Systems Engineering Integration Techniques

ERP Projects Fail for Many Reasons. Ignoring Integrations is the Fastest Way to Doom One. Too often, ERP projects run over budget, take too long and fail to deliver. The culprit? Overlooked integrations. I see this mistake all the time. Companies focus on ERP functionality but forget that no system operates in isolation. Data flows, third-party systems, and automations must be planned from day one—not as an afterthought. That’s why I put together a no-nonsense whitepaper on how to make ERP integrations work instead of becoming a hidden pitfall. 5 Practical takeaways from the whitepaper: 1. Define all data flows at project kickoff – Document dependencies between systems early. Surprises later = delays & cost overruns. 2. Master data first, transactions second – Sync customers, vendors, and products first. If your master data is broken, transactions will fail. 3. Set a realistic integration timeline – Sync integration tasks with ERP rollout. If integrations are late, the entire project stalls. 4. Test with real data, not fake records – Your ERP test system should mirror production. Otherwise, the first real transaction is your actual test. 5. Make integrations visible – Use visual mapping tools to align teams, avoid assumptions, and ensure all critical systems stay connected. Get the full whitepaper here: https://lnkd.in/dfNHA9nN ERP success is not just about the ERP—it’s about how well everything connects. Integrations First. Always. #ERP #Automation #iPaaS #PMO #ProjectManagement

Most PMs think collaboration is about team meetings and shared docs. They're missing something far more powerful. — 𝗧𝗵𝗲 𝗥𝗲𝗮𝗹𝗶𝘁𝘆 In my 15 years leading product teams, I mainly operated on winning teams. Since becoming a creator, I've learned: a rare few product teams operate fundamentally differently from everyone else. Here's what no one's talking about: — 𝟭. 𝗧𝗛𝗘 𝗖𝗢𝗟𝗟𝗔𝗕𝗢𝗥𝗔𝗧𝗜𝗢𝗡 𝗠𝗬𝗧𝗛 Most teams lock themselves into a familiar pattern: • Strategy happens once a year, behind closed doors • Roadmaps become endless point-to-point exercises • Teams chase tasks without understanding the "why" • Planning becomes a checkbox rather than a conversation But elite teams have learned something deeper: True collaboration isn't about the ceremony of working together. It's about how teams learn and adapt together. — 𝟮. 𝗧𝗛𝗘 𝗘𝗟𝗜𝗧𝗘 𝗣𝗟𝗔𝗬𝗕𝗢𝗢𝗞 Here's what I've seen the best teams do differently: They build living strategies → Strategy evolves with learning, not annual declarations They test rather than debate → When opinions clash, they turn them into hypotheses to validate They share the journey → Every learning, every pivot, every insight becomes part of the team's collective intelligence They stay grounded in reality → Constant customer contact and data keep decisions anchored in truth — 𝟯. 𝗧𝗛𝗘 𝗧𝗢𝗢𝗟𝗜𝗡𝗚 𝗚𝗔𝗣 The challenge with most product tools: They're built for documenting decisions, not enabling continuous learning. That's where Jira Product Discovery caught my eye: • It creates space for evolving strategy, not just static plans • It helps teams move from debate to validation • It connects high-level thinking to ground-level execution • It makes learning visible and actionable You can try it here (free): https://lnkd.in/e8R84puS — 𝟰. 𝗧𝗛𝗘 𝗣𝗔𝗧𝗛 𝗙𝗢𝗥𝗪𝗔𝗥𝗗 The transition starts with fundamental shifts: → Building a shared language for priorities and progress → Making product conversations transparent and accessible → Matching investment to validation, not hope → Creating space for experiments and quick learning — 𝟱. 𝗧𝗛𝗘 𝗧𝗥𝗨𝗧𝗛 After profiling tens of product teams, I've seen it consistently: The best ones don't just collaborate more. They collaborate differently. They've turned learning and adaptation from aspirations into daily reality. #ProductManagement #JiraProductDiscovery #AtlassianPartner

