Traditional enterprise resource planning (ERP) systems are becoming digital dead weight. In a recent article by ERP Today’s CEO Mark Vigoroso, he explains why more organizations are ditching monolithic platforms in favor of composable ERP—modular, flexible systems built for change. Historically, companies showcased large, customized ERP implementations that were rigid and difficult to adapt. However, market data indicates a strong move toward composable ERP solutions, with 76% of IT decision-makers aware of them and 84% planning investments, reflecting a rapid industry transition. Traditional ERP platforms, designed for slower-paced business environments, often require extensive customization, leading to costly and time-consuming upgrades. In contrast, composable ERP leverages APIs and microservices, enabling businesses to quickly add, swap, or modify modules without disrupting the entire system. This approach aligns with the modern need for agility in fast-changing markets. Nextworld exemplifies this shift by separating applications from underlying technology, allowing seamless updates and future-proofing. Its enterprise no-code platform empowers business users to develop and modify applications independently, reducing reliance on IT and avoiding technical debt. The company advocates for the “Clean ERP Method,” which modernizes systems without complete replacements, supporting integration and evolution. The article emphasizes that organizations sticking to legacy, monolithic ERP are becoming increasingly obsolete. Future-ready companies will adopt composable platforms that facilitate rapid application assembly, decompose and recompose solutions as needed, and create ecosystems of specialized tools. For ERP leaders, this means shifting focus from static functionalities to adaptable, integrated ecosystems—prioritizing platform thinking, reducing technical debt, and enabling seamless integration of best-of-breed solutions through open standards.

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Greenfield ERP (enterprise resource planning) migrations may offer a fresh start, but they often come at the cost of losing critical historical data and institutional knowledge, putting years of business intelligence at risk. In an article by CEO Mark Vigoroso from ERP Today, he challenges the conventional wisdom favoring greenfield ERP migrations, which treat new implementations as entirely fresh starts and often discard valuable legacy data. While greenfield approaches are promoted as a way to eliminate outdated code and modernize systems, they risk erasing decades of business intelligence embedded in legacy systems—such as custom processes, historical performance patterns, and institutional knowledge crucial for informed decision-making. Vigoroso highlights that many organizations, especially those with complex, decentralized operations, rely heavily on historical data to understand market trends, supplier performance, and process efficiencies. Discarding this data in pursuit of a “clean slate” can lead to significant losses in operational insight, as exemplified by companies like a pharmaceutical firm and a manufacturer that lost critical process and supplier data. The article advocates for a more nuanced migration strategy that preserves legacy data and business context. Data Migration International’s JiVS IMP platform exemplifies this approach, enabling organizations to decommission legacy systems while maintaining complete, compliant access to historical information. This hybrid method combines the benefits of modern ERP systems with the retention of valuable institutional knowledge, reducing costs and risk without sacrificing operational agility. Vigoroso urges tech leaders to move beyond binary migration choices and adopt intelligent, data-preserving strategies. He recommends establishing governance frameworks and data archaeology assessments to identify critical historical patterns before system decommissioning. Ultimately, successful ERP transformations will be those that integrate modern capabilities with a strategic preservation of legacy data, viewing it not as technical debt but as a source of competitive advantage.

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Today’s consumer-focused companies rely on teamwork and data-informed decisions to fuel growth, but their main challenge is ensuring that actionable insights come from trustworthy, well-structured, and readily available data sources. Lori Schafer, Forbes Council Member and CEO of Digital Wave Technology, shares an article that emphasizes the importance of robust data governance and efficient processes for modern consumer-facing organizations that rely on data-driven decisions. It highlights the distinction between merely collecting data and being responsible stewards of it—ensuring data is accurate, accessible, and well-organized through smart cleansing, enrichment, and management practices. Key challenges in data management include sourcing high-quality data, overcoming silos and incompatible systems, and reformatting information to fit organizational needs. Traditional extraction methods can be slow and costly, but emerging technologies like Generative AI (GenAI) are transforming data processes. GenAI enhances the ETL (extract, transform, load) workflow by identifying inconsistencies, filling gaps, and verifying data integrity, resulting in cleaner, more reliable datasets. The article underscores the role of AI in securing data access through attribute-based controls and automated classification, enabling granular permissions across departments. It advocates for appointing dedicated data governance leaders to oversee standards, security, and collaboration. Ultimately, organizations must foster a culture that values data integrity, invest in AI-powered tools, and establish clear governance protocols to ensure real-time, accurate data insights—crucial for maintaining competitiveness and operational agility in today’s marketplace.

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