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Nagarro — IPO Roadshow (November 2022)
52 slides from Nagarro's IPO roadshow presentation, Nov 23, 2022
Slide 1: #ThinkingBreakthroughs Innovation Roadshow powered by Google Cloud and Nagarro
#ThinkingBreakthroughs Innovation Roadshow powered by Google Cloud and Nagarro Google Cloud | @®
Slide 2: Even a blind squirrel finds a nut once in a while
“Even a blind squirrel finds a nut once in a while.”
Slide 3: Your top reasons for becoming a data driven enterprise
Your top 10 reasons becoming a data driven enterprise
Slide 4: Top reasons, compared to the EY survey
Top 10 reasons, compared to the EY survey 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% To understand customers better 72% To improve products and services 90% To improve the management of existing data 63% To create new revenue streams 67% It is a necessity for our business model 54% To monetise exis
Slide 5: Top reasons of this Group
Top 10 reasons of this Group To improve products and services For better management of governance, risk and compliance To understand customers better To create new revenue streams To improve the management of existing data To become leaner - improve internal efficiencies To improve the detection and
Slide 6: On data of a recent EY survey
on data of a recent EY survey 81% of respondents agreed that data should be 50% of respondents are concerned about 69% of them continue to manage their at the heart of all decision-making the quality and consistency of their big data projects in-house data
Slide 7: On data of a recent EY survey
on data of a recent EY survey 41% of respondents recognized the importance 31% of companies have significantly 23% of organisations have implemented of‚ cross-functional working‘ for delivering restructured their operations to an organization-wide data strategy successfull big data projects incorpor
Slide 8: On data of a recent EY survey
on data of a recent EY survey 5-6% Companies adopting Data Driven Decision making (DDD) have an output and productivity that is 5-6% higher than what would be expected given their other investments and information technology usage
Slide 9: In today's VUCA world
In todays VUCA world Customer digital expectations, IoT everywhere, new Products Margin pressures and the need for new revenue, expensive sourcing disruptive Market trends Supply chain disruption due Worker shortages and COVID pandemic, climate and to the pandemic, uncertain the digital talent gap f
Slide 10: Maturity Levels 1 to 3
Level 3 5% Level 2 Consistent Quality 10-15% Speed to Value Level 1 Consistent Quality Continuous Value Delivery 75-80% Speed to Value Consistent Quality Continuous Value Delivery Speed to Value Continuous Value Delivery
Slide 11: What do you think is the maturity level of your organisation?
What do you think is the maturity level of your organisation?
Slide 12: Which maturity level applies to your enterprise
which maturity level applies to your enterprise
Slide 13: What is possibly holding you back
What is possibly holding you back
Slide 14: Skills: self-taught versus continuous learning culture
Needed skills are self-taught and best-effort, with dependence on a 3rd party. A culture of continuous learning, from peer to peer, while using 3rd parties for staff augmentation only. building up a center of excellence, no blaming culture. Build up roles like RPA ambassador or data ambassador throu
Slide 15: Change and decisions based on poor versus full data
Change is slow and risky, decisions are often based on poor data and therefore error prone. Change is frequent and lower risk, decisions are made using all needed information which is easily accessible throughout the whole enterprise, so they become more profound and less risky.
Slide 16: Legacy services versus managed services
Relying on legacy services and software. Spending most time on maintenance and configuration. Utilizing ready to use, maintenance free, managed services. Free up time for generating Business value. Focusing more on the idea and les on the tooling.