𝐒𝐭𝐚𝐤𝐞𝐡𝐨𝐥𝐝𝐞𝐫 𝐄𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭: 𝐌𝐞𝐞𝐭 𝐓𝐡𝐞𝐦 𝐖𝐡𝐞𝐫𝐞 𝐓𝐡𝐞𝐲 𝐀𝐫𝐞 Enterprise Architecture abhors a vacuum—it thrives on stakeholder engagement. Often, architects jump into collaboration without first assessing one critical factor: • 𝐖𝐡𝐚𝐭 𝐝𝐨 𝐬𝐭𝐚𝐤𝐞𝐡𝐨𝐥𝐝𝐞𝐫𝐬 𝐤𝐧𝐨𝐰, 𝐚𝐧𝐝 𝐛𝐞𝐥𝐢𝐞𝐯𝐞, 𝐚𝐛𝐨𝐮𝐭 𝐄𝐀? Before strategy, frameworks, or roadmaps, 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐭𝐡𝐞𝐢𝐫 𝐚𝐰𝐚𝐫𝐞𝐧𝐞𝐬𝐬, 𝐩𝐞𝐫𝐜𝐞𝐩𝐭𝐢𝐨𝐧𝐬 and 𝐞𝐱𝐩𝐞𝐜𝐭𝐚𝐭𝐢𝐨𝐧𝐬. This will shape how you approach, gain buy-in, and drive outcomes. Here are 𝐭𝐡𝐫𝐞𝐞 𝐞𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥 𝐦𝐨𝐯𝐞𝐬 for aligning EA with stakeholders: 𝟏 | 𝐆𝐚𝐮𝐠𝐞 𝐄𝐀 𝐀𝐰𝐚𝐫𝐞𝐧𝐞𝐬𝐬 𝐁𝐞𝐟𝐨𝐫𝐞 𝐄𝐧𝐠𝐚𝐠𝐢𝐧𝐠 EA means different things to people, how can you align? Approach: * 𝐀𝐬𝐬𝐞𝐬𝐬 𝐞𝐱𝐢𝐬𝐭𝐢𝐧𝐠 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞. What do leaders think EA does? What experiences shape their view? * 𝐏𝐨𝐬𝐢𝐭𝐢𝐨𝐧 𝐄𝐀 𝐢𝐧 𝐭𝐡𝐞𝐢𝐫 𝐥𝐚𝐧𝐠𝐮𝐚𝐠𝐞. If a product saw EA as 'overhead,’ shift the conversation to ‘rapid decision-making.’ * 𝐓𝐚𝐢𝐥𝐨𝐫 𝐞𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐛𝐲 𝐚𝐮𝐝𝐢𝐞𝐧𝐜𝐞. Finance, operations, and IT leaders have different concerns. Meet them on their terms. 👉 𝐎𝐮𝐭𝐜𝐨𝐦𝐞: When you shape EA’s role based on their reality, it becomes relevant, not theoretical. 𝟐 | 𝐀𝐥𝐢𝐠𝐧 𝐄𝐀 𝐭𝐨 𝐒𝐭𝐚𝐤𝐞𝐡𝐨𝐥𝐝𝐞𝐫 𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐞𝐬 EA isn’t all architecture, it’s solving business problems. Approach: * 𝐒𝐭𝐚𝐫𝐭 𝐰𝐢𝐭𝐡 𝐊𝐏𝐈𝐬. Growth? Efficiency? Risk? Align EA contributions to what leadership interests. * 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐭𝐨 𝐢𝐦𝐩𝐚𝐜𝐭. Show architecture driving go-to-market, savings, or agility—over compliance. * 𝐀𝐧𝐭𝐢𝐜𝐢𝐩𝐚𝐭𝐞/𝐫𝐞𝐦𝐨𝐯𝐞 𝐫𝐨𝐚𝐝𝐛𝐥𝐨𝐜𝐤𝐬. If EA was a bottleneck, demonstrate accelerated decision-making instead. 👉 𝐎𝐮𝐭𝐜𝐨𝐦𝐞: EA is a strategic enabler, not afterthought. 𝟑 | 𝐁𝐮𝐢𝐥𝐝 𝐄𝐀 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧 EA works best in collaboration, not isolation. Approach: * 𝐄𝐦𝐛𝐞𝐝 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐬 𝐢𝐧𝐭𝐨 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐝𝐢𝐬𝐜𝐮𝐬𝐬𝐢𝐨𝐧𝐬. Decision-making improves when EA is a proactive presence. * 𝐒𝐡𝐢𝐟𝐭 𝐟𝐫𝐨𝐦 ‘𝐩𝐫𝐞𝐬𝐞𝐧𝐭𝐢𝐧𝐠 𝐄𝐀’ 𝐭𝐨 ‘𝐜𝐨-𝐜𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬.’ Stakeholders engage when architecture is a tool for their success. * 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐞𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭, 𝐧𝐨𝐭 𝐨𝐧𝐞-𝐨𝐟𝐟. EA isn’t a pitch—it’s a dialog evolving with business. 👉 𝐎𝐮𝐭𝐜𝐨𝐦𝐞: EA shaping decisions early rather than reacting later. 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲 𝐒𝐭𝐚𝐤𝐞𝐡𝐨𝐥𝐝𝐞𝐫 𝐞𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐬𝐭𝐚𝐫𝐭𝐬 𝐰𝐢𝐭𝐡 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠. Before pushing frameworks or models, assess 𝐰𝐡𝐚𝐭 𝐄𝐀 𝐦𝐞𝐚𝐧𝐬 𝐭𝐨𝐝𝐚𝐲—and how to reshape that narrative to unlock its full potential. How do align EA stakeholders? Let’s discuss.👇 --- ➕ 𝐅𝐨𝐥𝐥𝐨𝐰 Kevin Donovan 🔔    👍 Like | ♻️ Repost | 💬 Comment    🚀 𝐉𝐨𝐢𝐧 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐬’ 𝐇𝐮𝐛 👉 https://lnkd.in/dgmQqfu2

