FAQs
Your Questions Bring Us Joy – The First Spark of a Great Conversation. Browse these FAQs, or better yet, let’s talk yours through.
Frequently Asked Questions
1. We already use a SCADA system. Why do we need Seeq?
SCADA systems are critical for real-time control, monitoring, and alarming, but they are not built for advanced time-series analytics. Seeq doesn’t replace your SCADA; it enhances it by enabling you to:
Analyze large volumes of historical data across systems
Perform advanced pattern recognition and anomaly detection
Create dynamic dashboards and reports that go beyond basic trends
Enable non-programmers to build and reuse analytics models easily
In short, Seeq bridges the gap between monitoring and true operational intelligence, empowering engineers and analysts to turn raw SCADA data into actionable insights.
Analyze large volumes of historical data across systems
Perform advanced pattern recognition and anomaly detection
Create dynamic dashboards and reports that go beyond basic trends
Enable non-programmers to build and reuse analytics models easily
In short, Seeq bridges the gap between monitoring and true operational intelligence, empowering engineers and analysts to turn raw SCADA data into actionable insights.
2. Our automation team builds predictive models. How is Seeq different or better?
Your automation team likely builds predictive models using custom code or data science tools, which may be limited to a small group of technical experts. Seeq democratizes this capability by:
Allowing domain experts (process engineers, operators) to build models without writing code
Reducing development time from weeks to hours with pre-built functions for signal cleansing, anomaly detection, and forecasting
Integrating seamlessly with Python and machine learning models for hybrid workflows
Providing an audit trail and visual documentation of logic for easier model validation
Seeq complements your existing team and frees up valuable engineering time by enabling a broader group of users to explore and model data independently.
Allowing domain experts (process engineers, operators) to build models without writing code
Reducing development time from weeks to hours with pre-built functions for signal cleansing, anomaly detection, and forecasting
Integrating seamlessly with Python and machine learning models for hybrid workflows
Providing an audit trail and visual documentation of logic for easier model validation
Seeq complements your existing team and frees up valuable engineering time by enabling a broader group of users to explore and model data independently.
3. Our data historians like OSI PI or AVEVA already store all our data. What added value does Seeq bring?
Historians like OSI PI and AVEVA are excellent at storing and retrieving time-series data, but their core function is not analytics. Seeq adds significant value by:
Enabling fast, multi-source analytics without exporting data
Providing context-aware visualizations, time-windowing, and batch comparisons
Allowing users to link process data with metadata like maintenance logs, lab data, and MES systems
Enabling event detection, root cause analysis, and production optimization at scale
In essence, Seeq turns your data historian into a full-fledged industrial analytics platform without duplicating infrastructure.
Enabling fast, multi-source analytics without exporting data
Providing context-aware visualizations, time-windowing, and batch comparisons
Allowing users to link process data with metadata like maintenance logs, lab data, and MES systems
Enabling event detection, root cause analysis, and production optimization at scale
In essence, Seeq turns your data historian into a full-fledged industrial analytics platform without duplicating infrastructure.
4. Can Seeq integrate with our existing systems like OSI PI, AVEVA, or Honeywell PHD?
Yes, Seeq is built for seamless integration with leading historians and control systems including:
OSIsoft PI System (native connection, no intermediate database needed)
AVEVA Historian
AspenTech InfoPlus.21
Honeywell PHD
GE Proficy
MQTT and OPC UA
And many more
It also supports connection to cloud platforms like AWS, Azure, and Snowflake. Integration is non-intrusive—no changes are required in your existing systems, and your data stays where it is.
OSIsoft PI System (native connection, no intermediate database needed)
AVEVA Historian
AspenTech InfoPlus.21
Honeywell PHD
GE Proficy
MQTT and OPC UA
And many more
It also supports connection to cloud platforms like AWS, Azure, and Snowflake. Integration is non-intrusive—no changes are required in your existing systems, and your data stays where it is.
5. We’ve already developed our own in-house analytics tools. Why consider Seeq?
In-house tools are often tailored to your environment, but they typically:
Require continuous maintenance and developer support
Lack flexibility for ad hoc analysis by non-developers
Are not scalable across multiple teams or plants
Seeq brings:
A governed, self-service platform for a wider user base
Constant updates and new features without added development time
Easy reuse of analytics logic and templates across teams
Faster time to insight, reducing reliance on IT for every custom request
It can coexist with your internal tools and act as a unified front-end for analysis.