Slide 17: Departmental data silos versus innovation culture
Data is often strictly bounded on departments and roles. Management and decision making goes by tribal knowledge and gut feeling slow to no innovation Think 10x, drive innovation and no blaming culture, enable people to be prepared for the opportunity, give them the tools and data to explore and fin
Slide 18: Your target picture
Your target picture Quality DataOps mindset
Slide 19: Four major focus areas longterm
four major focus areas longterm... “Culture eats strategy for The data strategy highlights how Before implementing think Only one in five employees breakfast”. Think about how data supports your overall about how they will support believe their employer is your organizational culture business object
Slide 20: Customer, Product, IT
Customer Product Production IT Supply chain management Product development Financials
Slide 21: Manufacturing Data Engine and analytics architecture
Digital Twin Machine- Manufacturing Predictive Root Cause Inline Quality Visualization & Visual Inspection AI level Anomaly Analytics & Insights Maintenance Identification Control Simulation Detection 3 Analytics 4 AI-Driven Operations Optimization Data Engine API 1 Private & secure connectivity Dat
Slide 22: Computer vision and machine learning for defect detection
Top-ranked Computer Vision and Machine Learning capabilities of Google to detect tiniest defects at an unprecedented accuracy and scale. Manufacturing •Surface defect: scratch, dent, crack, split, paint failure, debris •Process conformance: weld size and shape, adhesive presence WIP Assembly •Confor
Slide 23: Pre-built predictive maintenance ML models
With Google Cloud’s pre-built predictive maintenance ML models you can deploy a solution in weeks without compromising on prediction accuracy. Continuous improvement •Refine your models in collaboration with Google Engineers to ensure value is delivered quickly •Direct integration with Manufacturing
Slide 24: In-line quality control across production lines
Monitor in-line quality control across your production lines by aggregating sensor and visual data, and simulating parameter changes for optimization: Combine inspection visual data with in-line sensor data •Leverage inspection imaging data, to detect and flag quality issues throughout the productio
Slide 25: In-Store Navigation and Location-Based Marketing
In-Store Navigation Monitoring & Location-Based Analytics Marketing Supermarket Summer Sale 50% off barbecue sauce With real-time positioning and optimal In 1m/3ft resolution, programmed upon On foot traffic, operational efficiency and route planning through multiple entry/exit/linger or consequent
Slide 26: Optimize Customer Journey
Optimize Customer Journey Hi, how can I help? Traveler books travel for a Traveler is provided with an Traveler arrives at the port and check-in via Traveler searches for ferry boats and ferry with (your company) via option to update trip details and mobile app to reduces gets guided to (your compan
Slide 27: Short term
short term Scale up to entire product family Configure and deploy solution to Cloud. Connect product, train AI model, and build MVP application. Define intelligent products use case & architecture for MVP
Slide 28: Thank you
Thank you Google Cloud | @®
Slide 29: #ThinkingBreakthroughs Innovation Roadshow
#ThinkingBreakthroughs Innovation Roadshow powered by Google Cloud and Nagarro Google Cloud | @®
Slide 30: Innovation challenge link
https://go.nagarro.com/innovationchallenge
Slide 31: IT/Digitalization @Miba AG
IT/ Digitalization @Miba AG DIGITAL Ly, IT/Digitalizati @ | QB ron | Pernt
Slide 32: Oliver Hierschläger contact details
Oliver Hierschläger Mail: oliver.hierschlaeger@miba.com Phone: +43 664 88333621
Slide 33: Agenda
Agenda 1 2 Culture Strategy Toolset Data Literacy 3
Slide 34: Who we are
Who we are Sinter Founded by Franz Mitterbauer 1927 in Laakirchen, Upper Austria Friction 7.500 colleagues worldwide Coatings Core business: Development and production of components along the energy value chain Power ~1bn EUR Revenue in 2022/23 Electronics Among Austria’s leading industrial and tech
Slide 35: What we aspire to be
Technologies for a cleaner planet What we aspire to be
Slide 36: Our core customer industries
Components along the entire value chain Our core customer industries Energy Energy Energy Energy Generation Transmission Storage Use
Slide 37: Our Vision