Multiphase Flow Modeling Techniques chart! 1. Particle-Based Methods: MPS & SPH   - MPS (Moving Particle Semi-implicit) and SPH (Smoothed Particle Hydrodynamics) are versatile Lagrangian approaches.   - MPS handles incompressible flows with strong surface tension, while SPH excels in simulating free-surface and highly dynamic flows. - Conservation of mass and momentum for individual fluid particles are solved, with fluid properties interpolated between neighboring particles. 2. Lattice Boltzmann Method (LBM)   - LBM is a mesh-based, mesoscopic method that simplifies fluid dynamics simulations, particularly for complex geometries.   - LBM solves the Boltzmann kinetic equation and is suitable for simulating multiphase flows with free surfaces and phase interfaces. 3. Grid-Based Methods:   - With Interface Capturing: Grid-based techniques, like Volume of Fluid (VOF) and Level-Set, track phase interfaces.   - VOF is ideal for sharp interface representation, while Level-Set offers smooth interface tracking, suitable for complex topology changes. - Conservation equations (mass, momentum) are solved along with an additional advection equation for interface capturing. 4. Grid-Based Methods:   - Without Interface Capturing: Eulerian Multiphase Model treat each phase as a separate fluid with mass and momentum equations.   - Eulerian Multiphase Model effectively captures dispersed phase behaviors by solving separate continuity and momentum equations for each phase, considering interfacial forces and phase interactions. - It solves separate continuity and momentum equations for each phase, coupled with models for dispersed phase behaviors (e.g., particle trajectories in DPM). - Discrete Phase Model (DPM): A Eulerian-Lagrangian approach used to simulate dispersed phase behavior, such as suspended particles in a continuous fluid. - DPM solves Lagrangian equations of motion for individual particles, accounting for drag, lift, and other forces, coupled with the continuous phase flow. - Discrete Element Method (DEM) is a particle-based method used to study granular materials and their interactions under various flow conditions. - DEM considers contact mechanics and collision forces between discrete particles, allowing simulations of particle packing, flow, and compaction. Picture Source: CFD Flow Engineering #mechanicalengineering #mechanical #aerospace #automotive #cfd

💡 **On super charging execution with autonomous product squads** A lot of product teams today operate as 'product squads' - cross functional teams consisting of a PM, a few engineers, and a designer, working together to solve a customer problem. This model is successful because it gives product teams a lot of autonomy - which in turn leads to increased velocity of shipping, and velocity is a competitive advantage in fast growing markets. (Remember move fast and break things?) ❌ But lots of teams are doing the squad model wrong. If you're a product squad where the product manager has to write fully baked PRDs before the design or engineering team is brought in, you're missing out on utilising the superpower of this model. Product squads work best when every team member understands the customer problem deeply, and uses their specific functional expertise to contribute to the solution. The job of the PM is to bring the team close to the customer, set context for the problem, and create artefacts to involve the whole squad in the solution process. 