Data integrity has quietly become the make-or-break factor for ERP (enterprise resource planning) success. In his ERP Today article, senior editor Chris Vavra explains why reliable, governed data is now central to delivering on ERP’s promises—from automation and AI to real-time reporting and predictive operations.

As organizations expand their data estates, move to the cloud, and pursue AI-driven insights, unreliable data undermines everything from automation to cross-functional reporting. Vavra emphasizes that ERP transformation works best when the underlying data foundation is coherent, accessible, and governed—without relying on expensive ERP rip-and-replace projects. The challenge is especially clear in manufacturing. Despite decades of ERP investment, many shop floors still depend on paper-based processes and siloed systems. This creates the “Hidden Factory,” where manual work, errors, and delays erode profitability. Without real-time, trustworthy metrics like OEE or downtime analysis, teams end up reacting to problems instead of addressing root causes. Vavra highlights how some organizations are solving this by unifying data across systems using semantic layers and virtualization. One steel manufacturer gained real-time reporting, consistent financials, and executive-level visibility—while avoiding months-long integrations and core ERP changes. Cultural alignment and shared ownership of data were just as critical as the technology itself. The article also points to ERP decommissioning as a key integrity strategy. By archiving historical data from legacy systems into modern, managed platforms, organizations can improve governance, reduce costs, and meet compliance requirements.

The takeaway for ERP leaders is clear: data integrity drives efficiency, trust, and ROI—and achieving it requires both disciplined governance and organizational buy-in.

For Full Article, Click Here

CES is often associated with consumer gadgets, but CES 2026 told a different story. This year, the spotlight was on real-world enterprise technology—the kind that helps IT teams secure systems, streamline operations, and finally get value from AI.

Security Is No Longer an Add-On
One of the biggest takeaways was how deeply security is being embedded into everything. From AI-driven threat detection to zero-trust device ecosystems and privacy-first edge AI, vendors are addressing the reality that ERP environments now span cloud, on-prem, and edge systems. The message was clear: security has to be built in from day one, not bolted on later.

AI Is Growing Up
AI at CES 2026 wasn’t about flashy demos. It was about execution. We saw AI agents designed to work across ERP, CRM, supply chain, and IT service systems—automating tasks like procurement, maintenance planning, scheduling, and reporting. For IT and ERP leaders, this is the shift from experimenting with AI to actually putting it to work in daily operations.

Data Is Moving Closer to the Action
Edge and embedded AI also stood out. By processing data closer to where it’s created, organizations can reduce latency, improve reliability, and keep sensitive data under tighter control. For ERP environments, that means faster insights, better performance, and fewer integration headaches.

So What Does This Mean for You?
CES 2026 reinforced that modern ERP environments need to be secure, flexible, and ready for AI. It also highlighted a familiar challenge: as new technology comes in, legacy systems and old data don’t magically disappear.

At Nogalis, we help organizations keep their ERP environments stable while preparing for what’s next. Our Lawson and CloudSuite managed services take the day-to-day burden off internal teams, and our APIX application retirement and data archiving solutions help reduce risk, cost, and complexity—without losing access to the data your business still needs. If CES 2026 made you rethink your ERP roadmap, we’d be happy to talk.

Cybersecurity is no longer just a technical safeguard—it’s becoming a decisive factor in business survival. At the end of December, Chuck Brooks, Global Thought Leader in Cybersecurity and Emerging Tech, shares an article on Forbes explaining why cyber risk has shifted from an IT issue to a core leadership and governance priority.

Brooks points to the scale of the threat: cybercrime now drives trillions in global losses, while the average data breach costs millions in downtime, legal exposure, and lost trust. As a result, company failure is increasingly tied to cybersecurity failure. The strategic challenge for 2026 is not whether to invest, but how deeply security is embedded into corporate strategy and operational resilience.

Ransomware remains the most disruptive threat, accounting for a large share of breaches and evolving into targeted, multi-layered extortion that disrupts operations even without ransom payments. At the same time, traditional network perimeters are fading. Identity has become the primary security control as stolen credentials and AI-driven phishing dominate attack methods, pushing organizations toward continuous, risk-based identity verification.

Human risk is also growing. Despite years of training, most breaches still involve human behavior, now amplified by AI-enabled social engineering. Brooks argues that effective security cultures focus on measurable behavior change and executive engagement, not just awareness programs.

Supply chain exposure is another board-level concern, as attackers increasingly compromise vendors and software ecosystems. Meanwhile, AI accelerates both defense and attack, making AI governance essential, and quantum computing raises urgent questions about future-proof encryption.

Cybersecurity success in 2026 will be measured by resilience—how quickly organizations can detect, contain, and recover from inevitable attacks.

For Full Article, Click Here