I like Seeq because it’s very useful for production surveillance. It provides detailed insights, like the ability to view data down to the minute, which is helpful for tracking when a well goes offline. This feature is particularly beneficial for our needs. However, we don’t use Seeq for predictive analytics; we handle that with other software.
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.
The tool's most valuable feature is connectivity and visualization. Seeq is a very good product for analyzing time series data using its time intelligence and time performance features.
Regarding AI, I wish Seeq had AI capabilities. For instance, if Seeq could analyze graphs and offer recommendations, it would be advantageous. Currently, there is no AI feature in Seeq.
In terms of improvements, it would be great if Seeq could enhance its data export features and possibly integrate more functionalities to reduce the need for multiple software tools. I would like a specific feature related to predictive analysis, which Seeq currently lacks.
I have noticed that Seeq sometimes struggles with connectivity issues, leading to data gaps. This is an area that needs improvement. While connecting to data, sometimes, due to connection loss or issues with the tool itself, the tags may not display any trends, resulting in missing information.