📄 A great artefact to use here is the PRD. PMs should visualise the PRD as a living document, where the PM starts with context on the problem statement, identifies potential success metrics, and outlines a set of initial solutions. From here on, designers jump in to outline customer research or build quick wireframes and engineers break down the technical requirements, all while keeping the problem statement in mind. 👨🏭 The PMs job is to hold this co-creation process together, and the output is a problem solution document which the entire squad has contributed to, and hence owns very deeply - the perfect recipe to generate autonomy. Note 1: It's also helpful to visualise the working model of a product squad as a circular process of co-creation, instead of a linear process starting from PRD creation to design handover to engineering execution. (see attached image) Note 2: A more extreme analogy - the linear product development process is a leftover of the services mindset followed by large outsourcing companies. This is not where today's product teams want to be.

🚀 My latest research "Cognitive Integration Process for Harmonising Emerging Risks" is now published in the Journal of AI, Robotics and Workplace Automation. 95% of Australian businesses are SMEs operating on ~$500 cybersecurity budgets. Yet they're being asked to securely integrate AI, quantum computing, and blockchain into their operations. How do you make sound security decisions about emerging technologies when you lack both technical expertise and enterprise-level resources? This is fundamentally a systems engineering challenge that requires first principles thinking. When I presented this research at the Programmable Software Developers Conference in Melbourne in March, I asked the room: "Heard of an AI security incident?" No hands up. "Would you know what an AI security incident looked like?" No hands. This illustrates the gap between AI hype and foundational security understanding - the first principles are missing. That's why I developed CIPHER (Cognitive Integration Process for Harmonising Emerging Risks) - a cognitive mental model that applies systems thinking to technology integration in resource-constrained environments. 🧠 Six cognitive stages: Contextualise, Identify, Prioritise, Harmonise, Evaluate, Refine 🔧 Systems engineering foundation: Built on cognitive science, game theory, and dynamical systems theory 🎯 Technology agnostic: Works across any emerging technology, any environment, any resource constraint CIPHER is a cybersecurity framework that gives smaller organisations the same strategic decision-making capabilities that large enterprises use, designed for their operational realities. It bridges the gap between cutting-edge security research and the practical constraints that define how most Australian businesses operate. The framework recognises that in resource-constrained environments, enterprise security models cannot be applied at scale. You need cognitive tools that help teams think systematically in complex integration challenges without