityCrew hours booked vs availableCostJob cost vs budgetCashBilled vs work doneReal estateCapacityOccupancy by propertyCostMaintenance cost per unitCashRent collected vs billed

Throughput without surprises

Production, quality, inventory and cost data joined in one model, from shop floor to finance.

  • Throughput and scrap
  • Inventory and cost
  • Capacity by line
Service and regulated industries

Service and regulated industries decide on people, revenue and risk

Here, the main assets are people, clients and data. Analytics shows utilization, recurring revenue and compliance in one view.

SaaSProfessional servicesFinancial servicesHealthcare
Each service industry runs on one headline KPIFour KPI tiles: SaaS net revenue retention 104%, professional services billable utilization 71% (4 points below a 75% target), financial services report fields with lineage 96%, healthcare appointment slots used 88%.Demo dataEach service industry runs on one headline KPIService and regulated industries: one KPI for people, revenue or riskSaaSRevenueNet revenue retention104%+3 pts vs last yearProfessional servicesPeopleBillable utilization71%4 pts below the 75% targetFinancial servicesRiskReport fields with lineage96%+6 pts this quarterHealthcarePeopleAppointment slots used88%patient data access loggedUtilization is the one to act on here: below target, it erodes margin firstEach service industry runs on one headline KPIFour KPI tiles: SaaS net revenue retention 104%, professional services billable utilization 71% (4 points below a 75% target), financial services report fields with lineage 96%, healthcare appointment slots used 88%.Demo dataEach service industry runs on oneheadline KPIService and regulated industries: one KPI forpeople, revenue or riskSaaSRevenueNet revenue retention104%+3 pts vs last yearProfessional servicesPeopleBillable utilization71%4 pts below the 75%targetFinancial servicesRiskReport fields with lineage96%+6 pts this quarterHealthcarePeopleAppointment slots used88%patient data accesslogged

Recurring revenue you can explain

Pipeline, subscriptions, churn and lifetime value joined across CRM and billing.

  • Recurring revenue movements
  • Churn by cohort
  • Customer lifetime value
How we work

One method in every industry: advice first, implementation when you are ready

The industry changes the KPIs. The method stays the same, and that is what keeps the work consistent and easy to review.

One method in every industry

Select a stage, use Next or the arrow keys

Advise. We list the choices your leaders make each month and the data each one needs, and confirm that we can genuinely help.

Step 1 of 4

We start with advisory: the decisions your leaders make each month, the data behind them and your team, so we can confirm that we can genuinely help. Where your team needs new skills, we provide training. We propose implementation, such as connecting the CRM, ERP and finance tools, cleaning data and building dashboards, only once the scope is clear and your organization is ready to adopt it. If it is not, we say so and continue with advisory or training. A named team stays accountable through adoption, with optional ongoing support.

Every engagement is vendor-neutral and built on the platforms you already use. Proof comes from sample dashboards on demo data and a clear written scope, not from promises.

Advice first

We list the decisions data must support and confirm that we can genuinely help.

Training where needed

Your team learns to own and use the work.

Implementation when ready

After a readiness check, we connect, clean and define data, then build dashboards.

Accountable through adoption

A named team stays on until the work is used, with optional support.

Talk to us about the decisions in your industry

Tell us your industry and the decision that matters most this quarter. We will show you which data supports it and what a first dashboard would look like. The first conversation is advisory, not a sales pitch. Book a consultation to get started.

See how we work