Building trust in Your Process Mining Journey Observables of Pirates & Heroes
Dr. Daniel Lubos Celosphere Live Contents
Process Mining Trust & Control Organization
Automation Transform Forecast Human Currency Music Score
What to focus on?
Vincenzo Bellini (1801 – 1835) La Sonnambula Perspective of an Enterprise
Board
Inputs Outputs
Inputs Outputs
Inputs Outputs
Group IT
Skill Set // Department What is the Process Transformation music? Board
Inputs Outputs
Inputs Outputs
P2P / APX Inputs Outputs
Group IT
Skill Set // Department Vincenzo Bellini (1801 – 1835) Process Transformation La Sonnambula
Relations
Inputs Outputs APX
P2P Inputs Outputs PPX
Inputs O2C Outputs
Resources
Skill Set // Department Vincenzo Bellini (1801 – 1835) Process Mining La Sonnambula
Relations
Inputs Outputs APX
P2P Inputs Outputs PPX
Inputs O2C Outputs
Resources
Skill Set // Department Pirates The Plansee Group
Who is?
D. Lubos | IT Data Science MolybdenumMining & Tungsten:-to Strong- Miningmetals for a high-tech (M2M) world Bild Rohstoff (Stein)
D. Lubos | IT Data Science Molybdenum & Tungsten: Strong metals for a high-tech world Alternativbild Pulver
D. Lubos | IT Data Science Molybdenum & Tungsten: Strong metals for a high-tech world D. Lubos | IT Data Science Molybdenum & Tungsten: Strong metals for a high-tech world Product Portfolio – 50,000+
D. Lubos | IT Data Science Molybdenum & Tungsten: Strong metals for a high-tech world • Hier folgt eine Folie mit einer Bildcollage verschiedener Endprodukte: Lampe (Halogen), Felge, Display, Smartphones, Computer/Tablet, Computertomograf, Umspannwerk
D. Lubos | IT Data Science Molybdenum & Tungsten: Strong metals for a high-tech world Cumpas, Mexico Alserio, Italy Bangalore, Indien Franklin, MA, USA Balzheim, Germany Esashi, Japan Mejillones, Chile Besigheim, Germany Mysore, Indien Querétaro, Mexico Bitterfeld, Germany Sakura, Japan Rancho Dominguez, CA, USA Bruntál, Czech Republic Seoul, Korea Sacramento, CA, USA Creutzwald, France Shanghai, China Santiago de Chile, Chile Empfingen, Germany Taicang, China Schaumburg, IL, USA Gabrovo, Bulgaria Tamsui, Taiwan Towanda, PA, USA Ghent, Belgium Tianjin, China Vista, CA, USA Hitzacker, Germany Uluberia, India Warren, MI, USA Idar-Oberstein, Germany Wugu, Taiwan Jyväskylä, Finland Xiamen, China Kedzierzyn-Kozle, Poland Zhangzhou, China Kempten (logistics), Germany Landsberg (Lech), Germany Lechbruck, Germany Plansee Holding AG Liezen, Austria Livange, Luxembourg Mamer, Luxembourg Niederkorn, Luxembourg Puchheim, Germany Reutte, Austria Seon, Schweiz St. Pierre en Faucigny, France Stuttgart, Germany
