Best Statistical Analysis Solution with less hassle
March 06, 2024

Best Statistical Analysis Solution with less hassle

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Modules Used

  • IBM SPSS Statistics

Overall Satisfaction with IBM SPSS Statistics

I use IBM SPSS Statistics mainly for analysis and prediction based on my existing data for improving user experience, analysing software crashes and predicting next targets for sales and acquisitions. While I used common analytics tools like Microsoft Clarity, Google Analytics, Firebase Analytics, etc. but they just do it as basic level. My requirements were to dive deeper on those data, and wanted to derive outcomes using various methodologies. Upon researching, I found out about this, and decided to give it a try. And till now, it works perfectly for me.
  • Comes with various in-bulit algorithms for easy apply
  • Data Analysis and deriving outcomes
  • End-to-End Statistical procedures within the same Software suite
  • Easy to use Interface
  • First time setup of software has glitches, i.e. infinite sign-in loop.
  • Need to purchase add-ons separately for advanced algorithms and features.
  • UI looks outdated.
  • Increased ROI as does well in analysis
  • Increased productivity
  • Less Hassle, more work
It actually increased overall productivity, as hassle in reduces and time for statistical analysis decreased with ready-made modules.
Revenue growth is seen as outcomes from the analysis come to true and has better impact in decision making.
Deriving outcomes using the statistical analysis is the major advantage over all the above tools.

Do you think IBM SPSS Statistics delivers good value for the price?

Yes

Are you happy with IBM SPSS Statistics's feature set?

Yes

Did IBM SPSS Statistics live up to sales and marketing promises?

Yes

Did implementation of IBM SPSS Statistics go as expected?

Yes

Would you buy IBM SPSS Statistics again?

Yes

It all depends on your overall usage and requirements. If you are a normal users who doesn't want to go deeper in how algorithms works and mathematical intuition behind them, they this is perfect statistical tool for you. But you are in technical side, want to learn how those algorithms and mathematics works, and have plenty of time to design your own algorithm using Python, R, Scala, Julia, or any other languages, then you can avoid this. Overall, it is for the users, who just want easy to use solution.