Discover the evolving landscape of Process Intelligence, exploring insights from Forrester’s analysis and practical steps for implementation, shedding light on key methodologies for effective process management.
A new blog post of What’s Your Baseline was published on Nov 28, 2024 with the original title:
What Is Process Intelligence (and why should you care)?
Overview:
Process Intelligence is increasingly discussed as a critical component of effective business management, particularly through Process and Task Mining. This article clarifies its definition, highlights the core problems in process visibility, and explores various process analysis methods.
Core content:
- Process Intelligence is gaining attention due to its integration with Process and Task Mining, enhancing visibility into complex business operations.
- The Forrester definition emphasizes software for data analytics but overlooks the broader context and the human factors involved in decision-making.
- Identifying process issues often stems from a lack of visibility in non-physical processes, necessitating advanced analytics methods for improvement.
- New mining technologies facilitate comprehensive analysis of processes, mitigating subjective biases and improving decision quality.
- Various analysis techniques, including Business Intelligence, Six Sigma, and Lean, complement Process Intelligence in improving business processes.
Learnings:
- Readers will understand the essential definition and significance of Process Intelligence in modern business practices.
- The post outlines key problems organizations face in achieving process visibility and illustrates the critical role of technology in addressing these hurdles.
- Insights into how different analysis methods can be integrated to support effective Process Intelligence implementation are provided.
- Readers will learn about the importance of combining data-driven approaches with human insights for a thorough process analysis.
- The article emphasizes that effective Process Intelligence implementations should focus on visibility, analysis, and realistic execution of recommendations.
The original content was published in English.