D. Lubos | IT Data Science Molybdenum & Tungsten: Strong metals for a high-tech world Business Uncertainty Our Goal is?
Resource Analytics Architecture
Looking for what? Analytics Architecture
▪ One login for any system ▪ Central authorization management ▪ Meta data management
Process Hub ▪ Process integration ▪ Centered at the process Data Hub hub
Connector User A Analytics Architecture User B Bot 3 ▪ One login for any system ▪ Central authorization management Bot 5 Bot 4 ▪ Meta data management
Bot 2 Bot 6 Service 2 User C Process Hub ▪ Process integration ▪ Centered at the process Service 3 Data Hub hub Service 1 Bot 1 Connector Cycle Times - Benchmark & Evaluate
WC01 WC02 WC03 WC04
PG1 PG2 PG3 PG4 PG5 PG6 PG7 PG8 PG9 PG10 PG11 PG2 Cycle Times - Benchmark & Evaluate
WC01 WC02 WC03 WC04
PG1 PG2 PG3 PG4 PG5 PG6 PG7 PG8 PG9 PG10 PG11 PG2 Data Products
„The pure gold in your data“ Business Insights Input Output
Data Analysis Data Sources Product
• Condensed report • New Product! • Value added • High risk data The Process Owner manages a specific process demand and Process analytics requests across all Authori- departments within a division. 3D Security zation He/She developes process KPIs and defines measures. He has to Process request the usage of data / analytics Owner at the corresponding owners
The Data Owner is responsible for the generation of data, the cost of Data generated data, data quality and Authori- The Analytics Owner is responsible he/she does exactly know who is zation for his scope of analytics products using which data for which purpose Analytics derived from Group data. within the data scope of the data Authori- The analytics owner requests data Data owner Owner zation authorization from the corresponding data owners. The analytics Analytics ownership can be across processes. Owner Organization & Structure
Board Group IT
Depart- ments Organization & Structure
Data Science
PROCESS KEY Board OWNERS USERS Group IT
Depart- ments Dashboard Types
Engineered Tools & Helpers Machines
• Organization-wide • Centralized • User Training min • Super Users • Reporting hours • Research • Daily Business • Data Preparation • Change Management • On-Demand
Interaction Rate Operational Explorative Idea-to-Value
technical business
Authori- Process zation Validation Process Dashboard Measures Evaluate Connection Validation Provision- Dashboard ing Dev Use Case Discussion
Process Architect // Developer Process Owner // Experts Experts // Stake- holders Idea-to-Value
technical business
Authori- Process zation Validation Process Dashboard Measures Evaluate Connection Validation Provision- Dashboard ing Dev Use Case Discussion
Process Architect // Developer Process Owner // Experts Experts // Stake- holders Idea-to-Value
technical business
Authori- Process zation Validation Process Dashboard Measures Evaluate Connection Validation Provision- Dashboard ing Dev Use Case Discussion
Process Architect // Developer Process Owner // Experts Experts // Stake- holders Project Planning
Manufact- Data Requirement Budget Negotiation Installation Testing uring Integration Proof-of- As Is Status Cost Training Configuration Concept Risk S14
4 +2 +2 +2 +1 +1 +2 1 month 1 month 1 months 3 months 1 month 1 month > 1 week
Est. Project Head Count Robots & Machines
Skills
Robot Input Function(){ Action while (a<1) r=(a 1 A 2 B Engine 3 C Environment / Ecosystem Project Planning Manufact- Data Requirement Budget Negotiation Installation Testing uring Integration Proof-of- As Is Status Cost Training Configuration Concept Risk S14 4 +2 +2 +2 +1 +1 +2 1 month 1 month 1 months 3 months 1 month 1 month > 1 week ? ? ? ? ? ? ? Use Case Process Analytics Budget Validation Enablement Discussion Connection Release Dashboard Cost Dev Risk Est. Project Head Count The Flight Map The Enablement Cycle Prepare Enable + New Use Case/s Documentation Definition, Meetings Distribute Implementation, Modify Communicate Observation, Analyze Marketing Results Hands-on work + New Key User + Process Owner Business Uncertainty Business Uncertainty Trust or? control? Business Uncertainty DTrust • DControl ~ Const. Business Uncertainty DTrust • DControl ~ Const. Motivation • Skillset Simplicity • Speed Security • Evolution Pressure • Productivity Processes • Responsibility Communication • Structure Science Concepts Optimization Processes Discrete & Continuous Hero Robots & Automotive Car body Engine Components Dashboard Seats Final Inspection (Rework) Process Automation What actually is the product? Requisition Order Receipt Delivery Invoice Clear (Return) Process Automation Business Process Documentation Requisition Order Receipt Delivery Invoice Clear (Return) Process Automation Delivery Warehouse Accounting Tax Reporting Quality Supplier Partner Customer User Production Production Planning 1 Plant 1000+ Activities Happy Connections Production Planning + authorize + conversion + customizing Confirmation Mult. Ord. / Op. Operation Recurring Op‘s Items Production Master Orders Header Production Planning 1 Work Center 1 Plant + authorize + conversion + customizing Confirmation Mult. Ord. / Op. Operation Recurring Op‘s Items Production Master Orders Header Production Planning 1 Work Center 1 Plant + authorize + conversion + customizing Confirmation Mult. Ord. / Op. Operation Recurring Op‘s Items Production Master Orders Header Production Planning 1 Work Center 1 Plant + authorize + conversion + customizing Confirmation Mult. Ord. / Op. Operation Recurring Op‘s Items Production Master Orders Header Cycle Times - Benchmark & Evaluate WC01 WC02 WC03 WC04 PG1 PG2 PG3 PG4 PG5 PG6 PG7 PG8 PG9 PG10 PG11 PG2 Idea-to-Value Dashboards realized by interns 4 Dashboards // 5 KPIs // Various Analytics Components 1 week Sources Process Understanding Design Working Hard Why? Working Hard 50,000+ Products Thank You Ready for Q & A You are awesome!