Infor has been named a Leader for the fifth consecutive year in Gartner’s 2025 Magic Quadrant for Cloud ERP for Product-Centric Enterprises. The recognition underscores Infor’s consistent strength in delivering cloud-native, industry-tailored ERP solutions.

In Gartner’s 2025 Critical Capabilities report, Infor earned highest scores in three of seven use cases: Process Manufacturing, Project/Asset-Intensive Manufacturing, and ERP for Lower Midsize Enterprises ($50M–$250M). It also secured a #2 ranking in Discrete Manufacturing, maintaining top-tier status there for six consecutive years.

Rick Rider, Infor’s SVP of Product Management, emphasized that these honors reflect the company’s focus on modernizing operations with solutions like Infor Leap and Industry AI Agents, which help customers leverage cloud ERP while unlocking new efficiencies and growth opportunities.

Gartner’s analysis also highlighted market trends shaping ERP evolution, including generative and agentic AI, low-code development, process mining, and tighter integration capabilities. These features are increasingly crucial for organizations seeking agility, operational insight, and competitive advantage.

For IT leaders, ERP managers, and system administrators, Infor’s continued recognition signals a stable, innovation-driven partner capable of supporting complex manufacturing and distribution environments while staying ahead of emerging technology trends.

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When you look at Cloudflare’s recent outage, AWS disruptions, and airline IT incidents like Alaska Airlines earlier this year, a pattern emerges. These aren’t random glitches. They reflect deeper, systemic issues in today’s hyper-connected infrastructure—where a single misconfiguration or service failure can ripple across the entire digital ecosystem.

As organizations rely more heavily on cloud platforms, global CDNs, and centralized systems, even small failures can lead to large operational shocks. The real question is no longer if an outage will affect your business, but whether your systems are prepared to withstand it.

ERP Systems: The First to Feel the Impact

ERP platforms sit at the center of finance, operations, supply chain, and HR. When external or internal infrastructure breaks, ERP users often experience:

• Authentication failures
• Stalled workflows or batch jobs
• Broken integrations
• Delayed purchasing, shipping, and approvals

A brief outage elsewhere can quickly become enterprise-wide downtime.

Data Access & Storage: Redundancy Isn’t Enough

This year’s outages made one point clear: Data that exists but can’t be accessed is effectively down.

DNS failures, routing issues, CDN disruptions, and cloud zone outages can suddenly block:

• File repositories
• Data lakes
• ERP historical records
• Cloud storage buckets

Organizations often have backups—but no guarantee that users can reach critical data during an outage.

Cybersecurity: Availability Is Part of Security

The Cloudflare incident showed that security systems themselves—identity, permissions, and zero-trust rules—can become failure points. A malformed security configuration can knock systems offline just as quickly as an attack. Strong cybersecurity must include validation, testing, and controlled configuration management.

Backup & Recovery: Strategy vs. Reality

Many companies have backup plans, but few have tested recovery plans. Unverified failovers and outdated procedures turn minor issues into major disruptions. True resilience requires:

• Regular recovery testing
• Independent, isolated data archives
• Emergency read-only access modes
• Clear, practiced procedures

Our consulting team specializes in ERP operational resilience. We offer Managed Services, with proactive ERP monitoring, maintenance, security hardening, and rapid-response support to reduce unexpected downtime, as wel las a cloud-secure ERP Application Archive solution – APIX – that ensures ERP data remains accessible—even during cloud outages or ERP failures. If recent outages have you rethinking your resilience strategy, let’s talk. Nogalis is here to help organizations build stability into their ERP, data, and infrastructure before the next disruption hits.

In her recent ERP Today article, Radhika Ojha highlights a surprising statistic: while 97% of organizations feel pressure to deploy artificial intelligence (AI) quickly, a whopping 92% aren’t ready. The reason isn’t lack of talent or infrastructure—it’s messy, siloed data. Finance, sales, HR, manufacturing, and supply chain systems often live in separate platforms that don’t communicate, making it nearly impossible for AI to deliver meaningful insights.

The Cisco AI Readiness Report shows that data is the weakest pillar for most companies. AI models need clean, unified data to work, but many organizations focus on hiring data scientists or investing in algorithms while ignoring the fragmented data in their ERP systems. Without consolidating and cleaning decades of historical records, AI initiatives can stall, and predictive insights—like customer churn or supply chain forecasting—remain out of reach.

The first step toward AI readiness, Ojha states, is aggregation. Platforms like JiVS IMP from Data Migration International can consolidate, clean, and structure data from across legacy systems, creating a single, AI-ready foundation. For ERP leaders, this means that any system migration—like SAP S/4HANA—should focus not just on moving data, but on making it usable for AI. In short, before AI can start providing real value, organizations must ensure their core ERP data is structured, accessible, and ready for intelligence.

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