requiring extensive technical depth or large security budgets. My research journey continues: I'm now deep into my UNSW Canberra Masters Research capstone, building on my 2023 work on LLMs in SME cybersecurity. The goal? Developing specialised security models and creating an agnostic, holistic measurement framework for LLMs in Australian SMEs - essentially taking the $500 problem from 2023 into the AI-driven reality of 2025. #CyberSecurity #SystemsEngineering #SME #Australia #AI #EmergingTech #ResourceConstrainedSecurity #CIPHER #FirstPrinciples

𝗖𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗶𝘀... 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗦𝘂𝗽𝗽𝗼𝗿𝘁! Did you know that at "a typical Fortune 500 company, managers 𝘄𝗮𝘀𝘁𝗲 𝗼𝘃𝗲𝗿 𝟱𝟬𝟬𝟬𝟬𝟬 𝗱𝗮𝘆𝘀 𝗽𝗲𝗿 𝘆𝗲𝗮𝗿 on ineffective decision-making"? - Source: McKinsey (https://lnkd.in/e7CtBtVs) Have you ever wondered how organizations can make confident decisions about product changes when millions are at stake? The answer lies in having a 𝗿𝗼𝗯𝘂𝘀𝘁 𝗮𝗻𝗱 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗖𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲. Decisions must be made rapidly, yet accurately. When a design change is proposed, leadership needs to understand: 🎯 What systems will be impacted? 💲 How much will it cost? ⏳ What's the timeline impact? ↘️ What are the downstream effects? ❌ What is the impact if you do not implement the change? Without CM, these questions lead to endless meetings, conflicting information, and decision paralysis. 𝗖𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗰𝗮𝗻: 🪪 Identify all impacted components 💲 Generate accurate cost impacts across the product lifecycle 🔗 Provide insight into all dependencies and risks 🚀 Model different implementation scenarios A mature CM practice doesn't just track what you have—it enables you 𝘁𝗼 𝗺𝗮𝗸𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗲𝗱 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 𝗮𝗯𝗼𝘂𝘁 𝘄𝗵𝗲𝗿𝗲 𝘆𝗼𝘂'𝗿𝗲 𝗴𝗼𝗶𝗻𝗴. Configuration Management turns data into 𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲. What do you think? Share your thoughts in the comments below. Don't forget to follow me: https://lnkd.in/ezftZPJ7 and subscribe to the newsletter: https://lnkd.in/eyyXe3DS Note: the CM is… series posts are not intended to limit the scope of Configuration Management but to create awareness of the breadth of CM. #ConfigurationManagement #DecisionSupport #ProductDevelopment #BusinessIntelligence #CM #DataDrivenDecisions #MDUX

"Architecting Project Serenity: Unveiling the Blueprint for IT Project Excellence 🚀 Dear CEOs, CIOs, CTOs, and Program Managers, tired of the turbulent journey that is IT project management? You're not traversing this path alone. In my two-decade tenure, I've intimately witnessed the hurdles you grapple with: missed deadlines, budget overruns, communication breakdowns, and the feeling of overwhelm within your teams. However, nestled within the chaos, I've honed a transformative approach to bring order to this complexity. Introducing the "Project Serenity Framework," a holistic, data-driven methodology that centers on: ❇️ 𝗨𝗻𝘃𝗲𝗶𝗹𝗶𝗻𝗴 𝘁𝗵𝗲 𝗛𝗶𝗱𝗱𝗲𝗻 𝗥𝗼𝗮𝗱𝗯𝗹𝗼𝗰𝗸𝘀 ❇️ 𝗗𝗲𝘀𝗶𝗴𝗻𝗶𝗻𝗴 𝗮 𝗣𝗣𝗠 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 ❇️ 𝗘𝗺𝗽𝗼𝘄𝗲𝗿𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗧𝗲𝗮𝗺 𝗳𝗼𝗿 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 