Identify Pain Points Before ERP Implementation

𝗠𝗮𝗽 𝗧𝗼𝗱𝗮𝘆’𝘀 𝗥𝗲𝗮𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗗𝗶𝗮𝗴𝗻𝗼𝘀𝗲 𝘁𝗵𝗲 𝗣𝗮𝗶𝗻 𝗣𝗼𝗶𝗻𝘁𝘀: 𝗨𝗻𝗰𝗼𝘃𝗲𝗿 𝗛𝗶𝗱𝗱𝗲𝗻 𝗙𝗿𝗶𝗰𝘁𝗶𝗼𝗻 𝗕𝗲𝗳𝗼𝗿𝗲 𝗔𝗱𝗱𝗶𝗻𝗴 𝗧𝗲𝗰𝗵 Every successful transformation starts by seeing your current state with crystal clarity. Too often, we rush to evaluate software features before understanding how work really flows and where it grinds to a halt. Imagine treating your processes like a road trip: you wouldn’t choose a new vehicle until you know which roads are blocked. The same goes for systems. A mid‑market manufacturer struggled with late shipments. Leadership blamed their ERP’s lack of functionality, but frontline teams knew the truth: manual handoffs and conflicting spreadsheets created bottlenecks. In addition, 40% of delays stemmed from manual cross‑checks between dispatch and finance, a step invisible on org charts but glaring on the shop floor. By facilitating honest, workshop‑style mapping sessions (complete with sticky notes and whiteboards), they uncovered redundant approvals and invisible handoffs that no feature list could solve. Involving the people who do the work isn’t optional; it’s essential. Their day‑to‑day insights highlight subtle delays, workarounds, and “exceptions” that hide in plain sight. An unbiased facilitator ensures every voice is heard and prevents solutions from being biased by existing hierarchies. The result? A process map that reveals root causes, not just symptoms, and creates a shared baseline for improvement. By critically analyzing your current state, you build a precision roadmap: automate the highest‑impact tasks, redesign workflows to remove dead ends, and close compliance gaps before they escalate. This targeted, human‑centric approach avoids wasted investment, earns frontline trust, and lays the groundwork for sustainable process improvement.    Once you’ve charted reality, you can make targeted changes, whether that’s simplifying an approval step, automating a data transfer, or selecting a tool that fits the way your teams operate. This honest approach prevents costly rework and builds trust across the organization. Ready to uncover hidden friction and chart a focused transformation path? With Digital Transformation Strategist, let’s discuss how a structured pain‑point diagnosis can drive your next wave of operational excellence. #digitaltransformation #operationalexcellence #processimprovement #processmapping #changemanagement

The ONE question I ask every client before we talk about ERP implementation: "What business problem are you actually trying to solve?" Most of the time, I get some version of "we need a new ERP" or "our current system is too old." That's not a business problem. That's a technology statement. So I ask again. And eventually, we get to the real answer: "We're declining bids because our proposal process is inefficient" - meaning their process is broken, leading to excessive manhours and cost. "Our field teams don't trust job costing data, so they're managing everything in spreadsheets" - meaning they're finding errors every month and spending hours reconciling across systems. "We can't see cash flow across projects until it's too late to do anything about it" - meaning they are flying blind, and can't give the owners a straight or honest answer. "Our material costs keep coming in over budget, but we don't know why until the project is done" - meaning they can't track price changes or waste in real-time, so there's no chance to course-correct. Now we're talking about real business problems we can solve. Because here's what I've learned: When companies start with "we need new software," they end up recreating their old processes in the new system. Same problems, just a shinier interface. When they start with the actual business problem, we can design a solution that fixes it. The ERP selection comes after, not before. What's the first question you ask when someone says they need new software? #ERP #BusinessTransformation #ProcessTransformation

Most ERP rollouts fail—not because of tech, but hidden roadblocks nobody talks about. Our blueprint for breaking through them ↓ 1. Change Resistance: People fear the unknown. Address concerns early. Involve key stakeholders from day one. Communicate benefits clearly and consistently. 2. Data Migration Nightmares: Clean your data before migration. Map fields meticulously. Test, test, and test again. 3. Customization Creep: Stick to out-of-the-box features when possible. Evaluate each customization request critically. Remember: More customization = More complexity. 4. Training Oversight: Invest heavily in user training. Create role-specific guides. Offer ongoing support post-launch. 5. Scope Expansion: Define clear project boundaries. Use a phased approach. Resist the temptation to add "just one more thing." 6. Leadership Misalignment: Secure executive buy-in early. Establish a clear project champion. Keep leadership engaged throughout the process. 7. Resource Underestimation: Plan for the long haul. Budget for unexpected costs. Don't skimp on expert consultants. Navigating these roadblocks requires experience. We've guided countless businesses through successful ERP implementations. Take the first step toward transforming your ERP rollout into a game-changing success. Let's talk.

