BI and analytics

BI dashboard development

We build role-based BI dashboards that make KPI visibility and deviations usable without manual reporting.

A BI dashboard is only useful when it answers the real questions a specific role asks every day: what is happening in sales, marketing, operations, support or finance. We design BI dashboards that connect multiple systems, show decision-ready metrics and become part of the day-to-day management workflow.

When a dedicated dashboard project is the right move

When the data already exists but is spread across CRM, ad platforms, spreadsheets, ERP and internal tools, and the team still has to assemble the picture manually. A dashboard turns that picture into a reliable and repeatable management surface.

What business teams get from dashboards

Unified KPI visibility

Core metrics across sales, marketing, support and operations are visible in one place.

Less manual reporting

Teams spend less time assembling weekly or monthly reports by hand.

Faster decisions

Risk, trend shifts and performance drops become visible before they turn into larger problems.

What management tasks BI dashboards solve

Marketing and sales

Funnels, CAC, ROAS, leads, revenue and channel comparisons in one interface.

Operations teams

SLA, workload, process status, request handling speed and internal KPIs.

Leadership teams

Executive dashboards for fast business review without opening multiple reports and spreadsheets.

Who gets the most value from this

CEO / founder

When leadership needs a fast view of business health, deviations and KPI movement without waiting for manually prepared reporting.

Head of Sales

When one interface should show pipeline, conversion, plan-vs-actual and team performance.

Head of Marketing

When CAC, CPL, ROAS, funnel velocity and channel contribution should be visible in one working view.

COO / Ops lead

When SLA, throughput, workload and bottlenecks should be visible without repeated exports and spreadsheet work.

What the project includes

KPI map and ownership logic

We define which metrics matter, who uses them and how they should support real business decisions.

Screen structure, roles and drill-down

We design screens, filters, drill-down paths, role-based views and the logic behind management exploration.

Data sources, refresh cadence and access rules

We connect the needed systems, define refresh rules, access logic and the quality checks behind the BI dashboard.

Onboarding and handover

We deliver the first working version, enable the team and formalize how the dashboard should be used in the operating rhythm.

How dashboard work is usually phased

1-2 weeks

KPI diagnosis and reporting map

We define roles, metrics and source systems so the project starts with the right management questions instead of generic charts.

3-6 weeks

First working dashboard

We ship one dashboard for a critical function or leadership role so the team gets a usable management surface quickly.

6+ weeks

Expanded BI layer

We extend the dashboard with new data sources, levels of detail, roles and supporting analytics as adoption grows.

How dashboard projects are delivered

01

Discovery

We define users, KPIs, existing reports and the questions the dashboard must answer.

02

Data modeling

We prepare the structure, data flows and transformation logic.

03

Dashboard build

We design visualizations, filters, drill-down logic and the management view.

04

Rollout

We test with the team, train users and refine the dashboard based on real feedback.

What systems and data we usually connect

Power BI / Looker Studio / Tableau / GrafanaCRM / sales dataERP / operations dataAd platformsExcel / Google Sheets / databases / APIsData modeling and refresh workflows

What makes a dashboard worth using

  • Metrics are directly tied to business decisions and responsibility areas.
  • Data sources and update rules are transparent.
  • Teams can see not only totals, but the causes behind changes.
  • The dashboard reduces manual reporting overhead.

What management problems BI dashboards usually solve

Executive KPI panel

Leadership needs a daily view of business health, deviations, plan-vs-actual and early warning signals without stitching together multiple reports.

Marketing and sales view

Teams need one interface for funnel movement, CAC, ROAS, leads and revenue so they can work from the same KPI picture.

Operational monitoring

Teams need a clearer BI view of SLA, workload, processing speed and recurring bottlenecks instead of repeated exports.

What reduces delivery risk for the client

We work with legal entities under contracts

The business setup is ready for B2B collaboration, structured delivery and formal project communication.

We can operate under NDA and private data constraints

If the project involves internal workflows, client data or restricted documentation, we can work in a confidential setup.

We optimize for operational adoption, not just launch

The goal is not a demo. It is a working layer with integrations, ownership, handoff logic, QA and real use inside the business.

Multilingual and AI-heavy workflows are in scope

Projects that combine automation, analytics, AI and multilingual communication fit naturally into our delivery model.

How projects usually start

01

Problem framing

We quickly align on the business goal, current process, constraints and what should improve after delivery.

02

Scope and architecture

We define which systems, data, user scenarios and roles belong in the first working version.

03

Pilot or first operating layer

We build a pilot or minimum useful delivery layer instead of spending too long in abstract planning.

04

Refinement on real usage

After launch we review bottlenecks, user behavior and quality signals, then strengthen the system where it matters most.

Get in Touch

Common questions about BI dashboards

Do we still need dashboards if reports already exist in spreadsheets?

Often yes. Dashboards matter when teams need ongoing KPI visibility instead of repeatedly rebuilding the same picture manually.

Can one dashboard combine CRM, ad platforms and internal data?

Yes. That is often the main value of the project: turning separate sources into one usable management surface.

How do you make sure a dashboard is useful rather than decorative?

By tying it to roles, decisions and recurring business questions instead of just adding attractive charts.

When is a dashboard not the right first step?

When metrics are not yet defined, source systems are not aligned or the business mainly needs recurring scheduled summaries. In those cases it is often better to start with reporting logic and the data model.

Need a dashboard your team will actually use?

We can map the KPI logic, data sources and management scenarios for a dashboard tailored to your business.