In successful IT project implementations, the following principles consistently emerge: ✨ 𝗖𝗹𝗮𝗿𝗶𝘁𝘆 𝘁𝗿𝘂𝗺𝗽𝘀 𝗰𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆: Clearly defined goals, roles, and responsibilities eliminate confusion and ensure a unified direction. ✨ 𝗗𝗮𝘁𝗮 𝗱𝗿𝗶𝘃𝗲𝘀 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀: Real-time insights empower informed decision-making and proactive course correction. ✨ 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 𝗰𝗼𝗻𝗾𝘂𝗲𝗿𝘀 𝘀𝗶𝗹𝗼𝘀: Open communication and knowledge sharing foster a culture of accountability and support, boosting team morale and productivity. ✨ 𝗘𝗺𝗽𝗼𝘄𝗲𝗿𝗺𝗲𝗻𝘁 𝗳𝘂𝗲𝗹𝘀 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆: Equipping your team with the right tools and training unlocks their full potential and streamlines workflows. Implementing these principles within the "Project Serenity Framework" yields tangible outcomes: 🌐 𝗥𝗲𝗱𝘂𝗰𝗲𝗱 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘆 𝘁𝗶𝗺𝗲𝘀: Goodbye to missed deadlines; welcome predictable, on-time completion. 🔄 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗱 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗮𝗹𝗹𝗼𝗰𝗮𝘁𝗶𝗼𝗻: Optimize team utilization, avoiding bottlenecks and resource scramble. 📈 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝘀𝘁𝗮𝗸𝗲𝗵𝗼𝗹𝗱𝗲𝗿 𝘀𝗮𝘁𝗶𝘀𝗳𝗮𝗰𝘁𝗶𝗼𝗻: Transparent communication and progress reports keep everyone informed and engaged. 💪 𝗘𝗺𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗮𝗻𝗱 𝗺𝗼𝘁𝗶𝘃𝗮𝘁𝗲𝗱 𝘁𝗲𝗮𝗺𝘀: Foster a culture of ownership, accountability, and increased productivity. Ready to exchange project chaos for control and unveil your team's true potential? Let's connect in the comments below. Share your challenges, and let's explore how I can tailor the "Project Serenity Framework" to meet your organization's unique needs. Remember, in the realm of IT project management, you don't have to navigate alone. #projectmanagement #management #leadership #business #innovation #technology #ceo #cto #cio #programmanagers

🔧 𝐒𝐢𝐭𝐞 𝐑𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲 & 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠: 𝐀 𝐍𝐞𝐰 𝐏𝐚𝐫𝐚𝐝𝐢𝐠𝐦 🏭 Manufacturing is moving at light speed, and in this jet-paced journey, a digital transformation (DT) is not just an option but a necessity. But as we embrace the wonders of DT, we must also confront the intricacies of IT incidents, requests, changes, and problems. Here’s where Site Reliability Engineering (SRE) comes to our rescue! 🛡️ 1. 🚨 𝐈𝐓 𝐈𝐧𝐜𝐢𝐝𝐞𝐧𝐭𝐬: Before your conveyor belt halts due to a software glitch, SRE proactively identifies potential outages. By integrating real-time monitoring and alerting systems, these incidents can be detected and addressed swiftly. ⏲️ 2. 📩 𝐈𝐓 𝐑𝐞𝐪𝐮𝐞𝐬𝐭𝐬: Need a software upgrade? Or perhaps new hardware integration? With an organized request management system, SRE ensures your manufacturing needs are catered to without hitches. No more waiting in long queues; digital requests streamline the process. 🔄 3. ⚙️ 𝐈𝐓 𝐂𝐡𝐚𝐧𝐠𝐞𝐬: As manufacturing evolves, so do its IT requirements. SRE introduces a structured change management approach. This means you can roll out updates/upgrades systematically without disrupting ongoing operations. 🚫🔧🤯 4. 🧩 𝐈𝐓 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬: Recurring IT hiccups? SRE dives deep, analyzing root causes and ensuring that once a problem is solved, it remains that way. It’s about building resilience at the core. 