Globaldatalooker’s Post

𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐋𝐢𝐟𝐞𝐜𝐲𝐜𝐥𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 (𝐏𝐋𝐌) 𝐌𝐚𝐫𝐤𝐞𝐭 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬, 𝐓𝐫𝐞𝐧𝐝𝐬 𝐚𝐧𝐝 𝐃𝐲𝐧𝐚𝐦𝐢𝐜 𝐃𝐞𝐦𝐚𝐧𝐝 𝐛𝐲 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭 𝟐𝟎𝟐𝟒 𝐭𝐨 𝟐𝟎𝟑𝟑 Product Lifecycle Management (PLM) is a strategic approach to managing the entire lifecycle of a product, from inception through design, manufacturing, service, and disposal. PLM integrates people, processes, business systems, and information to create a comprehensive and unified product data repository. The PLM market is expanding rapidly due to the increasing complexity of products, the need for efficient collaboration, and the demand for accelerated time-to-market. Industries such as automotive, aerospace, electronics, healthcare, and consumer goods are significant adopters of PLM solutions. 𝐂𝐥𝐢𝐜𝐤 𝐇𝐞𝐫𝐞, 𝐓𝐨 𝐆𝐞𝐭 𝐅𝐫𝐞𝐞 𝐒𝐚𝐦𝐩𝐥𝐞 𝐑𝐞𝐩𝐨𝐫𝐭 https://lnkd.in/dDjByiWx 𝐊𝐞𝐲 𝐓𝐫𝐞𝐧𝐝𝐬: Digital Transformation and Industry 4.0 The rise of Industry 4.0 and digital transformation initiatives are driving the adoption of PLM solutions. These technologies enable seamless integration of PLM with other enterprise systems, such as ERP, MES, and CRM, facilitating end-to-end digital continuity. Cloud-Based PLM Solutions The shift towards cloud-based PLM solutions offers benefits such as reduced IT overhead, scalability, enhanced collaboration, and remote access to product data. Cloud PLM is particularly attractive to small and medium-sized enterprises (SMEs) due to its lower upfront costs. Integration of IoT and AI The integration of Internet of Things (IoT) and Artificial Intelligence (AI) with PLM systems is enhancing predictive maintenance, quality control, and product optimization. IoT provides real-time data from connected devices, while AI enables advanced analytics and decision-making. 𝐌𝐚𝐫𝐤𝐞𝐭 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧𝐬: Global Product Lifecycle Management (PLM) Market: By Company • Autodesk • Oracle • Aras PTC • SAP • Arena • Hewlett Packard Enterprise • Accenture • Siemens • DassaultSystems • IBM Global Product Lifecycle Management (PLM) Market: By #Type • Cloud-based • On-premises Global Product Lifecycle Management (PLM) Market: By #Application • Aerospace and Defense • Automotive and Transportation • Medical Devices and Pharmaceutical • Electronics and Semiconductors • Other ✅ 𝐅𝐨𝐥𝐥𝐨𝐰-Stringent Datalytics - Information Technology #ProductLifecycleManagement #PLM #DigitalTransformation #Industry40 #CloudPLM #IoT #ArtificialIntelligence #CollaborationTools #Sustainability #3DModeling

The Six Types of Digital Business Transformation 1. Process Transformation 2. Business Model Transformation 3. Cultural/Organizational Transformation 4. Customer Experience Transformation 5. Domain Transformation 6. Ecosystem Transformation © https://lnkd.in/eAY38rVt ☄️💻🌐 #Digital - #DigitalStrategy – #DigitalTransformation - #DigitalEnterprise - #DigitalEconomy ☄️💻🌐 #IIoT #IoT #DigitalTwin #Industry40 #MOM #MES #ERP #SmartFactory #COBIT #ITIL #ITSM #IT4IT #ISO27001 #ISO20000 #ISO #AI #GenAI #ArtificialIntelligence

