TrustRadius Insights for IBM SPSS Statistics are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Pros
Ease of Use: Users have praised the software for its user-friendly interface, making it simple to conduct statistical analyses and data visualization efficiently. The intuitive graphical user interface system has been highlighted as a key factor in enhancing the overall user experience.
Wide Range of Statistical Methods: Reviewers appreciate the availability of various statistical methods and algorithms within the software, enabling easy application in different types of analyses. This diverse range allows users to choose the most suitable approach for their specific analytical needs.
Efficient Data Handling: Many users value the software's capability to handle large and complex datasets effectively, ensuring accurate and quick analysis. This efficient data management feature streamlines processes and improves productivity for users across various industries.
SPSS allows our research team to run statistical analyses on large data sets, extracting the key insights, themes, and patterns in the data. It can detect significance, correlations, and relationships between our relevant variables, such as user satisfaction and produce usage. The ability to visualize the data also helps us in creating research reports to share our findings.
Pros
Integration and deployment
Service
Support
Cons
Price is a little bit high
For complex analysis it takes more setup
There are also various quirks of the tool that create some friction in the user experience
Likelihood to Recommend
The powerful statistical functionality of the tool is a game-changer for analysis and reporting. The user interface is also very easy to use, even for novice analysts. SPSS is a solid tool, but there are some downsides, such as its price. While the cost is low per user, especially for an enterprise tool, there is also the option to try similar free software. Also, despite its simple "point and click" interface, this simplicity does have its limitations.
We use IBM SPSS Statistics in our research studies for Quantitative data. The feature set is very easy to learn. The training that is given on the product is also very well done and accessible. I have used it in several studies for the university and plan to use in several of my future studies.
Pros
User Interface
The variety of feature sets
Ease of Use
Cons
Use of Delphi
Ai feature sets
.
Likelihood to Recommend
I have stated before the ease of use and functionality of the system. Also the training and support behind the product is very well done. The site and instructional videos that of offered are exceptional. When ever we have a problem with the software, customer support is great and knowledgeable.
VU
Verified User
Account Manager in Information Technology (1001-5000 employees)
We are using IBM SPSS Statistics for our employee fraud module we developed to check and find unexpected actions taken place by our employees
Pros
data clearance
reaching data in a simple way
getting expected data in expected way
Cons
make it more user friendly
Likelihood to Recommend
in our bank, transaction data is very high, so <i>IBM SPSS Statistics helped us to summarize data with the scenarios that we created to reach what we need to see in our reports created.</i>
We use SPSS Stats to gain insights into our data and customers data. With customers data, we help them gain insights about customer problems such as: 1) Customer acquisition. 2) Marketing campaigns. 3) Predictive Analysts.
Pros
Predictive Analytics
Prescriptive Analytics
Cons
Would like to see SPSS Analytics & Modeler together.
User Interface
Likelihood to Recommend
I think SPSS Statistics is best suited for forecasting and leveraging predictive models. The soution can also take on large datasets.
I use IBM SPSS Statistics for: Access to data in different formats (Excel, Oracle, Csv. etc) Transformation and creation of various indicators. I currently use IBM SPSS Statistics software to make sales forecasts with external variables that help me identify which variables impact the sales. Also used to perform Churn analyzes using logistic regression and decision making techniques. Great ease of interpretation and no need for programming by doing everything through the menu and saving the program with a single button.
Utilizo IBM SPSS Statistics para: Acesso a dados em diversos formatos (Excel, Oracle, Csv. etc) Transformação e criação de variáveis e indicadores. Atualmente utilizo o software IBM SPSS Statistics para realizar previsões de vendas com variáveis externas que me ajudam a identificar quais variáveis impactam as vendas. Também o utilizo para realizar análises de Churn usando regressão logística e técnicas de árvore de decisão. Grande facilidade de interpretação e sem necessidade de programação realizando tudo através do menu e salvando a programação com um único botão.
Pros
Access to various databases
Data transformation and works very well with dates
Creation of visualization tables with different levels
Ease of creating different models with different techniques
Cons
Add button that transforms IBM SPSS Statistics syntax into python
Outputs results in format like Cognos
Place the mouse on the column and it will show a distribution graph
Likelihood to Recommend
Very good to create and implement statistical models to resolve problems such as (Churn, Buying Propensity, Sales Forecast, Statistical Tests). Transformation of data into Amigavel form, processing with data variations. Better integrate with Python and export better to Excel, being able to export and use the same resources for Power Point and Excel.
Muito bom para criar e implementar modelos estatísticos para resolver problemas como (Churn, Propensão de Compra, Previsão de Vendas, Testes Estatísticos). Transformação de dados de forma amigavel,tratamento com variáveis de data. Melhorar a integração com Python e exportar melhor para Excel, podendo exportar e utilizar os mesmos recursos para Power Point e Excel.
<i>Parts of this review were originally written in Portuguese and have been translated into English using a third-party translation tool. While we strive for accuracy, some nuances or meanings may not be perfectly captured.</i>
IBM SPSS Statistics has been very helpful in our data management, data visualization, predictive modeling, and other statistical areas. IBM SPSS Statistics is a powerful and versatile statistical software that is well-suited for a wide range of data analysis tasks. Its user-friendly interface, extensive statistical capabilities, and strong support infrastructure make it a valuable tool for researchers, analysts, and businesses alike
Pros
Data Management
Data Visualization
Predictive Modeling
Cons
Cost
Customization
Visualizations
Likelihood to Recommend
Robust features are included in IBM SPSS Statistics which help ensure high accuracy and extracting detailed insights from data. Separate interface tools for Advanced statistics like Regression Analysis and Decision trees are unique to this software. SPSS Modeler supports our Data Science team with GUI based algorithms and enterprise level security features.
VU
Verified User
Project Manager in Finance and Accounting (51-200 employees)
In general, I have a good impression about using IBM SPSS Statistics. In this regard, I find that the software is highly prospective in matters related to analytics, whereby I can analyze big data properly without much difficulty. This absolutely applies to graph, its interface is very friendly and there is a lot of information for those who are unfamiliar with the methods of working with complex statistical tools.
Pros
The analysis as well as the visualization functions are easy to use for both the basic and the more skilled users.
The software has undergone development to come up with simplified ways of handling data
It involves data handling techniques that include data cleaning, conversion, and joining that enable proper handling of large data
Cons
For instance on computers with low specifications, other operations in the program may become slightly sluggish.
Some basic and additional components and processes are sold separately.
A high cost is incurred during the initial implementation and installation process and may also require dealer's expert intervention for the customization process
Likelihood to Recommend
Due to its strengths in the analysis of numeric, ratio/interval and other structured data, with defined variables, in particular, it is rather effective in such pieces of work as analysis of large datasets with various trends and patterns that are significant for operational in our company.
Provides us with insight into basic statistical type of analysis related to our Construction business and specifically our estimating data. As Excel has limitations in handling large datasets of volume which we require to analyze and compare, this platform gives us an effective tool in order to achieve a simple way to evaluate and interpret the results.
Pros
Reporting the results/findings
Assists in preparing the data set quickly
Efficient in providing an evaluation of the analysis
Cons
Could be more user freindly
Reports could be better
Cost/pricing
Likelihood to Recommend
IBM SPSS Statistics puts constraints on internal file structure as well as data types and data processing, in addition to matching files. All this ability combined considerably simplifies programming. The datasets have two-dimensional table structures where the rows represent specific cases and the columns represent measurements. All data processing then occurs sequentially case-by-case through the file.