💪 5. 🌐 𝐈𝐓 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: The foundation of it all! SRE emphasizes infrastructure as code (IaC), ensuring scalability, reliability, and robustness – quintessential for modern manufacturing units. ☁️🏢 Now, how do we weave this into our DT framework in manufacturing? 🤔 🛠️ Implementation Blueprint 🗺️: 📌𝑨𝒖𝒅𝒊𝒕: Begin with a comprehensive audit of your existing IT ecosystem. Where are the bottlenecks? What's working well? 📌𝑪𝒐𝒍𝒍𝒂𝒃𝒐𝒓𝒂𝒕𝒆: SRE isn’t a solo endeavor. Involve stakeholders from IT, production, and strategy teams. 📌𝑻𝒐𝒐𝒍𝒔 & 𝑻𝒆𝒄𝒉: Invest in tools that align with manufacturing demands – from real-time monitoring to automated deployment. 📌𝑻𝒓𝒂𝒊𝒏𝒊𝒏𝒈: Upskill your workforce. An informed team is an empowered team. 📌𝑰𝒕𝒆𝒓𝒂𝒕𝒆: The beauty of SRE is in its iterative approach. Continuously monitor, learn, and refine. In essence, as manufacturing embarks on its DT voyage, 𝑺𝑹𝑬 𝒊𝒔 𝒕𝒉𝒆 𝒄𝒐𝒎𝒑𝒂𝒔𝒔 – guiding, optimizing, and ensuring a smooth sail. So gear up, and let's make our manufacturing units not just digitally forward but also reliably robust! 🌟🔍 𝘍𝘰𝘶𝘯𝘥 𝘵𝘩𝘪𝘴 𝘦𝘯𝘭𝘪𝘨𝘩𝘵𝘦𝘯𝘪𝘯𝘨? 𝘏𝘪𝘵 𝘵𝘩𝘢𝘵 👍 𝘢𝘯𝘥 𝘭𝘦𝘵’𝘴 𝘤𝘩𝘢𝘮𝘱𝘪𝘰𝘯 𝘳𝘦𝘭𝘪𝘢𝘣𝘭𝘦 𝘥𝘪𝘨𝘪𝘵𝘢𝘭 𝘵𝘳𝘢𝘯𝘴𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯𝘴 𝘵𝘰𝘨𝘦𝘵𝘩𝘦𝘳!

𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗧𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗮𝗻 𝘂𝗻𝗱𝗲𝗿𝗿𝗮𝘁𝗲𝗱 𝘀𝗸𝗶𝗹𝗹 𝗼𝗿 𝗷𝘂𝘀𝘁 𝗮 𝗰𝗼𝗺𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻? According to the WEF Future Skills 2030 report, it's one of the key learning areas of future-ready organisations. Systems thinking is about a holistic approach to problem-solving that focuses on understanding how different parts of a system interact and influence one another It’s not about adding complexity. It’s about understanding the complexity that’s already there and dealing with it smarter. 𝗙𝗼𝗿 𝗣𝗿𝗼𝗰𝘂𝗿𝗲𝗺𝗲𝗻𝘁 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹𝘀, 𝗦𝘆𝘀𝘁𝗲𝗺 𝗧𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗺𝗲𝗮𝗻𝘀: ▪️letting go of quick fixes and address real root causes ▪️stop firefighting to find comprehensive solutions ▪️simplify, standardise and automate processes end-to-end to create flow ▪️methodologically address automation opportunities for low value tasks ▪️seeing People, Process, Policies and technologies as a whole 𝗜𝘁'𝘀 𝗿𝗲𝗮𝗹𝗹𝘆 𝗮𝗯𝗼𝘂𝘁 𝘀𝗲𝗲𝗶𝗻𝗴 𝘁𝗵𝗲 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗯𝗲𝗵𝗶𝗻𝗱 𝗮𝗹𝗹 𝘁𝗵𝗶𝗻𝗴𝘀, the unconnected dots instead of just singular problems and solutions and understanding that a decision can impact in many different ways. So can Procurement Pro's learn Systems Thinking? Sure thing! Find here 5 ideas on how this skill can be built: ▪️Map a process end-to-end and identify handover and break points ▪️Practice root cause analysis (e.g. Ishikawa, 5whys..) ▪️Build cross-functional project teams to learn how others think ▪️Visualise and discuss interdependencies in flow diagrams 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗧𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗱𝗼𝗲𝘀 𝗻𝗼𝘁 𝗿𝗲𝗾𝘂𝗶𝗿𝗲 𝗮𝗻 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗱𝗲𝗴𝗿𝗲𝗲, 𝗷𝘂𝘀𝘁 𝘁𝗵𝗲 𝗱𝗶𝘀𝗰𝗶𝗽𝗹𝗶𝗻𝗲 𝘁𝗼 𝘀𝘁𝗲𝗽 𝗯𝗮𝗰𝗸 𝗯𝗲𝗳𝗼𝗿𝗲 𝗱𝗶𝘃𝗶𝗻𝗴 𝗶𝗻𝘁𝗼 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗶𝗻𝗴. Where do you see teams doing quick fixes instead of addressing problems systematically?