
"Where do I start – without wanting everything at once?"
You need clarity: What makes sense, what comes first – and what lasts during operation?
Process optimization: Through AI, RPA and data analysis for maximum efficiency. Efficient business processes are the direct lever for your company’s success. Our process consulting uses the latest technologies to not only map your processes digitally, but also to fundamentally improve them.
We start with your initial situation – not with a standard offer. This creates a roadmap that fits your pace, your risks and your operations.
The story behind it
BI only works when data quality and responsibility are clear.
From Excel islands to reliable key figures. Management and departments need current KPIs - but data is in ERP, CRM, SharePoint and local tables. Each department maintains “its” numbers, reports contradict each other, and no one is responsible for data quality and timeliness.
Adiumento approach: We define KPIs and data sources, build a lean data model and deliver dashboards with governance - so that decisions are made on a common, maintained basis.
→ Result: Result: Transparent control with KPIs that create trust - instead of discussions about the right number.
What’s in it for you?
Services
Process automation, data analysis and strategic IT alignment.
01
Process automation with AI & RPA
Use of artificial intelligence (AI) and robotic process automation (RPA) to automate repetitive tasks.
02
Data analysis for optimization
Use of company data and business intelligence (BI) for in-depth analysis and control of processes.
03
Strategic IT alignment
Linking the IT strategy with the business goals for long-term process optimization.
Services
Services
Typical building blocks – combined into a setup that fits your size and maturity level.
Data & Architecture
We analyze data sources, process data and responsibilities as a basis for analytics and BI. The aim is to create a resilient foundation so that key figures are comprehensible and do not arise from isolated Excel lists.
Dashboards
We develop Power BI and KPI setups with clear questions, data origins and target groups. This creates dashboards that support decisions and don't just visualize numbers.
Governance
We define rules for data quality, permissions, updates and lifecycle of reports. This means BI content remains reliable, understandable and maintainable in the long term.

In Focus
- Data & Architecture
- Dashboards
- Governance
What you get in concrete terms
No slides with no effect – but artifacts that your team and auditors can understand.
Use case backlog (prioritized)
Prioritized process and BI use cases with benefits, data, effort and relevance to decision-making. This makes it clear which topics deliver measurable added value first.
Process & data model (lightweight)
Documentation of the relevant process steps, data sources, responsibilities and key figures. The model forms the basis for automation, reporting and robust dashboards.
Prototype/MVP and rollout plan
Functional BI or process prototype with coordinated rollout, feedback loops and operational handover. The aim is to achieve visible benefits before large implementation packages are created.
Governance for operations & further development
Rules for data quality, authorizations, report lifecycle, responsibilities and maintenance processes. This means that evaluations remain comprehensible and can be used in the long term.
SOFTWARE & FRAMEWORK
We typically use these modules in combination – tailored to architecture, compliance and your ongoing operations.
Microsoft Power BI
KPIs and dashboards for leadership and departments.
Data model
Structured database for reporting and apps.
ETL & Integration
Data flows between systems – reliably connected.
Governance
Rules for usage, permissions, and ongoing development.
KPIs
Control variables that support decisions.
Reporting
Regular reports for operations and management.
We prioritize platforms and tools based on use case, data, governance and operations - not as a loose list of tools.
Typical examples
This is what it looks like in comparable environments – concrete, comprehensible and transferable to the company.
01
Clarify KPIs and sources
Define a catalog of key figures and data origins so that reports have a reliable basis.
02
Build dashboards based on roles
Design evaluations for management and departments so that decisions are made more quickly.
03
Automate data refresh
Introduce ETL and monitoring so that key figures remain current and traceable.
04
Anchor data ownership
Establish responsibilities and quality rules so that BI content is reliable in the long term.
Mini case: KPI dashboard for leadership
A typical procedure when management and departments use different numbers and decisions are delayed.
Background
Scattered Excel metrics
KPIs are located in individual files and systems; responsibility for data quality is unclear.
Action
Data model and dashboards
KPI catalog, data sources and automation are defined and role-based dashboards are built.
Results
Common control basis
Quality rules and ownership ensure that reports remain trustworthy and usable in everyday life.

Approach
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01
Understanding
Clarify processes and goals.
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02
design
Solution and roadmap.
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03
Wagering
Deliver iteratively.
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04
Scale
Roll out and measure.
