Every year, Panorama analyzes industry trends to understand organizations’ selection and implementation practices when it comes to enterprise software.
Every year, Panorama analyzes industry trends to understand organizations’ selection and implementation practices when it comes to enterprise software.
This independent report highlights the ERP vendors that Panorama has found to be highly functional for states, municipalities, nonprofits, and other public sector entities.
Every year, Panorama analyzes industry trends to understand organizations’ selection and implementation practices when it comes to enterprise software.
Our list of top 10 ERP software highlights the vendors our ERP experts have found to be innovative and strong in functionality. This is an overview of those ERP systems.
Every year, Panorama analyzes industry trends to understand organizations’ selection and implementation practices when it comes to enterprise software.
Every year, Panorama analyzes industry trends to understand organizations’ selection and implementation practices when it comes to enterprise software.
This independent report highlights the ERP vendors that Panorama has found to be highly functional for states, municipalities, nonprofits, and other public sector entities.
Every year, Panorama analyzes industry trends to understand organizations’ selection and implementation practices when it comes to enterprise software.
Our list of top 10 ERP software highlights the vendors our ERP experts have found to be innovative and strong in functionality. This is an overview of those ERP systems.
Key Takeaways AI in field service management can improve scheduling, technician utilization, and service responsiveness when supported by reliable operational data. The strongest field service AI results usually come from better dispatch decisions, predictive...
Key Takeaways AI vendor selection criteria provide a framework for comparing AI platforms, such as large language model providers, generative AI systems, and machine learning frameworks. The top AI-enabled ERP systems can improve workflows across finance,...
Key Takeaways AI in supply chain management is shifting from visibility-focused analytics toward guided decision support that helps planners, buyers, and operations leaders respond faster. The benefits of AI in supply chain management are becoming more tangible in...
Key Takeaways Machine learning in supply chain management analyzes operational data, supplier performance patterns, and external risk signals to predict supply chain disruptions. Many organizations use machine learning in supply chain management to strengthen supplier...
Key Takeaways ERP consultants guide organizations through ERP software selection, implementation, and long-term optimization to ensure enterprise systems align with business strategy and operational needs. The roles of an ERP consultant typically include vendor...
Key Takeaways Business technology trends for 2026 center on enterprise-scale AI, hybrid cloud architectures, and modular platforms that enable organizations to integrate data, automate workflows, and scale operations. Enterprise AI systems embedded in ERP and...
Key Takeaways ERP challenges during rapid growth often stem from process drift, fragmented data, and shifting decision rights. ERP integration after a merger introduces complexity in operational alignment and data normalization. An effective ERP consolidation...
Key Takeaways AI in utilities is used for improving asset reliability, predictive maintenance, and risk-based prioritization across water, electric, and municipal environments. AI use cases in utilities include leak detection, load forecasting, outage...
Key Takeaways ERP SI oversight provides a structured way for executives to evaluate whether a systems integrator is delivering against contractual commitments, quality expectations, and business objectives. Systems integrator accountability weakens when...
Key Takeaways AI in professional services is used to enhance planning, delivery oversight, and financial forecasting within ERP and PSA environments. AI adoption in professional services can strengthen utilization visibility, margin control, and decision-making...
Executives often ask the same question when discussing heavily-customized legacy ERP systems: “Is changing vendors harder than upgrading?” While changing ERP vendors can be difficult, it’s often easier than the alternatives. This post explores why organizations...
Persistent labor shortages, regulatory changes, and accelerating AI adoption are forcing manufacturers to implement innovative solutions to stay competitive. If you’re thinking about following suit, then this list of the top 10 manufacturing ERP systems is the place...
Key Takeaways Predictive analytics in ERP uses historical and operational data to forecast outcomes such as demand, cash flow, and equipment performance, with accuracy closely tied to data quality and governance. How AI improves the accuracy of predictive analytics...
Key Takeaways Epicor’s shift to a cloud-only development roadmap signals a broader ERP market trend where innovation increasingly favors cloud platforms over on-premises systems. Organizations running Epicor on-premises retain core functionality and support for...
Every few months, a new technology trend promises to transform business as we know it. Executives hear urgent pitches about AI tools that “revolutionize” operations or automation platforms that will “replace manual work overnight.” But step back from the noise, and a...
Amidst the evolving landscape of global commerce, companies must stay current on the forces and industry trends shaping supply chain management. Today, we aim to prepare you for successful software selection as we explore current and future technology trends in supply...
From predictive analytics to generative content, executives are exploring how to apply AI across their operations. Yet one of the most strategic enablers of AI is hiding in plain sight—and it is neither a model nor a dataset. It is your ERP system. AI tools may...
Many organizations still treat reporting as a rearview mirror—tracking metrics after the fact, with limited ability to intervene before risks escalate. But as artificial intelligence (AI) becomes more deeply embedded in ERP systems, the narrative is shifting from...
Key Takeaways Choosing an ERP implementation partner requires evaluating methodology,industry experience, and alignment with your business priorities. The role of an ERP implementation partner differs between integrators, vendors, and oversight partners....
Every year, we conduct an independent analysis of the four “big” ERP vendors—the titans, if you will. The report looks at the selection and implementation approaches of organizations that have implemented SAP, Oracle, Microsoft, or Infor products. As we release 2026...
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