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‘Look before you leap’

Every organization operates through processes: chains of activities that create value for customers and stakeholders. When these processes are inefficient, they lead to delays, errors, frustration, and unnecessary costs. If you start a digital transformation without first understanding and improving your processes, you’ll simply digitize those inefficiencies..

Thorough Process Analysis

Before optimizing, you need to know what exists and how it works. That’s why we begin with a solid process analysis for our clients:

• We visually map out processes using BPMN. This helps provide a clear overview and makes it easier to spot gaps or redundant work.
• Through stakeholder interviews, we uncover what really happens on the work floor. Employees know the process in practice and often identify improvement opportunities you won't see on paper.
• Data analysis investigates lead times, error rates, and workload. Data either confirms what you hear in interviews - or reveals discrepancies.

Process Optimization

After the analysis, we determine which processes can be made smarter, faster, or simpler. This may include:

• Eliminating waste (Lean principle)
• Automating repetitive tasks
• Critically reviewing and redesigning process steps
• Shifting responsibilities or role distribution
• Simplifying and/or standardizing

A key rule of thumb: optimize first, then digitize. If a process doesn’t work well on paper, technology won’t fix it.

How Does Process Analysis Support Digital Transformation?

By analyzing and optimizing your processes beforehand, you create a solid foundation for digital solutions that do work. It clarifies which systems are needed, which integrations matter, and where automation delivers the most value.

It also generates support: employees feel heard and involved during the analysis phase and see the improvements reflected in their daily work. That kind of engagement is priceless when it comes to change.