In an era when enterprises generate more than 2.5 quintillion bytes of data per day, most of it still goes untapped. OnX, a leading provider of AI-ready IT solutions, wants to change that. The company has launched its Data Analytics Services, a new offering designed to help organizations unify their data, extract actionable insights, and accelerate their move toward AI-powered innovation.
According to Forrester, nearly 75% of enterprise data goes unanalyzed—a staggering figure given the push toward digital transformation and AI adoption. OnX’s new service aims to flip that statistic by giving enterprises a comprehensive, end-to-end analytics framework built for the modern, data-centric business.
Building a Foundation for the AI Era
The OnX Data Analytics Services package provides what the company calls a “unified strategy for real-time intelligence.” It’s a full-stack approach encompassing:
- Modern data architecture: Cloud-based, centralized repositories that eliminate silos and enable scalable analytics.
- Data integration and governance: Systems that ensure quality, compliance, and security enterprise-wide.
- Advanced analytics and AI readiness: Tailored BI and machine learning solutions aligned with business goals.
- Training and change management: Education programs to raise data literacy and encourage organization-wide adoption.
“Our goal is to enable enterprises to fully unlock the business value hidden in their data,” said Paul Khawaja, President and CEO of OnX. “By providing a structured, cloud-based analytics framework with built-in governance and AI enablement, we help our clients make confident, data-driven decisions and prepare for the next wave of intelligent technologies.”
Data Strategy Meets Business Outcomes
OnX’s timing couldn’t be better. As enterprises ramp up investments in generative AI, the demand for clean, well-governed, real-time data pipelines has surged. Most organizations now realize that without a strong analytics foundation, AI initiatives are doomed to produce flashy proofs of concept but little lasting value.
By emphasizing governance, integration, and scalability, OnX’s solution bridges the gap between business intelligence and AI enablement—helping organizations shift from reactive reporting to predictive, automated decision-making.
The company says early adopters can expect measurable gains in forecasting accuracy, operational efficiency, and strategic agility—while laying the groundwork for future technologies such as IoT, edge analytics, and autonomous systems.
Why It Matters
With cloud modernization and data democratization topping most CIO agendas, OnX’s new offering aligns with a broader enterprise trend: turning analytics into a strategic enabler rather than a back-office function. By integrating training and governance into its analytics platform, OnX positions itself not just as a vendor, but as a long-term transformation partner for businesses preparing to scale AI responsibly.
The message is clear: before AI can deliver intelligence, data itself must become intelligent. OnX’s Data Analytics Services could be the roadmap many enterprises have been missing.