The biggest businesses can get major programmes horribly wrong. Here are 4 famous examples, the fundamental reasons for failure and how that might have been avoided. Hershey: Sought to replace its legacy IT systems with a more powerful ERP system. However, due to a rushed timeline and inadequate testing, the implementation encountered severe issues. Orders worth over $100 million were not fulfilled. Quarterly revenues fell by 19% and the share price by 8% Key Failures: ❌ Rushed implementation without sufficient testing ❌ Lack of clear goals for the transition ❌ Inadequate attention and resource allocation Hewlett Packard: Wanted to consolidate its IT systems into one ERP. They planned to migrate to SAP, expecting any issues to be resolved within 3 weeks. However, due to the lack of configuration between the new ERP and the old systems, 20% of customer orders were not fulfilled. Insufficient investment in change management and the absence of manual workarounds added to the problems. This entire project cost HP an estimated $160 million in lost revenue and delayed orders. Key Failures: ❌ Failure to address potential migration complications. ❌ Lack of interim solutions and supply chain management strategies. ❌ Inadequate change management planning. Miller Coors: Spent almost $100 million on an ERP implementation to streamline procurement, accounting, and supply chain operations. There were significant delays, leading to the termination of the implementation partner and subsequent legal action. Mistakes included insufficient research on ERP options, choosing an inexperienced implementation partner, and the absence of capable in-house advisers overseeing the project. Key Failures: ❌ Inadequate research and evaluation of ERP options. ❌ Selection of an inexperienced implementation partner. ❌ Lack of in-house expertise and oversight. Revlon: Another ERP implementation disaster. Inadequate planning and testing disrupted production and caused delays in fulfilling customer orders across 22 countries. The consequences included a loss of over $64 million in unshipped orders, a 6.9% drop in share price, and investor lawsuits for financial damages. Key Failures: ❌ Insufficient planning and testing of the ERP system. ❌ Lack of robust backup solutions. ❌ Absence of a comprehensive change management strategy. Lessons to be learned: ✅ Thoroughly test and evaluate new software before deployment. ✅ Establish robust backup solutions to address unforeseen challenges. ✅ Design and implement a comprehensive change management strategy during the transition to new tools and solutions. ✅ Ensure sufficient in-house expertise is available; consider capacity of those people as well as their expertise ✅ Plan as much as is practical and sensible ✅ Don’t try to do too much too quickly with too few people ✅ Don’t expect ERP implementation to be straightforward; it rarely is

Most ERP failures are predictable. But most teams don’t catch them until it’s too late. ERP projects don’t crash at go-live. They crash months earlier, when: ❌ Risks go unchecked ❌ Resistance builds ❌ Misalignment takes root And by the time leaders realize it? They’re already in damage control mode. But NASA astronauts don’t wait for failure. They plan for it. Before every mission, they run countless pre-mortems. They assume the worst has already happened. Then, they work backward to find every possible reason, and fix it before launch. ERP projects? They need the same level of preparation. Here's how I run a pre-mortem that actually prevents failure: 1️⃣ Fast forward one year. → Your ERP project flopped. Hard. → What went wrong? Write down every possible reason. 2️⃣ Get brutally honest. → People didn’t adopt it? → Leadership wasn’t aligned? → Processes didn’t fit the tech? → Training came too late? No sugarcoating allowed. 3️⃣ Identify critical risks → Which failures would have the biggest impact? → Where is misalignment already creeping in? → What warning signs are already showing? 4️⃣ Reverse-engineer the fix. → What should have been done earlier? → Which risks need action now? → Who needs to be aligned before this even starts? Pre-mortems don’t just spot issues. They force action, while there’s still time to fix them. Because by the time failure is obvious? It’s already too late. PS. What’s an obvious ERP risk you’ve seen ignored? ♻️ Repost to help others run a pre-mortem before it’s too late. 👋 Follow Mariya Koteva for more ERP & change insights.

