The evolution both in the area of Process Management and Analytics has created an environment of abundant information that is easily generated and intuitively consumed. This trend allows a more dynamic, proactive and fast adaptation to the existing demands -or even undiscovered- of the market. It also requires that non-programmer executives get even closer to the field of Data Science. Technology leaders like us, support their users along their path of effectively making use of Data Science. With components such as BICI - Bonita Intelligent Continuous Improvement, Bonitasoft provides intuitive tools for analysts to carry out Process and Data Mining studies and launch actions, seeking the continuous optimization of processes within the BPMS platform. Kay Winkler, Director and Partner of NSI, and Delphine Coille, Evangelist and Community Manager at Bonitasoft, show a practical example of Process Mining in action. Look for more information about Process Mining: https://www.bonitasoft.com/bonita-intelligent-continuous-improvement

1. Role of data in business processes
Delphine Coille, Evangelist and
Community Manager at Bonitasoft
@CoilleDelphine
Kay Winkler, Director of NSI Soluciones
VP of Chapter Services at ABPMP
@KayBPM

2. What do we already use?
• Reports
• Indicators
• Business Activity Monitoring (BAM)
• Business Intelligence (BI partially)

3. How to align our BPM Data to the company’s strategy
Train of Thought:
• Variables -> KPIs -> BAM -> BI -> Predictive -> Pattern
Recognition
-> Big Data + RPA/Machine Learning...
• Variance vs. Average

4. The Big Differentiator of Big Data
Big scale data collection and usage
Use of crude and even unstructured
data (crude data > few data)
Correlation > Causality
Big Data determines the What?
and not the Why?

5. The growing Interest in Machine Learning

6. How to achieve all that with BPM?
External Repository: (ej. World Bank/Big Data)

7. A goal, a method, a tool, and a lot of data

8. • Goal : avoid delays
• Method : AI algorithm based on Process Performance Mining
• Tool : Bonita Intelligent Continuous Improvement and Elastic Search
• Data : Process and business data
Our solution for Intelligent Continuous Improvement
Operational business processes improvement
BICI

9. Personas
Patty
(Bonita Platform Administrator)
Dave
(Bonita Developer)
Omar
(Operations Manager)
Andy
(End user)
Bonita Intelligent Continuous Improvement:
Architecture

10. Domains of application
Relevant for all timeboxed processes
• Validation
• Multimodal travel
• Ticketing, support
• Delivery
• Complex projects

11. Specific Use case demo
Loan management in Banking area

12. • Useful in business contexts where the duration of an
execution is an important quality indicator
• “Augments” employee decision-making with data only
accessible through an AI algorithm
• Data Scientist
The unique value of Bonita Continuous
Intelligent Improvement
• Can be added to an existing production environment
• Predictions are available couple of hours after deployment

13. Bonita Intelligent Continuous Improvement v1.2
and beyond our research continues
• Statistics on task execution
• Decision support on best task assignment
• Heat maps on process execution. Detect flaws.
• Bring on the data
• Explain impact on case duration
• Enhance the algorithm for better accuracy
• More on business intelligence analytics
• Other predictions
• End of the trace for each case (quality of service)
• Technical errors or outages (robustness)

14. Q&A session
You ask, we answer!