Our Vision We want to become the digital industrial leader in niches along the entire energy chain by digitalizing our core processes digitalizing Miba products developing digital business models
Slide 38: House of Digital Transformation
Our House of Digitalization frames our digital transformation strategy House of Digital Transformation Strategy Digital transformation strategy Platform economies Manufacturing efficiency Ind. component marketplaces Second life battery mgmt. Smart manufacturing Automation of inhouse logistics AM mic
Slide 39: IT/D as the core of our digital transformation
Our House of Digitalization frames our digital transformation strategy IT/D as the core our our digtal transformation Digital transformation strategy Platform economies Manufacturing efficiency Ind. component marketplaces Second life battery mgmt. Smart manufacturing Automation of inhouse logistics
Slide 40: Our Mission
Our Mission IT/Digitalization is an integral part to Miba’s short and long term success. We are a competitive differentiator in Miba’s Go-to-Market, by o being committed to our agile mindset and our design criteria: closeness, speed and flexibility o being a truly global and diverse network organisa
Slide 41: Our global IT/Digitalization Organization
One Team across the globe Our global IT/Digitalization Organization
Slide 42: Our organizational chart
Culture Our organizational chart CFO / CIO CISO Divisions HC topics Business Partners People Divisions Coaches Coach Digital Product People Coach / Change Captain Innovation Hub & ITD Strategy Teams Innovation Hub Team Enterprise Agile Architects Masters Operational topics Coach Enterprise Coach of
Slide 43: Our IT/D Products
Partnering with our MIBA sites and our customers Our IT/D Products Factory Office Foundation Quality Inspection & ML Digital Workplace Infrastructure Platforms EHS & Maintenance & Quality Finance & Controlling IT Compliance, Risk and Security Frontline Shopfloor Solutions Human Capital Service & Dev
Slide 44: Basis: Capabilities to enable digital transformation
Our House of Digitalization frames our digital transformation strategy Basis: Capabilities to enable digital transformation Digital transformation strategy Platform economies Manufacturing efficiency Ind. component marketplaces Second life battery mgmt. Smart manufacturing Automation of inhouse logi
Slide 45: We identified 5 capabilities
Our House of Digitalization frames our digital transformation strategy Toolset We identified 5 capabilities Digital transformation strategy Platform economies Manufacturing efficiency Ind. component marketplaces Second life battery mgmt. Smart manufacturing Automation of inhouse logistics AM micro f
Slide 46: Digital Innovation Hub to house first capabilities
We launched our Digital Innovaition Hub in 2022. Digital Innovation Hub to house first capabilities Capabilities Business Continuous Data Quick validation Fast scaling model adoption monetization innovation © Miba AG 16
Slide 47: Our Digital Innovation Funnel helps us kill it or scale it
Kil it or scale it. Our Digital Innovation Funnel helps us to “kill it or scale it” OUT 0 1 2 3 OF4S CO P E Orientation Ideation Prototyping MVP Scaling Artifacts Ideation Prototype MVP Scaling MVP to Problem to Idea Idea to Concept Concept to Prototype Prototype to MVP Backlog Backlog Backlog Backl
Slide 48: Smart Bearing System
Smart Bearing System We deliver powerful engine insights by equipping bearings with wireless, self-powered sensors.
Slide 49: The IIoT Enabled Bearing System
Technologies for a cleaner planet The IIoT Enabled Bearing System Bluetooth Bearings are significant components, when low energy it comes to assessing the performance of a sensor variety of critical parts. We identified that by monitoring bearings we can deliver data that has big impact on decisions
Slide 50: Schematic description of solution idea
Technologies for a cleaner planet Schematic description of solution idea Customer Bluetooth low energy transfer to cloud recommend actions data data storage science local monitoring & control system MIBA – already existing + patent registered Customer Application Not in scope Scope of this innovatio
Slide 51: What we aspire to be
Technologies for a cleaner planet What we aspire to be
Slide 52: #ThinkingBreakthroughs Innovation Roadshow
#ThinkingBreakthroughs Innovation Roadshow powered by Google Cloud and Nagarro Google Cloud | @®