I have used IBM SPSS Statistics primarily for survey analysis. It did what was necessary, including crosstabs, correlation, regression, chi-squared, and similar analyses that you see in published papers. These are the types of analyses I have used it for in my research.
IBM SPSS Statistics
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Good Analytics tool at market
What do you like best about the product?
Easy to integerate with other tools.
drag and drop option increases time efficiency.
changing and using algorithm and seeing result is good.
easy implementation for recurring datas.
customer care is topnotch
drag and drop option increases time efficiency.
changing and using algorithm and seeing result is good.
easy implementation for recurring datas.
customer care is topnotch
What do you dislike about the product?
visualization part needs improverment.
can incorperate additional algorithms.
can incorperate additional algorithms.
What problems is the product solving and how is that benefiting you?
using for recursive data can be simply automated with it
Best analytic tool
What do you like best about the product?
best analytic tool at market.easy to use.great customer support.gives better accuracy for simple data.
What do you dislike about the product?
user interface is lagging.so many options.can improve dashboarding.can improve integration.
What problems is the product solving and how is that benefiting you?
The drag and drop option lessen the time to use.
one stop solution for statistic analytics and visualization.
one stop solution for statistic analytics and visualization.
All-in Package for statistical analysis
What do you like best about the product?
It helps to research relevant market analysis. The upsides of using it are predictive analysis, data management, a user-friendly interface, and data visualization.
What do you dislike about the product?
The least helpful thing is its high licensing fees and add-ons, which are more on the higher side. The downsides are integration limitations and limited customization.
What problems is the product solving and how is that benefiting you?
It helps in business growth because it let aware about the market research.
It is a good analytic tool for simple and light dataset
What do you like best about the product?
The UI is Good.
can get an overview of our data Quickly.
Automation is good and scaleable.
Drag and drop method enables for easy implemenation.
Customer support is excellent.
can get an overview of our data Quickly.
Automation is good and scaleable.
Drag and drop method enables for easy implemenation.
Customer support is excellent.
What do you dislike about the product?
Can improve visualization and integration part.
Cost is too high compared to features.
By improving the efficienty for larger and complex dataset can improve the number of frequency of usage
Cost is too high compared to features.
By improving the efficienty for larger and complex dataset can improve the number of frequency of usage
What problems is the product solving and how is that benefiting you?
Lessen my time taken to understand the data.
SPSS : A Vital Tool in Market & Social Research
What do you like best about the product?
Robust and Advanced Statistical Analysis
What do you dislike about the product?
Data visualization is not so sophisticated
What problems is the product solving and how is that benefiting you?
Organizing CSAT scores and analyzing in them in quick and accurate way
IBM SPSS: A User-Friendly Tool for Powerful Data Analysis
What do you like best about the product?
IBM SPSS Statistics stands out for its versatility and user-friendliness, making it accessible for users with various levels of statistical expertise. Intuitive interface, data management, automation.
What do you dislike about the product?
High Cost
Limited Customization
Slow Performance with Large Datasets
Limited Advanced Visualization
Dependency on Syntax for Advanced Features
Limited Customization
Slow Performance with Large Datasets
Limited Advanced Visualization
Dependency on Syntax for Advanced Features
What problems is the product solving and how is that benefiting you?
Data Management and Cleaning
Efficient Statistical Analysis
Streamlined Reporting
Efficient Statistical Analysis
Streamlined Reporting
Good for correlation, regression, and chi-squared analyses
What is our primary use case?
How has it helped my organization?
Using IBM SPSS Statistics allowed me to conduct necessary survey analyses for research, including cross-tabs, correlation, regression, and chi-squared analyses, which are often utilized in published papers.
What is most valuable?
IBM SPSS Statistics is good for obtaining necessary results like cross tabs, correlation, regression, and chi-squared analyses. It is perfectly adequate if all you need are the results and not the trail of evidence.
What needs improvement?
For how long have I used the solution?
I have used IBM SPSS Statistics for several decades, over 40 years or more.
What do I think about the stability of the solution?
IBM SPSS Statistics has been pretty reliable for many years.
What do I think about the scalability of the solution?
IBM SPSS Statistics is widely used in universities or organizations with a budget for it, so scalability issues are more about financial constraints than technical ones.
Which solution did I use previously and why did I switch?
Recently, I have moved away from IBM SPSS Statistics and have been using KNIME instead. It's easier, particularly for students. I've been using R alongside KNIME as well.
How was the initial setup?
I did not have to do the initial setup for IBM SPSS Statistics since it was managed by the university.
What about the implementation team?
The university's tech team handled the implementation and setup for IBM SPSS Statistics.
What's my experience with pricing, setup cost, and licensing?
The cost of IBM SPSS Statistics is managed by organizations, not individual researchers. It is a very expensive product, despite being good.
Which other solutions did I evaluate?
Besides IBM SPSS Statistics, I have used KNIME and recently started using R, which is free of charge and more powerful but cumbersome. RStudio is its front end, making it useful to scientists.
What other advice do I have?
While IBM SPSS Statistics is a good product, it is very expensive and might be a better fit for those with a sufficient budget. KNIME provides a desktop version free of charge, which helps users get started.
It's usage benifits and drawbacks
What do you like best about the product?
It can handle large amount of data and very helpful in performing data validation, data modification, data analysis and making charts and reports.
What do you dislike about the product?
It is good software with lots of features but is very slow in terms of processing time.
It literally take 5-6 hours to process 1 lakh raws of data
It literally take 5-6 hours to process 1 lakh raws of data
What problems is the product solving and how is that benefiting you?
Data validation
Data modification
Charts and reports prepration
Data analysis
Data modification
Charts and reports prepration
Data analysis
Its quite helpful in my research work
What do you like best about the product?
Its Fast and efficient perfroms complex statitistical anaylys with ease
What do you dislike about the product?
it should bean open source software so that it is accessible to all
What problems is the product solving and how is that benefiting you?
Analsyis of data during my desertation that includes data cleaning, ttest, chisquaretest,regression analysis.
The software is decent but support is a joke
What do you like best about the product?
I was trained on it so if I need to remember how to do some weird analysis, I can flip back in my stats textbook and use it as a reference.
What do you dislike about the product?
Where do I start? It's expensive, and if something breaks, good luck with support. I've wasted literally a week of time just trying to pay them for my license. I'm not kidding. They outsource to mexico and have a ton of turnover so everytime I try to email our account rep, they're no longer there. I will never use another IBM product.
What problems is the product solving and how is that benefiting you?
Helps me with all quant analysis. Understanding whether a difference is meaningful or random error.
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