Insights that evolve with your business
Many organizations want to start working with AI but discover that its effectiveness directly depends on the quality and suitability of the underlying data. Information is fragmented, becomes available too late, or remains stuck in BI reports. Meanwhile, the greatest value often emerges at the edges of the network: where devices operate, processes run, and decisions need to be made. Without a reliable data layer, without context, and without the ability to adjust processes in real-time, much potential remains untapped. This is precisely the challenge Nalta solves.
Nalta brings intelligence to where it matters. We combine data from systems, chains, sensors, and IoT devices into immediately applicable insights, based on our core principles of Trust, Context, and Adaptability:
- Real-time insight: always knowing what's happening
- Predictive power: anticipating what's coming
- Automated actions: self-correcting processes
We combine predictive models, smart event processing, AI models, machine learning, and intelligent edge logic into one reliable, context-rich data layer that evolves with your business.
Insights that are immediately translated into action
Sometimes intelligence simply must reside at the source. Like the solution we built for a client who ships packages worldwide. Even if the connection temporarily drops, the process continues uninterrupted. Local intelligence knows exactly which barcodes, labels, and data are needed and ensures that the process can continue independently for a certain period when other systems are temporarily unavailable.
Simultaneously, in the backend – whether in a data center or the cloud – we create insights from applications, events, and transactions that provide operational, commercial, and strategic direction. And insight only becomes valuable when it *does* something. That's why we set up intelligent triggers that act directly for the business: from alerts for abnormal sensor values to workflows for threshold breaches and recommendations in portals or apps based on user behavior.
Veelgestelde vragen
When do you need Data Intelligence?
You need Data Intelligence when you want real-time insight into your processes, want to predict instead of react, data is spread across multiple systems, and when you want to improve automation with AI.
What is the difference between Data Intelligence and BI?
Business intelligence primarily focuses on reports and historical analyses, while Data Intelligence goes further with real-time insights, AI models, and automated actions. The goal is not just to understand, but also to react immediately.
How do you turn insights into action?
With Data Intelligence, insights are directly linked to actions via triggers and workflows. This includes alerts for anomalies, automatic process adjustments, and recommendations in apps or dashboards based on what is happening at that moment.
What specific benefits does Data Intelligence offer?
Data Intelligence provides better insight into processes and performance, faster reaction to change, lower costs through more efficient operations, and higher customer satisfaction because decisions are made better and faster.
Does Data Intelligence work with my existing systems?
Data Intelligence integrates with existing systems through integrations and APIs, enriching existing data and processes without requiring a complete overhaul.