🚀 Week 15: ERP (Enterprise Resource Planning) 🚀 Day 6: Current ERP Trends: AI, IoT, etc. 🔍 Ready to future-proof your business with cutting-edge technology? Today, we're diving into the latest trends shaping the future of ERP, including Artificial Intelligence (AI), Internet of Things (IoT), and more. 💡 AI-Powered Insights: Embrace the era of intelligent ERP. AI algorithms analyze vast amounts of data to uncover patterns, trends, and actionable insights, empowering businesses to make smarter decisions, automate processes, and drive innovation. 🌐 IoT Integration: Connect your ERP system with IoT devices to revolutionize your operations. From smart sensors on production lines to connected devices in warehouses, IoT integration provides real-time visibility, predictive maintenance, and proactive decision-making capabilities. 🚀 Cloud Adoption: Say hello to flexibility and scalability. Cloud-based ERP solutions offer anytime, anywhere access, rapid deployment, and automatic updates, enabling businesses to adapt to changing market conditions and seize new opportunities with ease. 📊 Predictive Analytics: Unlock the power of foresight with predictive analytics. By leveraging historical data, machine learning algorithms, and statistical models, ERP systems can forecast future trends, anticipate customer needs, and optimize resource allocation. 🛠️ Automation & Robotics: Transform your workflows with automation and robotics. From robotic process automation (RPA) to autonomous vehicles in warehouses, ERP systems orchestrate seamless interactions between humans and machines, boosting productivity and efficiency. 🔒 Cybersecurity & Privacy: Safeguard your digital assets in an increasingly interconnected world. ERP systems integrate robust cybersecurity measures, encryption protocols, and data privacy controls to protect sensitive information and mitigate cyber threats. ✨ Innovation Mindset: Embrace a culture of innovation and experimentation. By staying abreast of emerging technologies and industry trends, businesses can continuously evolve, adapt, and thrive in an ever-changing landscape. 🔑 Key Takeaway: The future of ERP is here, and it's brimming with possibilities. By embracing AI, IoT, cloud technology, and other innovations, businesses can unlock new levels of efficiency, agility, and competitiveness. Stay tuned as we conclude our exploration of ERP trends tomorrow! #ERP #AI #IoT #CloudComputing #digitaltransformation #industry40

Digital transformation uses modern tech—like Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), AI, and IoT—to streamline operations, improve decision-making, and deliver more value. But true business transformation goes deeper, requiring strategy shifts and structural changes. 🔎💡 ✅ Success lies in combining both, as new technologies often demand cultural and workflow adjustments to unlock their full potential. Read more: https://zurl.co/5hHf #WhereTodayMeetsTomorrow #DigitalTransformation #EnterpriseResourcePlanning #CustomerRelationshipManagement #AritificialIntelligence #IoT #BusinessTransformation engineering.com Lionel Grealou (グレアルー・リオ)

𝗙𝗿𝗼𝗺 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝘁𝗼 𝗔𝗜: 𝗧𝗮𝗸𝗶𝗻𝗴 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀 𝘁𝗼 𝘁𝗵𝗲 𝗡𝗲𝘅𝘁 𝗟𝗲𝘃𝗲𝗹 𝘄𝗶𝘁𝗵 𝗦𝗔𝗣 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴 𝗖𝗹𝗼𝘂𝗱 (𝗗𝗠𝗖)⁣ ⁣ AI and machine learning are advancing automation by allowing companies to move from reactive to proactive processes. SAP Digital Manufacturing Cloud (DMC) combines shop-floor data with ERP systems, helping teams detect issues before they impact production.⁣ ⁣ 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗼𝗳 𝗔𝗜 𝗮𝗻𝗱 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗶𝗻 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻⁣ ⁣ Enhanced Predictive Maintenance:⁣ SAP DMC captures and analyzes data from IoT sensors, flagging patterns that predict equipment failures. Teams can act fast to keep production running smoothly.⁣ ⁣ Seamless Data Integration:⁣ DMC connects data across systems, creating a unified view of operations. This lets you make informed decisions and adjust in real time.⁣ ⁣ Operator Support and Customizable Dashboards:⁣ DMC’s dashboards give operators an intuitive view of tasks, including 3D models and work instructions. This visual clarity speeds up problem-solving and reduces errors.⁣ ⁣ 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗜𝗺𝗽𝗮𝗰𝘁: 𝗠𝗼𝘃𝗶𝗻𝗴 𝗧𝗼𝘄𝗮𝗿𝗱 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁𝘀⁣ ⁣ In my work with SAP DMC, I’ve seen how predictive insights improve quality and efficiency across various sectors, from discrete to process manufacturing. With DMC, integrating data between ERP and the shop floor supports real-time decisions and long-term planning.⁣ ⁣ 𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻⁣ With SAP DMC, you gain the tools for proactive maintenance, quality improvement, and smoother processes. AI and machine learning offer actionable insights that drive efficiency.⁣ ⁣ What’s your experience with integrating AI into automation? Let’s connect and exchange ideas.⁣ ⁣ #SAPDM #AI #MachineLearning #IndustrialAutomation #PredictiveMaintenance #ProactiveAutomation⁣ ⁣

