Daanish Soomar

📢 New Training Video from 8Quanta! How to Import Vendor Bills CSV into NetSuite (Step by Step) – Lesson 65 In this video, you’ll learn: ✅ Setting up your CSV file ✅ Mapping internal IDs correctly ✅ Running your Vendor Bill import with confidence 📺 Watch the full tutorial: https://lnkd.in/dUTXCj_B 🔔 Subscribe for future lessons: https://lnkd.in/guKrRewC Grow your NetSuite expertise with us. 🚀 #NetSuite #ERP #Finance #DataManagement #ERPTraining #VendorBills #CSVImport #BusinessAutomation #8Quanta

2

Salesforce AI Research has introduced MCP-Universe, a benchmark designed to evaluate large language models (LLMs) in practical scenarios using the Model Context Protocol (MCP). This framework aims to address the limitations of existing benchmarks, which often fail to account for complexities such as long-horizon reasoning and unfamiliar tool environments.   MCP-Universe encompasses six primary domains: Location Navigation, Repository Management, Financial Analysis, 3D Design, Browser Automation, and Web Searching, featuring 231 tasks distributed across 11 MCP servers. It utilizes execution-based evaluators to rigorously assess LLM performance through criteria such as format compliance, static content matching, and dynamic real-time ground truth retrieval. Evaluations of prominent models, including GPT-5, Grok-4, and Claude-4.0-Sonnet, have highlighted notable performance challenges, particularly in areas involving long-context reasoning and tool unfamiliarity, which can lead to context overflow and execution errors.   The benchmark also reveals variations in performance across different domains, suggesting the necessity for domain-specific optimizations, as even advanced agents like Cursor do not consistently outperform standard frameworks. MCP-Universe is open-sourced, enabling researchers to integrate new agents and MCP servers, thereby fostering innovation within the MCP ecosystem.   MCP-Universe marks a significant step forward in the evaluation of LLMs, offering a comprehensive testbed that mirrors the complexities of real-world tasks and facilitating future advancements in model design and agent integration.  Arxiv: https://lnkd.in/ejbUAhC9

2

Moving to new ERP won’t fix your data. You can spend $500k on Odoo, SAP, or NetSuite. But if your plant manager "fixes" inventory in a spreadsheet. No "data cleaning" project will solve it. We worked with a manufacturing firm that had 15 years of data in Sage, Excel, and a few random Access databases. They thought the new ERP would solve their data problems. But they just migrated the same bad data, definitions, and processes they had before. Seen it across manufacturing, food, and ag. They were migrating to Odoo and thought: “Let’s clean everything. New ERP will give us a new start; it will remove bad data.” So they did what everyone does: Froze the ERP for “data cleanup" Built a dozen Excel trackers and migrated. Six months later? Operations slowed to a crawl. Finance couldn’t close the month. Nobody knew which version of truth was real. The business was bleeding time and trust. They treat 'data cleaning' as a one-time event. They think moving to a new ERP will solve all their data issues Bad ERP data isn’t a technical issue. It’s a behavioral one. -It’s a sales rep skipping CRM fields. -A plant manager “fixing” inventory manually. -Finance entering workarounds to close on time (Excel file name '_finalv3') So when you try to clean or migrate to a new ERP it all at once without fixing ownership or process you’re moving problems with you. Here’s the Playbook We Use We’ve done this across manufacturing, agrifood, and logistics firms 10-year legacy data. 1. Audit What Matters, Not Everything Don’t clean everything. Start where bad data costs money (risk vs value) Ask: “If this data were wrong, what would it cost us?” If it doesn’t move P&L or decision-making, it doesn’t make the first round. Clean the 20% of data that drives 80% of your business. 2. Assign Ownership at the Source Bad data comes due to bad process. Ops uses the wrong codes. Skipped fields in ERPs. Your data won’t stay clean until someone owns it. Assign data stewards. Create a process so that bad data is impossible to happen. Make data quality part of the goal in that domain. 3. Clean in Iterations, Not in a Big Bang Forget the “6-month cleanup project.” All clean-up projects are band-aid fixes. Start with the lowest-hanging fruit first Audit → Clean → Validate Each iteration delivers visible ROI, faster close, and cleaner SKUs. Momentum matters more than perfection. 4. Automate the Guardrails If the VP notices the error before you. You lost. Set up automated checks to catch mistakes before they spread. Duplicates? Missing values? Invalid ranges? Flag them in real-time, notify. Fix it at the source, not six reports later. 5. Build the “Semantic Layer” Chaos returns fast if definitions differ. Build a semantic layer a unified model defining what metrics mean Your legacy ERP is not the source of truth. You don’t fix 15 years of bad data by "cleaning up" one time. You don't fix it by migrating to new ERP.

