User in Research
1 review written · 4.0 average
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Reviews by User in Research
★★★★★
"TrendMiner is really helpful for analytics" What do you like best? TrendMiner was very useful in capturing the trend and seasonality in the dataset I was working on. I initially used python statsmodel to separate the trend, level, and seasonal components but that was not as helpful as using TrendMiner. Also, the documentation is really good. What do you dislike? TrendMiner is quite pricy. I wish it was a little affordable. Another thing is the performance, sometimes it takes a lot of processing time. What problems are you solving with the product? What benefits have you realized? I'm working with anomaly detection and reconciliation. I continuously do time series analysis on various datasets to detect anomalies and sometimes find the correlation between two series to check for the causality relations. TrendMiner provides a good interface and is easy to use.
