The State of Process Analysis: Spreadsheets vs. Automated Process Mining

August 16, 2024

 

Optimized processes drive operational efficiencies. Yet, despite the availability of cutting-edge tools to analyze and improve processes, many organizations continue to rely on outdated methods. To understand the current trends and challenges in process analysis, Decisions recently conducted a LinkedIn survey that tapped into a diverse pool of professionals from IT services, healthcare, finance, and even armed services. The findings were eye-opening and revealed a stark contrast between those clinging to manual spreadsheets and those embracing more advanced, automated solutions. 

Key Findings

The results showed that a significant portion of organizations still rely on manual spreadsheets for their process analysis and improvement needs. This approach, while familiar, comes with its own set of challenges, including a lack of real-time data, potential for human error, and limited scalability.

 

 

Manual Spreadsheets Dominate: A striking 47% of respondents indicated that they use manual spreadsheets for process analysis. This method, though widely used, is often cumbersome and can hinder an organization’s ability to optimize processes efficiently. 

The Shift Towards Advanced Tools: Interestingly, 24% of the survey participants reported using traditional process mapping tools, while another 24% have adopted advanced analytics or process mining solutions. These figures suggest a growing awareness of the need for more sophisticated tools to handle complex process analysis tasks. 

No Formal Process Analysis: A small segment, representing 6% of respondents, admitted to having no formal process analysis method in place, revealing that most organizations recognize the importance of process mining to help evaluate and optimize processes and few are willing to risk doing nothing. This also highlights an opportunity for these organizations to explore more structured approaches to process improvement. 

Conclusion

The survey results underscore a significant reliance on manual methods for process analysis across industries. However, there is a noticeable shift towards adopting advanced tools, indicating a growing recognition of the benefits that come with more automated and intelligent solutions. 

As organizations continue to evolve, the need for efficient, scalable, and accurate process analysis tools becomes increasingly critical. Without visibility into processes, it is difficult to know not only how to optimize them but also what processes should be automated. Using a process mining tools like Decisions helps: 

  • Reduce ineffective and tedious manual analysis 
  • Enhance process transparency  
  • Identify opportunities for automation and improvement 
  • Reveal process bottlenecks 
  • Provide actionable insights based on real-time data 
  • Improve compliance 

Learn more about Decisions Process Mining and transitioning from outdated methods to an innovative solution that drives meaningful improvements in process efficiency and overall performance. Or contact us to see our process mining solution in action. 

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