Require continuous maintenance and developer support
Lack flexibility for ad hoc analysis by non-developers
Are not scalable across multiple teams or plants
Seeq brings:
A governed, self-service platform for a wider user base
Constant updates and new features without added development time
Easy reuse of analytics logic and templates across teams
Faster time to insight, reducing reliance on IT for every custom request
It can coexist with your internal tools and act as a unified front-end for analysis.
6. How does Seeq support collaboration between teams?
Seeq was designed with collaboration in mind. It provides:
Shared workbooks and dashboards where teams can co-develop insights
Web-based commenting and annotation features
Version control and change tracking for audit and compliance
Integration with Microsoft Teams, Excel, PowerPoint, and email for sharing results
By enabling cross-functional teams to work in a single environment, Seeq breaks down data silos and fosters a culture of data-driven decision-making.
Shared workbooks and dashboards where teams can co-develop insights
Web-based commenting and annotation features
Version control and change tracking for audit and compliance
Integration with Microsoft Teams, Excel, PowerPoint, and email for sharing results
By enabling cross-functional teams to work in a single environment, Seeq breaks down data silos and fosters a culture of data-driven decision-making.
7. Will Seeq require data to be moved to the cloud or another database?
No, Seeq works with your data in-place. That means:
No need to migrate or duplicate data
No risk to your existing infrastructure
Faster deployment without lengthy data integration projects
It connects directly to your data sources—whether they are on-premises or cloud-based—through secure connectors and protocols, giving you real-time access to your operational data for analytics.
No need to migrate or duplicate data
No risk to your existing infrastructure
Faster deployment without lengthy data integration projects
It connects directly to your data sources—whether they are on-premises or cloud-based—through secure connectors and protocols, giving you real-time access to your operational data for analytics.
8. Is Seeq only useful for predictive maintenance use cases?
No. While predictive maintenance is a popular application, Seeq supports a broad range of use cases including:
Process optimization and yield improvement
Quality monitoring and deviation detection
Batch process comparison and campaign analytics
Energy usage and emissions tracking
Root cause analysis for production issues
Regulatory reporting with traceable analytics workflows
Its flexibility makes it ideal for various departments—operations, quality, reliability, energy, and R&D
Process optimization and yield improvement
Quality monitoring and deviation detection
Batch process comparison and campaign analytics
Energy usage and emissions tracking
Root cause analysis for production issues
Regulatory reporting with traceable analytics workflows
Its flexibility makes it ideal for various departments—operations, quality, reliability, energy, and R&D
9. How long does it take to implement Seeq in an industrial environment?
Seeq is designed for rapid deployment. In most cases:
Initial setup can be done in a few days
Users can begin analyzing data almost immediately
No new infrastructure or hardware is required
Training sessions are short and intuitive, with a gentle learning curve
Compared to traditional analytics projects that can take months, Seeq delivers value fast—typically within the first few weeks of adoption.
Initial setup can be done in a few days
Users can begin analyzing data almost immediately
No new infrastructure or hardware is required
Training sessions are short and intuitive, with a gentle learning curve
Compared to traditional analytics projects that can take months, Seeq delivers value fast—typically within the first few weeks of adoption.
10. We have strict data security protocols. Is Seeq secure enough for us
Yes, Seeq is enterprise-ready and adheres to stringent security standards. It offers:
Role-based access control and data visibility restrictions
Full audit trails for compliance
Support for on-premise, private cloud, or hybrid deployment
Integration with corporate identity providers (e.g., Active Directory, SSO)
Secure communication protocols and encryption
You maintain full control over your data, and Seeq conforms to IT and cybersecurity policies commonly enforced in regulated industries like pharma, oil & gas, and chemicals.
Role-based access control and data visibility restrictions
Full audit trails for compliance
Support for on-premise, private cloud, or hybrid deployment
Integration with corporate identity providers (e.g., Active Directory, SSO)
Secure communication protocols and encryption
You maintain full control over your data, and Seeq conforms to IT and cybersecurity policies commonly enforced in regulated industries like pharma, oil & gas, and chemicals.
Consider this your invitation to ask more!
Call us directly, submit a sample or email us!
