When the data isn't working.

Data and BI problems rarely announce themselves clearly. They surface as recurring manual effort, conflicting numbers in different reports, or dashboards that no one trusts or uses.

01

Every report starts with an Excel export, a manual clean-up, and a prayer that nobody changed the source data.

Key financial and operational reports are created manually in Excel every cycle. The process is error-prone, time-consuming, and produces inconsistent outputs across departments. There is no single source of truth.

02

ERP, CRM, and planning tools each have a piece of the truth. Nobody has assembled them into one.

ERP, CRM, and planning tools contain the relevant data, but they do not speak to each other. Generating consolidated KPIs or tracking performance across entities and functions requires manual aggregation every time.

03

The dashboards were built six months ago. Nobody opens them anymore. Nobody is quite sure why.

Dashboards have been built but are either too technical, not aligned with management needs, or not maintained as the business evolves. Internal teams lack the knowledge or confidence to adapt them independently.

04

The monthly report shows revenue and costs. It doesn't show what's actually driving them or what to do about it.

Existing reports show what happened, but do not explain performance patterns or support forward-looking decisions. The metrics that truly drive value are either undefined, unmeasured, or buried in operational data.

Four phases. From fragmented data to decision-ready transparency.

We start with the questions management actually asks, then work backward from those questions to the data and architecture needed to answer them reliably and automatically.

01

Assess

We assess the reporting needs of all relevant stakeholders: management, investors, and operational teams. We map source systems, identify data quality gaps, and clarify governance requirements.

  • Analysis of reporting needs across stakeholders
  • Identification of source systems, data quality gaps, and current processes
  • Clarification of governance requirements and scalability needs
  • Definition of reporting priorities and quick-win use cases
02

Design

We build the financial KPI logic and data model architecture. Report structures and visuals are aligned with decision-making needs, and ownership and update logic are defined from the outset.

  • Development of financial KPI logic, hierarchies, and structures
  • Creation of conceptual data models and integration plans
  • Alignment of report structures and visuals with decision-making needs
  • Definition of ownership, update logic, and documentation standards
03

Build & Automate

We connect source systems, implement the core data models, and build intuitive dashboards tailored to different user roles. Data flows and report refresh cycles are automated end to end.

  • Connection of source systems and implementation of core data models
  • Development of intuitive Power BI dashboards for management and investors
  • Automation of data flows and report refresh cycles
  • Drill-downs and views that support day-to-day steering
04

Enable & Handover

We train internal teams to maintain and adapt the BI environment independently. Governance playbooks and documentation ensure long-term usability without ongoing external dependency.

  • Training of internal teams to maintain and adapt dashboards
  • Provision of governance playbooks and full documentation
  • Establishment of reporting rhythms and ownership structures
  • A handover structure that keeps the solution relevant as the business grows and changes

From fragmented sources to a single source of truth.

Reporting only works when every number can be traced back to its origin. We integrate disparate systems into one governed data layer and serve it to whoever needs it: management, investors, operations, auditors. All from the same logic.

Data Architecture
Source to user
SOURCES DATA LAYER CONSUMERS ERP CRM HR EXCEL SINGLE SOURCE OF TRUTH Governance · Lineage Ownership MANAGEMENT INVESTORS OPERATIONS AUDITORS

What you receive at the end of an engagement.

Every deliverable is designed for long-term usability. Your team can operate, adapt, and extend the solution without returning to us.

Integrated Financial Data Model

A harmonized and scalable data model that consolidates ERP, controlling, and operational data into a single source of truth. It enables consistent reporting, accurate KPIs, and reliable analytics across the organization.

Automated Power BI Dashboards

Customized dashboards built for management and investors that display key metrics, performance drivers, and trends in real time. Intuitive navigation and drill-down capability support faster, better-informed decisions.

Reporting Automation Framework

A fully automated reporting setup that handles data refreshes, validation, report creation, and distribution. It eliminates manual effort, reduces errors, and shortens reporting cycles significantly.

Governance & Documentation Toolkit

A clear framework defining data ownership, update processes, change controls, and validation routines. Supporting documentation and training guides ensure the solution remains manageable over time.

Performance-Driven KPI Framework

Clearly defined KPIs with aligned calculation logic, consistent data sources, and structured visualization. Every number has a defined source and a defined owner. Management knows what it means, where it comes from, and who is responsible for it.

Internal Enablement & Handover Plan

A structured onboarding and training plan that equips internal teams to maintain, operate, and develop the BI environment independently. The solution belongs to your team from day one of handover.

The result: consistent, automated transparency that management and investors can act on.

Reporting that runs itself. Dashboards that are actually used. A data environment your team owns and understands. Performance becomes visible, comparable, and actionable without anyone having to compile reports manually.

Automated reporting Real-time dashboards Consistent KPI logic Reduced manual effort Internal team ownership