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OrionStats
Module 1 · Analytics and the Analyst · Roles in the data team

How organisations use data — department by department

What Management, Finance, Sales, Marketing, HR, Product, IT and Operations each need from analysts — and how to work with them.

Beginner35 min
Recommended first

This lesson builds on: The data analyst's role, and the roles around it.

Learning objectives
  • List the typical questions and KPIs of each business department
  • Explain why the same word (e.g. "revenue", "customer") can mean different things to different departments
  • Adapt your communication to the department you serve

Every department is a customer of analytics

Analysts rarely work for "the business" in the abstract. They work with specific people who have specific decisions to make. Understanding what each department is measured on tells you what they will ask, and what will worry them.

Department Decisions they make Typical KPIs What they need from you
Management / leadership Strategy, priorities, budgets Revenue growth, profit, market share, cash A short, reliable picture and clear trade-offs
Finance Budgets, forecasts, cost control, reporting Gross margin, EBITDA, opex vs budget, working capital Numbers that reconcile exactly to the ledger
Sales Targets, territories, incentives, pipeline Revenue vs plan, conversion rate, deal size, win rate Rep- and region-level performance, commission accuracy
Marketing Campaigns, channels, budget allocation Leads, CAC, ROI/ROAS, conversion, retention Campaign effect measurement, segmentation
HR Hiring, retention, pay, performance Headcount, attrition, time-to-hire, engagement Workforce analysis that respects privacy
Product What to build and improve Activation, usage, funnel conversion, retention Funnel and experiment analysis
IT Systems, security, data platforms Uptime, incidents, delivery Clear data requirements, issue reports
Operations Supply, logistics, service Stock-outs, lead time, SLA, cost per order Forecasts, process bottlenecks

The same word, different meanings

Finance's "revenue" is usually recognised revenue after returns, by accounting period. Sales may count the order value on the day the deal was signed. Marketing may count gross merchandise value including cancelled orders. None of these is wrong — but mixing them in one dashboard is.

Write the definition next to the number

Every KPI in a professional dashboard has an agreed definition: formula, filters, source, owner. When two departments disagree, your first job is to surface the definitions, not to choose a side.

Worked example: one dataset, three conversations

Orion Retail's 2025 completed-order net revenue is 1.14M against a sales plan of 1.13M.

  • To the CEO: "We grew 12.5% and finished 1% above plan. Istanbul Kadikoy and Ankara (its first full year) drove more than half of the growth. Ankara is still 5% below its plan."
  • To Finance: "Net revenue here is order lines × unit price × (1 − discount), completed orders only, by order date. Before this goes into the board pack, I will reconcile it to the ledger — returns booked in a later month are a typical source of difference."
  • To Sales: "Store-level plan vs fact by month: four stores finished below plan — Ankara (95%), Tbilisi (97%), Baku Central (97.5%) and Online (98%); Sumqayit led at 111%."

Same numbers. Different emphasis, level of detail and vocabulary.

Working well with each department

  • Ask what decision the request supports. "Revenue by region" for a board pack and for a commission calculation require different precision.
  • Agree on definitions and sources before building.
  • Respect confidentiality. HR and salary data, customer personal data and unreleased financials have restricted audiences.
  • Close the loop. After delivering, ask whether the analysis changed the decision; that feedback improves the next request.

Common mistakes

One dashboard for everyone

A dashboard that tries to serve the CEO, Finance and every sales rep ends up serving no one.

Practice

Which KPI would you most expect Finance to own?

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Sales reports 2025 revenue of 1.21M; Finance reports 1.14M. Sales counts order value on the order date including later-returned orders; Finance counts completed orders net of discount. What should you do?

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Summary

  • Each department has its own decisions, KPIs and vocabulary.
  • The same metric name can have legitimately different definitions; document them.
  • Tailor the level of detail and language to the audience, but keep one source of truth.