How is the industrial software market changing? https://lnkd.in/dJcaSnYM The latest analysis by IoT Analytics of 14 industrial software categories shows a robust market with several interesting dynamics. Here are some key takeaways: ✔ Growing market despite weak macro The market continues to grow at low double digits, despite a challenging manufacturing environment. Manufacturers’ ongoing investments in digital lead us to believe the market could reach $355B by 2030. ✔ Cloud services for manufacturing: the fastest-growing software category. Cloud infrastructure and services are the fastest-growing segment, reaching $32.7B in 2023. ✔ Cloud and SaaS adoption is growing Cloud-based solutions are on the rise, with many vendors now reporting between 20% and 40% of customers in the cloud, and this trend is accelerating. (Examples: SAP: 41%; Dassault Systèmes: 24%). ✔ PLM is growing in importance Product lifecycle management software led growth among core value chain tools over the past two years, but EDA could soon overtake it. ✔ Market leaders in fastest-growing segments are gaining share Microsoft, Oracle, Synopsys, and Cadence are among the companies that have gained the most market share since 2021. ✔ Generative AI seen as a differentiator Nearly all industrial software vendors (88%) have introduced GenAI-based features as part of their offerings and see this as a key differentiator going forward. However, it remains to be seen who will succeed in truly setting themselves apart. --> In my view, the most successful vendors in the coming years will be those that focus on cloud and edge deployment flexibility, create end-to-end solutions that break boundaries, and effectively leverage AI on proprietary data in ways that competitors cannot easily replicate. Do you agree? 🔗 For a deeper dive, check out my latest blog: https://lnkd.in/dJcaSnYM #industrialsoftware #cloudcomputing #AI #SaaS #manufacturing #digitaltransformation #marketresearch

Transforming Your Business with PTC Windchill: More Than an #IT Initiative In today’s competitive landscape, businesses must do more than adapt—they must transform. At the heart of this transformation is Windchill, a PTC Technology, a powerful #PLM (#ProductLifecycleManagement) solution that connects the dots between PLM, #IoT, and #IIoT to create a truly #connectedenterprise. But here’s the key 🗝️: this isn’t just an IT initiative—it’s a business #strategy. What does a connected enterprise mean for your business? 🔗 End-to-End Visibility: Windchill bridges design, #manufacturing, and #operations, enabling seamless collaboration across departments, geographies, and the extended #supplychain. 📊 #Data-Driven Decision-Making: By integrating IoT and IIoT capabilities, businesses gain real-time insights into product performance, allowing for proactive improvements and innovation. ⚙️ #OperationalEfficiency: From #DigitalTwins to #PredictiveMaintenance, the combined power of PLM and IIoT ensures your products and processes are optimized like never before. 🌍 #Sustainability and #Compliance: Windchill helps manage complex regulatory requirements and track environmental impacts, ensuring your business is future-ready. Why it matters: #️⃣ This is not just about deploying technology. It’s about redefining how businesses operate, innovate, and compete. With Windchill at the core, companies in industrial high-tech, retail, medical devices, and beyond can unlock new levels of agility, efficiency, and value creation. If you’re ready to stop treating PLM, IoT, and IIoT as standalone tools and start viewing them as strategic enablers, the transformation you achieve won’t just impact your IT department—it will shape your entire business. Let’s discuss how your organization can become a truly connected enterprise. Reach out to me or any member of the Kalypso: A Rockwell Automation Business team if you’d like to explore this journey together! Dave Hadfield Van Gresham Rod Walters Sudarshan Nagaraj Jason Milo https://lnkd.in/efQydbQp