46

19 Comments

Explained: The 3 Tiers of the ERP Market When we talk about ERP systems, we talk about companies that are making multiple billions of dollars per year to startups that are in the infancy phase. Generally speaking, the ERP market is categorized into three tiers. These tiers reflect the size of their client base, their business process coverage, and the price points of the software solutions. Let’s break them down: 1️⃣ Tier 1: SAP 💲 Market Share: SAP leads the Tier 1 ERP category by far, almost in a monopolistic fashion. Though other ERP vendors are growing and trying to benefit from the ECC to S4 migration hesitancy, SAP is still by far the first in ERP market. Global Revenue: SAP's global revenue was €30 billion (2023). Business Process Coverage: SAP covers virtually all business processes, including advanced solutions in business intelligence. AI Capabilities: SAP leverages AI through its SAP Leonardo platform and the agent Joule. Top Clients: Coca-Cola, Adidas, Porsche. 2️⃣ Tier 2 ERP: Microsoft Dynamics, Netsuite, Workday, Epicor Market Share: These ERP solutions hold a significant portion of the mid-market, serving companies with more complex needs than Tier 3 solutions but with a smaller budget than Tier 1. Global Revenue: For instance, Microsoft Dynamics generated $5.44 billion in fiscal year 2023, while Netsuite brought in $1 billion in Q4 FY 2025. Business Process Coverage: Tier 2 ERPs typically cover financials, CRM, HRM, and manufacturing, with country & industry-specific solutions AI tools: Copilot for MS Dynamics, SuiteScript of NetSuite AI Top Clients: HP, Ford Motor, L'Oréal 3️⃣ Tier 3 ERP: Zoho, Odoo, Market Share: Small to mid-sized businesses, providing solutions at a lower cost with essential ERP capabilities. Global Revenue: Odoo's revenue was $650 million in 2024 with 11k customers. Zoho's ERP solution also has a growing share of the market with solid traction among small businesses. Business Process Coverage: These solutions cover core functions like accounting, CRM, and inventory management but may lack depth in advanced manufacturing or large-scale logistics. AI Capabilities: Odoo has recently launched its AI application that will be fully available in Odoo v19. Top Clients: Odoo counts Toyota, Danone, and Herman Miller as part of its growing client base. The business case for Odoo: Odoo has been positioned in Tier 3 historically & is now climbing into the Tier 2 category due to its impressive growth and rapidly expanding business process coverage. At ERP Happy, we have chosen to partner with Odoo because it provides functionalities of a Tier 2 ERP with Tier 3's flexibility & cost-effectiveness. And as a company, we offer Tier 1 ERP implementation expertise. Midsize businesses (up to 500 employees and/or a 5-50 million $ annual revenue) can fully leverage Odoo thanks to the variety & depth of business applications it provides today. #ERP #Odoo #DigitalTransformation #ERPHappy #SAP

241

59 Comments

🧩 ERP upgrades shouldn’t feel like open-heart surgery. Manual upgrades, broken customizations, and partner dependency aren’t just inconvenient—they’re costly, risky, and slow your business down. This guide from iDynamics and Oracle NetSuite breaks down the real risks: ⚠️ Manual upgrades = developer hours & downtime ⚠️ Broken scripts = expensive rewrites ⚠️ Multiple versions = inconsistent performance ⚠️ Partner reliance = delayed fixes and hidden costs 💡 With NetSuite, you get one cloud-native ERP that: ✅ Upgrades automatically—no disruption, no rollback ✅ Preserves customisations with sandbox testing ✅ Keeps all customers on the latest version ✅ Empowers business users to build reports and workflows directly 🎯 Why it matters: NetSuite helps CFOs and IT leaders avoid reimplementation traps—delivering predictable upgrades, faster ROI, and a system that scales with your ambition. 📘 Read the full breakdown: idynamics.asia/blog 📞 Or talk to iDynamics today: https://wa.me/60124394622 #NetSuiteERP #UpgradeClarity #SmartERP #IDynamicsAsia #MalaysiaSME #ERPComparison #SuiteSuccess #AuditSafe #CFOLeadership #DigitalTransformation

5

Not every School ERP is built for everyone. That’s where most implementations fail. Verticx is designed for the entire school ecosystem: • Principals who need real-time visibility • Teachers who want clarity, not complexity • Parents who expect transparency • Administrators who need control, not chaos When everyone works from the same system, execution improves across classrooms and offices. That’s what modern school operations look like. #SchoolERP #EducationLeadership #EdTech #Verticx

7

August Oracle EPM Update: A Big One for Developers & Planners From upcoming Groovy changes to smarter predictions - this month’s Oracle EPM update is a must-read if you’re building or forecasting in the platform. - Groovy script rules are tightening up - is your app ready? - Advanced Predictions now use multivariate inputs, powered by OCI machine learning. - Forms now auto-fill user variables for a smoother experience. If you use Groovy rules or rely on planning models in EPM, you need to read this month’s update! 👉 Read the full update on our website: https://lnkd.in/e6zJazpE 🔍 Book a complimentary consultation to assess the impact on your models: https://lnkd.in/edNmWZtr #OracleEPM #FinanceTransformation #AdvancedPlanning #GroovyRules #CloudEPM #MachineLearning #Forecasting #FinanceAutomation #EPMUpdates #OracleCloud #PredictivePlanning #GKUpdates #FPandA #DigitalFinance #OraclePartner

4