IBM SPSS Statistics
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I like SPSS
What do you like best about the product?
I’ve been using IBM SPSS for a while now, mainly for statistical analysis and research projects, and overall it’s a solid tool with a few caveats. On the positive side, the biggest strength of SPSS is that it makes complex statistical analysis far more approachable. The interface is much more user-friendly compared to coding-heavy tools like R or Python, especially for people who aren’t from a hardcore programming background. Running regressions, factor analysis, ANOVA, or even advanced tests becomes very straightforward with the menus and options. The output tables and charts are also clean, easy to export, and presentation-ready, which saves a lot of time.
What do you dislike about the product?
That being said, SPSS does feel a bit dated in some areas. The interface hasn’t evolved much over the years, and sometimes it feels clunky compared to newer platforms. It’s also not the best when it comes to handling really large datasets, performance can get slow. Another downside is the cost. For students it’s manageable with discounted licenses, but for professionals or small organizations, the pricing is quite steep compared to free alternatives like R or Python, which are more flexible if you’re willing to put in the effort to learn coding.
What problems is the product solving and how is that benefiting you?
It helps in the analysis with no time. Saves energy with accurate results
IBM SPSS Statistics: A CMA’s Tool for Data-Driven Decision Making
What do you like best about the product?
Its biggest strength for me beina a CMA Grad is the ability to convert raw financial and operational data into actionable cost insights — quickly and with statistical accuracy.
For a costing and strategy plan, SPSS can:
Analyze historical cost data to find patterns and inefficiencies.
Run predictive models to forecast material, labor, and overhead costs.
Simulate “what-if” scenarios for pricing, product mix, and market conditions.
Quantify risk factors so you can plan contingencies.
The likely win: i am not just preparing budgets — i am building a statistically validated roadmap that supports strategic decisions with evidence, not gut feeling
For a costing and strategy plan, SPSS can:
Analyze historical cost data to find patterns and inefficiencies.
Run predictive models to forecast material, labor, and overhead costs.
Simulate “what-if” scenarios for pricing, product mix, and market conditions.
Quantify risk factors so you can plan contingencies.
The likely win: i am not just preparing budgets — i am building a statistically validated roadmap that supports strategic decisions with evidence, not gut feeling
What do you dislike about the product?
IBM SPSS Statistics has a steep learning curve for financial professionals — its depth in statistical modeling means we can’t just “plug and play” without investing time in mastering its tools.
Hidden strength in this drawback: Once we get comfortable, that very complexity becomes its biggest advantage, enabling us and the organisation to run multi-year cost forecasts, sensitivity analyses, and risk simulations at a level most generic accounting tools can’t touch.
It’s basically saying: Yes, it’s tough at first — but that’s why it’s powerful.
Hidden strength in this drawback: Once we get comfortable, that very complexity becomes its biggest advantage, enabling us and the organisation to run multi-year cost forecasts, sensitivity analyses, and risk simulations at a level most generic accounting tools can’t touch.
It’s basically saying: Yes, it’s tough at first — but that’s why it’s powerful.
What problems is the product solving and how is that benefiting you?
IBM SPSS Statistics helps overcome the common problem of data scattered across multiple spreadsheets, where inconsistencies make analysis unreliable. By cleaning and consolidating this data into a single structured format, it ensures that financial and costing insights are built on a consistent and trustworthy base.
Forecasting for a costing strategy often suffers from over-reliance on assumptions and static models. SPSS addresses this by using predictive analytics, which tests patterns in historical data to project costs, revenues, and market shifts with far greater accuracy than traditional budgeting methods.
Many cost strategies fail to identify the real drivers behind changes in expenses. SPSS solves this through regression and factor analysis, uncovering the hidden variables that most influence cost behavior, enabling CMAs to focus attention and resources on the factors that truly matter.
Risk planning is another area where standard tools fall short, often leaving blind spots. SPSS counters this by quantifying risk probabilities and impacts, turning uncertainty into measurable figures, and supporting the development of well-informed contingency plans that align with long-term strategy.
Forecasting for a costing strategy often suffers from over-reliance on assumptions and static models. SPSS addresses this by using predictive analytics, which tests patterns in historical data to project costs, revenues, and market shifts with far greater accuracy than traditional budgeting methods.
Many cost strategies fail to identify the real drivers behind changes in expenses. SPSS solves this through regression and factor analysis, uncovering the hidden variables that most influence cost behavior, enabling CMAs to focus attention and resources on the factors that truly matter.
Risk planning is another area where standard tools fall short, often leaving blind spots. SPSS counters this by quantifying risk probabilities and impacts, turning uncertainty into measurable figures, and supporting the development of well-informed contingency plans that align with long-term strategy.