In many projects, stakeholders know they have a problem but aren’t clear about the solution. As Business Analysts, it’s our job to turn that uncertainty into clarity. Here’s how I approached it in a report automation project: 🎯 𝐂𝐨𝐧𝐭𝐞𝐱𝐭: The organization manually prepared monthly financial and operational reports using Excel. The process was tedious, error-prone, and delayed decision-making. Leadership knew they wanted “automation” but couldn't articulate what exactly they needed. 🛠️ 𝐇𝐨𝐰 𝐈 𝐇𝐞𝐥𝐩𝐞𝐝 𝐓𝐡𝐞𝐦 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐓𝐡𝐞𝐢𝐫 𝐍𝐞𝐞𝐝𝐬: Start with Business Outcomes, Not Solutions → I asked, "What decisions are delayed today due to slow reporting?" and "What’s the impact of late or incorrect reports?" → This shifted the discussion from "build a dashboard" to "we need accurate reports within 3 days after month-end to improve decision speed." 𝐂𝐨𝐧𝐝𝐮𝐜𝐭 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 𝐖𝐚𝐥𝐤𝐭𝐡𝐫𝐨𝐮𝐠𝐡𝐬 → I organized sessions where stakeholders walked me through the current report generation steps. → Outcome: Identified bottlenecks like manual data consolidation from multiple systems, version control issues, and formula errors. 𝐔𝐬𝐞 𝐕𝐢𝐬𝐮𝐚𝐥 𝐀𝐢𝐝𝐬 → I mapped the As-Is report preparation process on a whiteboard: data sources → manual steps → approvals → final report. → Stakeholders immediately saw inefficiencies they hadn’t verbalized before. 𝐄𝐥𝐢𝐜𝐢𝐭 𝐏𝐚𝐢𝐧 𝐏𝐨𝐢𝐧𝐭𝐬 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐎𝐩𝐞𝐧-𝐄𝐧𝐝𝐞𝐝 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 → Instead of asking, "What features do you want?", I asked: "What’s the most frustrating part of preparing these reports?" "What do you wish was faster or easier?" → Answers revealed that data reconciliation and last-minute formatting were major pain points. 𝐏𝐫𝐨𝐩𝐨𝐬𝐞 𝐒𝐦𝐚𝐥𝐥 𝐏𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐞𝐬 → I created quick mockups (even in Excel or Power BI) of how an automated report could look. → This gave stakeholders something tangible to react to, sparking more specific feedback and helping refine the requirements iteratively. Facilitate Prioritization Workshops → Stakeholders often have a wishlist once they start seeing possibilities. I conducted MoSCoW prioritization sessions to separate “must-have” automation (data refresh, error checks) from “nice-to-haves” (fancy dashboards). 𝐓𝐫𝐚𝐧𝐬𝐥𝐚𝐭𝐞 𝐔𝐧𝐜𝐥𝐞𝐚𝐫 𝐖𝐚𝐧𝐭𝐬 𝐢𝐧𝐭𝐨 𝐂𝐥𝐞𝐚𝐫 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬 → Statements like, "We need to make reports faster" were converted into clear specs: Data from 3 systems consolidated automatically. Standardized templates in Power BI. Report availability by the 3rd business day. 💡 𝐊𝐞𝐲 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲 𝐟𝐨𝐫 𝐁𝐀𝐬: When stakeholders are unclear, they don't need immediate solutions — they need discovery. Our role is to: ✔️ Focus on outcomes. ✔️ Walk the current journey. ✔️ Ask powerful open-ended questions. ✔️ Show possibilities visually. ✔️ Translate pain points into structured requirements. BA Helpline

