Abstrakte Illustration: Prozessoptimierung und BI in Blau.

← Digitalization

Optimize processes

Efficiency as standard.

"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.

Abstraktes Kontextvisual zur Leistung Prozessoptimierung und BI

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.

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.

Visualisierung eines BI-Projekts mit KPI-Dashboard und Datenmodell

Approach

Four phases – clearly timed, with measurable interim results instead of big bang.
  1. 01

    Understanding

    Clarify processes and goals.

  2. 02

    design

    Solution and roadmap.

  3. 03

    Wagering

    Deliver iteratively.

  4. 04

    Scale

    Roll out and measure.