Easy to use
What do you like best about the product?
IBM SPSS is a best software to learn. it is easy to use and has best result. It gives exact results.
What do you dislike about the product?
Nothing as such it is some where complicated
What problems is the product solving and how is that benefiting you?
Analysing the data and analysing the different type of data
Reliable and Comprehensive Statistical Tool
What do you like best about the product?
I really like how SPSS makes complex statistical analysis straightforward. The drag-and-drop interface for building tables and running tests saves a lot of time, and the output is well-organized and easy to interpret.
What do you dislike about the product?
The main drawback is that it can feel a bit heavy and slow when working with large datasets.
What problems is the product solving and how is that benefiting you?
IBM SPSS Statistics helps me handle large amounts of data efficiently and run statistical tests without having to code everything manually.
The best software for analysis
What do you like best about the product?
solve sats without writing any code and running regression testing
What do you dislike about the product?
Poor visualization and ux issues and limited options
What problems is the product solving and how is that benefiting you?
regression testting and solving satstical problem
Complete Tool but Needs Usability Improvements
What do you like best about the product?
I find that IBM SPSS Statistics is a very useful and effective tool for managing, reviewing, and analyzing data in my university projects and work areas. It helps me solve statistical problems and perform more reliable analyses of candidates in recruitment. I also value its storage and integration features, which allow me to use it as a database to access and rework previous data when necessary. I consider it a comprehensive tool with very practical advanced features.
What do you dislike about the product?
At the beginning, I found the use of IBM SPSS Statistics a bit complex due to my limited experience and knowledge, preferring more basic tools. I feel that the platform is a bit outdated compared to other alternatives I have used, which complicated my initial adaptation. The setup process to run analyses is especially challenging for me, requiring a high level of manual technicality that I consider unnecessary and complicated for new users. Additionally, I believe the platform could be improved with more updates, such as the integration of artificial intelligence and new tools that make it easier to use, especially for new users. This affected my perception of the software's practicality, so I consider it should be more intuitive.
What problems is the product solving and how is that benefiting you?
I use the product to solve statistical problems and data analysis. It allows me to analytically evaluate candidates in recruitment and offers storage and integration features that make it easier to work with old data.
My Go-to tool for Reliable and Powerful analysis
What do you like best about the product?
Accurate, fast, and easy to use. Best part is how easily it handles complex statistical analysis without making it feel complex. Simple interface, many built in options to work around. “Descriptive” is my favourite.
What do you dislike about the product?
It i had to pick something, it would be the license cost
What problems is the product solving and how is that benefiting you?
Helps me turn raw survey data into actionable and clear data, look into insights, helps in cleaning data. Saves a lot of time and help me quickly visualise patterns in data
IBM SPSS Statistics
What do you like best about the product?
I use SPSS every day working in Institutional Research in Higher Education. I have been using SPSS Statistics since version 9. I also use Custom Tables. This product allows me to easily analyze large amounts of data with ease.
What do you dislike about the product?
The only improvement I would suggest is when merging two data sets together that SPSS automatically assigns variable type and lengths to be the same.
Another thing I miss are prior to IBM taking over SPSS, there were easy and affordable trainings available. Now it is complicated to register for training. I miss that.
Another thing I miss are prior to IBM taking over SPSS, there were easy and affordable trainings available. Now it is complicated to register for training. I miss that.
What problems is the product solving and how is that benefiting you?
It allows me to analyze data with ease. I use every day!
Best tool for learning and analysis
What do you like best about the product?
It is particularly ideal for researchers and business professionals. It is very easy to use and I always appreciate an easy UI. The point and click system can be easily used to perform complex analyses without much knowledge of programming. I use it very frequently. Its easy to implement and I have not yet had to contact customer support.
What do you dislike about the product?
It is not too easy to use for new users especially ones who are unfamiliar with statistical analyses. Integration on other platforms is limited. High licensing costs so unfeasible for students. Lacks flexibility for personalization.
What problems is the product solving and how is that benefiting you?
I do masters research and I find that it helps me analyze complex data very efficiently.
Streamlining Data Analysis - My Affection For IBM SPSS Statistics
What do you like best about the product?
IBM SPSS Statistics is its intuitive interface—making advanced analyses easy without coding, along with strong data management tools
What do you dislike about the product?
I dislike that it can feel expensive, and sometimes runs slowly with very large datasets
What problems is the product solving and how is that benefiting you?
IBM SPSS Statistics solves the problem of complex data analysis by offering easy-to-use statistical tools, helping me analyze large datasets, visualize trends, and generate professional reports efficiently. This benefits me by saving time and improving research accuracy for better decision
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