𝗧𝗵𝗲 𝗥𝗲𝗮𝗹 𝗖𝗼𝘀𝘁 𝗼𝗳 𝗢𝗱𝗼𝗼 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗠𝗶𝘀𝘁𝗮𝗸𝗲𝘀 (𝗔𝗻𝗱 𝗛𝗼𝘄 𝗦𝗺𝗮𝗿𝘁 𝗖𝗘𝗢𝘀 𝗔𝘃𝗼𝗶𝗱 𝗧𝗵𝗲𝗺) After helping hundreds of companies transform their operations with Odoo, I've seen the same costly mistakes repeatedly derail what should have been game-changing ERP implementations. 𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝘀𝗲𝗽𝗮𝗿𝗮𝘁𝗲𝘀 𝘀𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗢𝗱𝗼𝗼 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀 𝗳𝗿𝗼𝗺 𝗲𝘅𝗽𝗲𝗻𝘀𝗶𝘃𝗲 𝗳𝗮𝗶𝗹𝘂𝗿𝗲𝘀: 𝗧𝗵𝗲 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝗧𝗿𝗮𝗽 Too many organizations rush into Odoo thinking it's just another software purchase. Reality check: Without mapping your actual business processes first, you're building on quicksand. The companies that win spend weeks understanding their workflows before touching a single configuration. 𝗧𝗵𝗲 𝗗𝗮𝘁𝗮 𝗡𝗶𝗴𝗵𝘁𝗺𝗮𝗿𝗲 "Our data is clean" - famous last words I hear monthly. Legacy system data is messy, incomplete, and full of surprises. Smart leaders start data cleanup six months before go-live, not six days. Your Odoo system is only as good as the data you feed it. 𝗧𝗵𝗲 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗔𝗳𝘁𝗲𝗿𝘁𝗵𝗼𝘂𝗴𝗵𝘁 Here's a hard truth: Your team will resist change, even good change. I've watched million-dollar Odoo implementations fail because companies spent months on configuration and days on training. The most successful rollouts treat user adoption as seriously as technical implementation. 𝗧𝗵𝗲 𝗖𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗧𝗲𝗺𝗽𝘁𝗮𝘁𝗶𝗼𝗻 Odoo is incredibly flexible, which can be its own trap. Every "small customization" becomes technical debt. The best implementations use 80% standard Odoo features with minimal custom code. Trust the platform - it's been refined by thousands of businesses. 𝗧𝗵𝗲 𝗟𝗮𝘂𝗻𝗰𝗵 𝗮𝗻𝗱 𝗟𝗲𝗮𝘃𝗲 𝗠𝗶𝘀𝘁𝗮𝗸𝗲 Going live isn't the finish line, it's mile one of a marathon. Companies that thrive post-implementation have dedicated support resources and upgrade strategies from day one. Odoo evolves rapidly - so should your deployment. 𝗧𝗵𝗲 𝗕𝗼𝘁𝘁𝗼𝗺 𝗟𝗶𝗻𝗲 At Dymaxel Systems, we've learned that successful Odoo implementations aren't about technology - they're about people, processes, and partnership. The technical part is straightforward; the human element is where projects succeed or fail. As one of the 𝘁𝗼𝗽 Odoo 𝗦𝗶𝗹𝘃𝗲𝗿 𝗣𝗮𝗿𝘁𝗻𝗲𝗿𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗨𝗦𝗔, we've seen every mistake in the book. More importantly, we've perfected the strategies that prevent them. 𝗪𝗵𝗮𝘁'𝘀 𝘆𝗼𝘂𝗿 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗘𝗥𝗣 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗰𝗼𝗻𝗰𝗲𝗿𝗻? 𝗧𝗵𝗲 𝗰𝗼𝗺𝗺𝗲𝗻𝘁𝘀 𝗯𝗲𝗹𝗼𝘄 𝗮𝗿𝗲 𝗼𝗳𝘁𝗲𝗻 𝗺𝗼𝗿𝗲 𝘃𝗮𝗹𝘂𝗮𝗯𝗹𝗲 𝘁𝗵𝗮𝗻 𝘁𝗵𝗲 𝗽𝗼𝘀𝘁 𝗶𝘁𝘀𝗲𝗹𝗳 - 𝘀𝗵𝗮𝗿𝗲 𝘆𝗼𝘂𝗿 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗼𝗿 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀. #Odoo #ERP #DigitalTransformation #BusinessAutomation #ERPImplementation #OdooPartner #BusinessProcesses #ChangeManagement #DataMigration #ERPConsulting #BusinessGrowth #TechLeadership #SoftwareImplementation #BusinessEfficiency #ERPSolutions #DymaxelSystems

