Power BI | Analytics for Every Role
Power BI for Different Business Roles
Every department gets exactly the data needed for decisions — no excess, no waiting, in real time. The CEO sees the whole company. Marketing sees their channels. Finance sees cash and margins. One tool, six perspectives.
Problem
Why a One-Size-Fits-All Report Is Not a Solution
Most companies face the same challenge: every department "sees" only its own fragment of the business. Marketing counts leads in one spreadsheet, sales tracks deals in another, finance consolidates everything manually once a month. As a result, the CEO gets an outdated picture, numbers don't add up, and meetings turn into debates about whose data is correct.
Power BI solves this through a role-based approach: every role in the company sees their own dashboard with relevant metrics — connected to a single data model. No manual consolidation. No discrepancies between departments.
Relevance Instead of Overload
Each role sees only the metrics that affect its decisions — without unnecessary information noise
Single Source of Truth
All dashboards are fed from one model — marketing, sales, and finance numbers are always aligned with each other
Access Control
The CFO sees P&L details, the sales manager sees only their pipeline. Flexible segmentation without complex administration
Scalability
Start with one department, gradually add others. The model grows with the business without rebuilding from scratch
Analytics by Department
Power BI Analytics for Every Department
Choose your role — and find out what metrics will be available from the first week.
CEO / Owner
Executive Dashboard: Full Business Overview
The owner or CEO should not gather data from every department before a strategy meeting. Power BI management analytics gives a single view of the company — in real time, from any device.
- Revenue and margins by product, client, and region
- Actual plan execution across all departments
- Trends and forecast for the quarter / year
- Company KPIs — on one screen, without calling the team
Marketing Director
End-to-End Analytics: From Channel Spend to Revenue
Power BI for marketing consolidates data from ad platforms, CRM, and financial systems into a single picture — and shows which channel actually brings money, not just traffic.
- ROMI and ROAS for each acquisition channel
- Cost per Lead (CPL) and Customer Acquisition Cost (CAC) over time
- Funnel from first touch to closed deal
- LTV by cohorts and customer segments
Commercial Director
Pipeline, Forecast, Plan vs. Actual: Real-Time Sales Control
The Commercial Director needs to know where deals are stalling, which managers are behind plan, and what threatens quarterly performance — not at month-end, but right now.
- Sales pipeline by stage, manager, and segment
- Plan execution forecast for the current and next month
- Funnel conversion at each stage
- Average deal size, sales cycle, at-risk customer churn
CFO
P&L, Cash Flow, Budget: Management Reporting Without Excel Consolidations
Power BI for finance automates P&L, Cash Flow, and plan vs. actual — and makes them available daily, not monthly. Financial reporting as a management tool, not a retrospective.
- P&L by department, product, and client
- Cash Flow: inflows, outflows, cash gap forecast
- Budget vs. actual in real time
- Accounts receivable: structure, dynamics, risks
HR Director
Headcount, Turnover, Recruiting: People Analytics Without Manual Spreadsheets
Power BI for HR enables real-time visibility into workforce dynamics, hiring efficiency, and attrition risks — without manual collection from scattered spreadsheets.
- Headcount: structure, dynamics, deviation from plan
- Staff turnover by department and category
- Time-to-fill and cost per hire
- eNPS and employee engagement metrics
Operations Director
Process Efficiency, SLA, Resources: Operational Control in Numbers
Power BI for operations provides visibility into production metrics, SLA compliance, and resource utilization — without manually collecting data from scattered sources.
- Process efficiency and deviations from standards
- Project execution: deadlines, budget, resources
- SLA for service processes and departments
- Resource utilization and bottlenecks in workflows
How We Work How Progresia Builds Analytics for Each Role 4 steps from the first meeting to a ready dashboard — with a clear result at each stage.
2–3 days Role Needs & KPI Analysis We determine what decisions a specific role makes, what data is missing, and what is collected manually. The output is an agreed list of KPIs and dashboard logic.
3–5 days Data Model Design We define data sources, transformation logic, and metric calculation rules. The model is built to scale to other roles without rebuilding from scratch.
5–10 days Dashboard Development We develop visualizations: report structure, filter logic, drill-downs, period comparisons, access rights. Agreed iteratively — no surprises at the end.
1–2 days Training & Handover We hand over the ready system and train users and administrators. During the first month we stay available and help with new requests.
Situations
Typical Situations That Bring Clients to Us
"I don't know what's happening in my business right now"
Data exists, but it's scattered. Finance is in one system, sales — in the CRM, marketing — in ad platforms, operations — in Excel files across different managers. Getting a complete picture requires meeting with four people or waiting for a weekly report.
We build a CEO executive dashboard that aggregates all key metrics in one place — updated hourly to daily. You see deviations from plan and respond before they become critical.
"Marketing and sales can't agree on the numbers"
Marketing reports 500 leads per month. Sales says only 80 were quality. The result — mutual blame instead of a shared plan. The cause is not the people, but siloed data.
We build an end-to-end data model where marketing leads and CRM deals use unified definitions. Marketing sees how many of its leads converted to revenue. Sales sees which channel brings the best customers.
"Reports take two days to prepare, but I need an answer in two minutes"
An analyst manually collects data from scattered sources, consolidates in Excel, formats, and sends. By then the data is already outdated and the decision is late. This cycle repeats every week or month.
We automate the entire path from source to visualization. Data updates automatically — hourly, daily, or in real time. The analyst is freed from routine and focuses on interpretation, not collection.
FAQ
Frequently Asked Questions About Role-Based Power BI Analytics
Can different roles be given access to different data?
Does Power BI integrate with our CRM / ERP?
How long does it take to implement analytics for one department?
Can we start with one role and expand later?
What Power BI license is needed for role-based analytics?
Which role in your company needs analytics first?
We'll conduct a free consultation: determine what data you already have, where the most time is lost on manual collection, and which department will get the most value from Power BI fastest.