Seeq Reviews

I've been an administrator for about a year and a half, working on proof of concept reports in pharmaceutical environments. We use the solution for notifications, reviewing information, and alarm details for troubleshooting. I've built reports that help us manage notifications and statuses for equipment. Being able to tie in databases to that information is really beneficial. We can pull in data from our maintenance management system and use the location status for equipment that gets moved around, along with whether they're connected.

I love how easy Seeq is to use and how quickly you can build an analysis. I've worked in the manufacturing industry for over 30 years, setting up data collection systems to record historical data. Usually, we were trending that data, which isn't very valuable. Being able actually to find value in historical data with Seeq has been great. It's quick and easy to set up monitoring and eliminate nuisance alarms. For example, process alarms typically go off mid-batch when adding materials, causing things to go out of spec. This used to create hundreds of nuisance alarms, but the tool reduces it to just the important ones.

Having some prior experience with manufacturing data is helpful, but I think the average user can get up to speed with a quick 25-minute tutorial and start doing useful things in Seeq in less than an hour. I've worked with a lot of software that tries to do similar things, and it's often taken weeks of training. Those tools were hard, and only advanced engineers or data scientists could use them.

I have used the AI capabilities. It's pretty cool and has helped me on several occasions when building reports.

I have been using the product for a year and a half. 

We have encountered minor bugs. 

The solution is SaaS-based, and it scales well. I rate it a ten out of ten. 

I've worked closely with support, who's very responsive to feedback. If we identify things we'd like it to do or something isn't working as expected, they're quick to address it. They often add requested features in future releases. They add new features and improvements about four times a year. They've incorporated several of our requests as new features. They're probably one of the most attentive and responsive companies I've ever worked with regarding software.

The solution is worth its cost. 

The solution's pricing is comparable to other products. 

The tool offers a fast way to understand what's happening and see your data in a way that will bring value to your company. I rate it a nine out of ten. 

I generally use it for time series data analysis. Seeq is famous for doing time series analysis, like statistical process control, quality control, and different types of analyses like regression analysis or correlation relationships. All these different kinds of analysis can be done in Seeq, which is very efficient.

It's an analytical tool, so it supports all the analytical problems. That is the reason we chose Seeq. It generally supports whatever you need, and that is it. We didn't face any challenges while integrating it. 

There are multiple valuable features, and similar things can be done with different tools. But we found Seeq to be very useful because it can be done easily and with less time. 

For example, we can do SPC with Power BI or Excel, but with Seeq, it can be done more easily. Most importantly, we can get real-time value, which is important.

The analytical part is fine. We can do our analysis. But the dashboard, where we approve the dashboard, is not ideal for someone who uses Seeq only as a tool to see data in a report format. 

Seeq Workbench, Seeq Organizer, and Seeq Data Lab are great platforms where we do our analysis, but if they could add features to Seeq Organizer for publishing reports, that would be helpful. 

Currently, there are many tools on the market that provide aesthetic dashboards, like Power BI or Tableau. These tools make it easy to create reports that are understandable even for those who don't know anything about the data. So, Seeq could work on the reporting format, but the analytical tool is excellent.

I have been using it for two years. 

I haven't found a lot of bugs, but sometimes it crashes/lags. Very rarely, though. It might be an issue with your internet or CPU load. I don't have that much experience with bugs in Seeq.

The usage depends on different projects and plans. There are more than 10 or 20 people are using it.

The customer service and support are good. They reply within 24 hours. 

We can raise a ticket and ask for help. They will help you. I'm happy with the support. 

Positive

The initial setup and installation of Seeq are very easy because they also help you with the installation. 

I have done a couple of installations and upgrades, and it's not that hard. It's very easy and not time-consuming. 

The first thing is to figure out where your data is coming from, whether it's Snowflake or another source. Then, the integration is completely easy.

My advice/recommendation depends on the kind of problem the user wants to solve. If the problem is to find a reporting tool, there are a lot of tools on the market. It completely depends on the problem the user is going to solve. 

I cannot simply suggest if you should use Seeq or not. First, you have to know what you are using it for and why you are using it.

I would recommend it as an advanced analytics tool for processing different manufacturing data. It's easy to learn to use Seeq, but you need to have some knowledge of analytics or process engineering. Otherwise, with anything you learn, you have to give some time to the software.