One of the biggest reasons ERP implementations fail isn’t the software. It’s the requirements process. The traditional method is broken: weeks of workshops, piles of documents, and a “sign-off” that means nothing because no one has seen the system. Then, three months before go-live, reality hits. What people said they needed is not what they actually do. There’s a better approach. Get people into a demo environment immediately, before anything is configured. As they describe their work, replicate it on the screen in real time. The moment users see their workflow in context, everything changes. They catch missing fields, misdescribed steps, undocumented dependencies, and the informal workarounds they forgot to mention. 𝐈 𝐜𝐚𝐥𝐥 𝐭𝐡𝐢𝐬 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐭𝐢𝐚𝐥 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲. It shifts the question from “What do you need?” to “What’s missing?” The accuracy jumps, the blind spots disappear, and you eliminate the expensive rework that normally shows up right before launch. From there, load the environment with sample customers, products, and orders. Give SMEs continuous access. Let them test, break things, and explore. Early friction is cheap. Late friction is catastrophic. This approach works for any major system: ERP, CRM, AMS, ecommerce, you name it. The catch: it only works if the facilitator understands both the business and the technology. Not an IT person guessing at operations. Not a business user guessing at system constraints. Someone who can translate in real time and guide the discovery instead of documenting assumptions. If organizations changed only this one part of their implementation process, failure rates would drop fast, and adoption would improve even faster. Flip the process. Show the system first, document later. Requirements become real, not theoretical. If you'd like the framework I use or want to discuss an upcoming project, message me.

Most SAP S/4 programs fail long before go live. But the steering committee never sees it until the factory shows the bill.   If you’ve ever delivered an S/4 rollout into a real plant, you already know the pattern. The program dashboard is green, design is locked, UAT is acceptable enough and everyone is gearing up for cutover… while the factory quietly braces for impact.   Here’s the reason. The KPIs that matter, the ones senior leaders judge success on, don’t originate in ERP. They surface in the plant.   Inventory turns, schedule adherence, ECO cycle time, OEE, FPY, scrap, batch release, line flow, continuity of change, are all shaped by PLM truth, APS feasibility and MES execution. ERP records the intention. Execution determines the outcome.   The trouble is simple. S/4 programs keep treating execution as Wave 3 instead of Wave 0. > APS gets deferred. > MBOM gaps get ignored. > Routings are assumed, not validated. > MES is treated like a future enhancement. And by the time the plant is asked to adopt the “new process,” the program has already locked in decisions that don’t match how the factory runs.   When that happens, the symptoms roll in fast: • Schedule chaos • Inventory drift • Quality disruption • Change delays • Firefighting • Rising cost-to-serveS • A blame game that points fingers at ERP   The real issue isn’t ERP. The real issue is missing manufacturing execution intelligence.   Tie ERP, PLM, APS, MES, Quality and IIoT together in a way that respects factory physics, and everything stabilizes. Ignore that layer and the plant is left improvising.   If this sounds familiar inside your own S/4 programs, you’re not alone. We’re seeing the same patterns across Defense, Automotive, Industrial, Med Device and Pharma. And we’re helping GSIs turn this recurring pain into a capability that protects margin, improves KPIs and strengthens client relationships.   Happy to compare notes with anyone facing these symptoms right now.

"ERP Implementation Challenges & Best Practices" The other day, I was catching up with some former colleagues about how quickly technology is changing, which led us to discuss the many ERP implementations we’ve led over the years. Each one presented unique challenges, and with technology constantly advancing, ERP projects have become even more complex. They require us to wear multiple hats, such as super user, project manager, and the bridge between the company and the ERP provider, while also ensuring business continuity and managing our day-to-day responsibilities. In one major integration, I managed a small core team that fully immersed itself in every aspect of the new system. We took a "train-the-trainer" approach: the ERP provider trained us, and we, in turn, trained the entire staff. This hands-on method ensured a smoother transition and faster adoption across the organization. One of the biggest challenges was data integrity. Aligning teams across the company was important, but ensuring clean, standardized data before integration was even more critical. I saw this as an opportunity to clean up historical data, standardize formats, and eliminate redundancies. As a team, we conducted a pre-migration audit to identify potential issues—such as special characters failing to transfer correctly; and collaborated with departments to ensure consistency and accuracy. By addressing these issues upfront, we minimized downtime and enabled teams to fully leverage the new system’s capabilities from day one. A key takeaway for me was that ERP implementation isn’t just about technology, it’s about people, processes, and data. What ERP challenges have you faced, and how did you overcome them? Let’s discuss.