Lilly Tech Systems
Process Mining Best Practices
Master the strategies for successfully rolling out process mining across the enterprise, driving organizational adoption, and building a continuous improvement culture.
Enterprise Rollout Strategy
Start with a Lighthouse Process
Choose one high-value, well-understood process for your first implementation. Order-to-Cash and Procure-to-Pay are popular starting points because they have clear KPIs and executive visibility.
Secure Executive Sponsorship
Process mining findings can be politically sensitive. Ensure executive backing before revealing process inefficiencies to protect the initiative and drive action on findings.
Build a Center of Excellence
Establish a dedicated team that develops process mining expertise, maintains the platform, and supports business units in adopting process intelligence capabilities.
Scale Horizontally
After proving value with the first process, expand to adjacent processes. Build reusable connectors, templates, and best practices to accelerate each subsequent deployment.
Embed in Operations
Move beyond project-based analysis to continuous process monitoring. Integrate process mining into daily operations, performance reviews, and improvement programs.
Data Quality Best Practices
| Challenge | Impact | Solution |
|---|---|---|
| Missing Events | Incomplete process models | Validate event completeness per source system; add manual touchpoints |
| Inconsistent Naming | Fragmented process views | Create activity name standardization rules and mapping tables |
| Timestamp Issues | Wrong sequence and duration | Normalize timezones; handle batch timestamps; validate chronology |
| Case ID Gaps | Cannot link events across systems | Build cross-system case correlation using business keys |
Continuous Improvement Framework
Monitor Continuously
Set up automated KPI tracking and alerting for all mined processes. Detect performance degradation, emerging bottlenecks, and compliance drift in real time.
Quantify Improvements
Measure the before-and-after impact of every process change. Use process mining data to calculate time savings, cost reductions, and quality improvements.
Share Insights Broadly
Create process intelligence dashboards for different audiences. Executives need strategic KPIs, managers need operational metrics, and teams need daily performance data.
Iterate and Evolve
Process mining is not a one-time project. Continuously refine models, add new data sources, and expand coverage as the organization's process maturity grows.