Overall, I would rate the solution a seven out of ten. It's a great platform, a very powerful platform to work with. We can add a lot of machine learning stuff and customize the data in Seeq. 

But they need to improve in a few areas, like the reporting part and customizing the dashboard. Seeq can improve those in future upgrades. Currently, there are a lot of powerful tools on the market similar to Seeq.

I'm a process engineer in the oil and gas field. I use the solution for daily monitoring, surveillance, and time series analysis, where I can build prediction models and root-cause failure models. We're building a model with Seeq.

Seeq has a lot of beneficial features for process engineers like us. The solution's most valuable feature is the prediction model. We can see the picture only for a particular time if we highlight certain conditions, a certain timeline, or some boundary or threshold.

Suppose you want to do a failure analysis to see what went wrong. We'll give a threshold to parameters, highlighting my parameters, what went wrong, and how it went wrong. I can build a relatively small model or deep analysis to show the parameters or contributors for a failure analysis.

Seeq is evolving. We only included time series analysis in the first version. Going forward, we introduced many complex Seeq tables. You give the temperature and pressure, and the solution will give you the enthalpy of steam. It would be wonderful if a time series model could be built with the thermodynamic package. We have Aspen Hysys for thermodynamic package dissimulation. When we interpret both, it will be magical.

I have been using Seeq for five years.

The solution does not break down, but there will be a delay in buffering or caching if you are caching data for more than ten years. That usually happens due to the size and capacity.

I rate the solution’s stability an eight out of ten.

I'll create a model for one piece of equipment and scale it up to hundreds of pieces of equipment.

I rate the solution a nine out of ten for scalability.

The solution's technical support is very good. Customers have a weekly support call with Seeq. You can also contact Seeq support engineers, who will help you with whatever you need. Also, you can write your doubts on the Seeq forum. Experts or anyone well-versed in Seeq will answer your doubts.

Positive

The solution's initial setup is very simple. You'll have a virtual server either in the cloud or on-premise, and the installation takes just half an hour because it's a web-based application.

Seeq is a tool that does not store any of your data. It will only cache the data and show it on display. Whether it is an on-premise or cloud version, you cannot hamper any data on Seeq security-wise. Just like Google searches for information from the website, Seeq will buffer the information from the historian and display trends or values. The solution does not have much of a data breach or safety issue.

Seeq is not a tool that requires a programming background. It's just a point-and-click tool that is for everyone. The idea behind Seeq is democratizing data analytics for everyone. You don't need to have any rigorous programming knowledge. Instead, basic knowledge of how the tools work is fine.

There is something called Data Lab in Seeq, where an advanced Python algorithm is used to deploy AI and ML models. It has already been developed, but not on a very large scale. We don't know its potential yet. It has the capacity, but no one has explored its maximum potential because we are limited in our use cases. We are exploring it, and it can be deployed for a big-scale project for advanced predictions.

I would recommend the solution to other users. If you want a feature, you can discuss it with the developer team. If it is a useful feature, it will be applied to everyone. They will develop this as a feature, which will be included in the subsequent releases of Seeq. Seeq is evolving by hearing a lot from the audience.

Overall, I rate the solution a nine out of ten.

I primarily use Seeq to monitor various process tags and notify me when they are outside the expected parameters. The software allows me to analyze substantial amounts of data, which I find quite interesting and valuable.

I particularly appreciate the conditional analysis feature, which allows me to analyze how equipment behaves under specific conditions. I can easily check performance metrics, such as when a pump runs above a certain RPM, and view all relevant data on a single screen.

The technical support services need improvement. 

I have been using Seeq for just over a year. I started using it when I transitioned to one of the surveillance tools.

The product is stable. However, we encounter occasional network issues affecting performance. I rate the stability a seven out of ten.

The support team has been quite helpful, although identifying the root cause of issues can sometimes be challenging due to the system's complexity.

The deployment process is straightforward as long as you can access the server from which you will retrieve data. Overall, I find it quite easy to set up.

Seeq is accessible to anyone, although some prior experience in data analysis can be beneficial for more complex tasks.

The predictive analytics features have been instrumental in catching excursions early, allowing us to monitor conditions proactively and prevent issues from escalating.

I recommend the solution, but I advise potential users to consider the limitations of its exporting options.

I rate it a seven out of ten.