Digital Transformation ❓❓ Digital transformation is a strategic decision involving integrating digital technology into all business areas to deliver better outcomes. The main technologies involved are: ⚪Artificial Intelligence (AI): Using smart systems to automate decision-making and improve customer interactions. ⚪Data Analytics Tools: Using data to gain insights and make better decisions. ⚪Customer Relationship Management (CRM) Systems: Improving how businesses manage and interact with customers. ⚪Enterprise Resource Planning (ERP) Systems: Integrating and streamlining core business processes. ⚪Internet of Things (IoT): Connecting devices to collect and analyze data for better efficiency. ⚪Cloud Computing:Using internet-based services for flexible and scalable IT resources. To ensure the success of a digital transformation project, organizations should focus on two key areas: 1. Technology: ◾Purpose and Goals: Clearly define the purpose of the transformation and set realistic goals that align with the budget and available resources. ◾Competence: Assess and leverage the team's technical competence to ensure the chosen technologies are implemented effectively. 2. Culture: ◾Training and Support: Provide comprehensive training and ongoing support to help employees adapt to new technologies and processes. ◾Change Management: Implement robust change management practices to smoothly guide the organization through the transformation. ◾Communication: Maintain clear and open communication to ensure all employees understand the changes and are on board with the transformation. ◾Continuous Improvement: Foster a culture of continuous improvement to keep up with evolving technologies and market demands. #digitaltransformation #AI #ERP #cloudcomputing

Overcoming Challenges in Adopting #Servitization The shift to servitization—moving from product-based sales to service-based offerings—has enormous potential. It opens up new revenue streams and strengthens customer relationships. But, adopting this model also presents significant challenges. Here’s a guide to navigating these challenges and making the right choices for your business. 1. Cultural Shift and Organizational Buy-In Transitioning to a service-driven model requires more than just a new strategy; it often calls for a cultural shift. Teams accustomed to selling “products” may resist moving to selling “services.” #Solution: Engage leaders early and create training programs that highlight the long-term benefits of servitization. 2. Choosing the Right Subscription Model With options like pay-per-use, recurring fees, solution selling, dynamic pricing etc., selecting the right model can be challenging, especially if your company is new to service pricing. #Solution: Involve business strategy consultants early on to help identify the best approach. Learning from companies that have successfully adopted new subscription models can also prevent common missteps. 3. Prioritize IoT Over Product-Only Enhancements While investing in R&D to improve physical products is important, focusing on IoT comes with a lot of advantages. It not only meets the rising demand for digitalization and enables the monitoring of equipment parameters to ensure service uptime, but it also provides valuable data on equipment usage. This data can be used to tailor subscription products to customer needs and make targeted improvements to physical products. #Solution: Implement IoT solutions that capture usage data, helping you refine both service offerings and product design. 4. Invest in the Right Technology Infrastructure Supporting new business models requires a robust technology. SAP offers solutions like SAP BRIM, which is designed to handle high data volumes, complex product bundling and pricing models, and flexible invoicing processes. It also integrates seamlessly with service and logistics modules, making it an ideal choice for EaaS business offerings. #Solution: Choose a flexible system that helps ensure smooth operations as your business grows and adapts easily to evolving customer needs. What’s Your Take on Servitization? Is your company exploring or already on this journey? Share your challenges and successes in the comments, or connect for more insights!

"Digital transformation is a mindset shift before a technology shift." - Simon Sinek As I was exploring some SAP digital manufacturing and digital transformation topics I came across an interesting concept of the digital twins. I liked the very concept and the idea of having the exact digital replica of any process, product, component, system and including a twin for a human body. I felt it like reading a science fiction😊. There are lots of technologies involved behind the scenes and integrations to realize a digital twin and how they can revolutionize the business processes across the industries. Here is a quick summary of what I learnt on this fascinating and future technology evolution topic.Only for reference and foundational understanding of the digital twins technology. As always - Happy learning 😊!! #digitaltransformation #data #analytics #sapconsultants #cloudcomputing #iot #iiot #leadership #manufacturing #digitaltechnologies #industry4 #productionengineering #datavizualization #AI #ML #mechanicalengineering #productdevelopment #PLM #productlifecycle #operations #engineering #digitaltwin #technology #innovation