APERIO is excited to announce the release of DataWise 4.1.0, a significant update that continues to lead the way in empowering industrial operations teams to manage data quality more efficiently and with greater precision.
This release brings enhanced capabilities for navigating and configuring complex datasets, with a strong focus on integration with AVEVA’s PI Asset Framework.
As industrial companies continue to adopt A.I. at a faster pace, there is a growing need to ensure that the operational data that is fed into A.I. models is validated and reflects the true state of the assets. DataWise 4.1.0 addresses this challenge head-on by introducing a suite of sophisticated tools designed to simplify data quality workflows, reduce manual effort, and help teams act faster when data quality dips and the insights gained from that data become unreliable.
“We’re in the lucky position to be working with some of the biggest players in chemical manufacturing, oil & gas and other process-driven industries around the globe.” Said Jane Arnold, APERIO’s Chief Customer Officer. “We’ve listened closely to our users – especially teams that oversee operational data. Their feedback has been invaluable in driving this release, and the overall direction of our R&D. More than ever DataWise makes it easier for operations teams to spot data quality issues quickly and diagnose them with pinpoint precision.”
Key New Features in DataWise 4.1.0
Expanded Support for AVEVA PI Asset Framework
Many customers rely on AVEVA’s PI Asset Framework (AF) to model complex plant and equipment hierarchies. DataWise 4.1.0 expands support for AF, allowing users to work directly within their familiar structure and significantly improving usability for large teams.
New Navigation and Search Tools Include:
- Portal Overview Navigation
See a high-level snapshot of your data quality organized by Asset Framework. This birds-eye view makes it easier to identify underperforming units, sites, or equipment at a glance.
Figure 1: Portal Overview Navigation
- Channels Navigation
A reworked list-based navigation experience lets users explore their AF hierarchy with clarity and precision, providing vital context for each channel and reducing guesswork during analysis.
Figure 2: Channel Navigation
- Channel Search Enhancements
The search bar now returns more structured, granular results. Data is grouped by nodes, scopes, and individual channels, helping users quickly find what they’re looking for—especially useful in large-scale deployments with thousands of signals.
Figure 3: Channel Ehancements
Control Group Management
A brand-new interface for managing Control Groups offers a faster, more intuitive way to define and maintain groups of related data signals. These groups include thresholds or triggers that identify dynamic periods of inactivity. This is essential for reducing false positives to focus on the early signs of process drift and sensor degradation. Users can now easily create, edit, and delete Control Groups to reflect their operational needs in real time.
Figure 4: Control Group Management
What This Means to You
Data quality is foundational to any AI deployment, predictive maintenance or industrial analytics strategy. Poor-quality data not only clouds insight but can lead to incorrect decisions, inefficient operations, and missed opportunities. With 4.1.0, DataWise strengthens APERIO’s position as a vital layer in the industrial tech stack, bridging the gap between raw sensor data and trusted decision-making.
Whether you’re managing a single facility or a global network of plants, DataWise 4.1.0 helps your teams act faster, spot trends sooner, and maintain confidence in the integrity of your operational data.
See It for Yourself
DataWise 4.1.0 is available now. To schedule a demo or learn more about how it can enhance your data quality strategy, email [email protected] or book a demo here.