SPSS Statistics Reviews & Pricing

by IBM | Founded 1968, Chicago, IL

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What is SPSS Statistics?

Industry Specialties: Serves all industries

IBM SPSS, or Statistical Product and Service Solutions, is a data analysis platform that provides advanced statistical insights to propel business decision-making and research by crunching large datasets. With a user-friendly interface, it empowers everyone from basic users to experienced data scientists to perform statistical analysis. Scalable and agile, it is suitable for companies of all sizes.

Users can purchase it through an on-premises license or a subscription plan to a hybrid SaaS. Users who choose either monthly or annual subscription receive access to the base version and can choose which of three optional add-ons to include, if any, between Custom Tables and Advanced Statistics, Complex Sampling and Testing, and Forecasting and Decision Trees.

Perpetual and term licensees can choose between four editions that offer different levels of functionality: Base, standard, professional and premium. It was first launched as Statistical Package for the Social Sciences by three Stanford students in 1968 and later acquired by IBM in 2009.

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User Sentiment i

Based on 1881 reviews:

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#86

SPSS Statistics is ranked #86 in the Business Intelligence Tools product directory based on the latest available data collected by SelectHub. Compare the leaders with our In-Depth Report.

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SPSS Statistics Pricing

Based on our most recent analysis, SPSS Statistics pricing starts at $99 (Monthly).

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Starting From: $99
Pricing Model: Monthly
Free Trial: Yes, Request for Free

Training Resources

SPSS Statistics is supported with the following types of training:

Documentation
In Person
Live Online
Videos
Webinars

Support

The following support services are available for SPSS Statistics:

Email
Phone
Chat
FAQ
Forum
Help Desk
Knowledge Base
Tickets
Training
24/7 Live Support

SPSS Statistics Benefits and Insights

Why use SPSS Statistics?

Key differentiators & advantages of SPSS Statistics

Increase Reliability of Analysis: Data analysts and scientists can reach more dependable conclusions and ensure high accuracy, backed by numbers and models made from their data.
Assists in Decision Making: Organize and analyze data sets in order to draw conclusions, glean insights and make data-driven business decisions.
Statistics with Speed: Maximize productivity by quickly crunching data sets. Handle complicated tasks in a third of the time of many non-statistical programs.
Data Management: Remove manual work, as the system does all the legwork in preparing and organizing data sets for analysis. It estimates and uncovers missing values, improving the accuracy of reports.
Ease of Use: According to the IBM website, 81% of reviewers rank SPSS as easy to use. A point-and-click interface and natural language processing allow analytics capabilities to be accessed by those without coding skills or advanced statistics knowledge.
Scalability: Built to scale and work with large volumes of data, supporting anything from basic descriptive analytics to advanced statistics simulations. Purchase as many licenses as needed, ensuring cost-efficiency for small businesses as well as robustness for large scale enterprises.
Customized Predictive Analytics: Tailor predictive analytics to unique needs and perform ad hoc analysis to find the information needed, making better predictions over time.
Free Trial: Access all capabilities with a free 14-day trial period.
Academic Versions: An academic version is optimized for higher education and research. Program availability varies based on user roles, including students, teachers, researchers and campus-wide administrators.

Industry Expertise

Allows for analysis in different areas of expertise, and specializes in industries such as the social sciences, IT, higher education, market research, healthcare, survey companies, marketing, nonprofits, government agencies and retail.

SPSS Statistics Reviews

Average customer reviews & user sentiment summary for SPSS Statistics:

1881 reviews

87%

of users would recommend this product

SPSS Statistics has a 'great' User Satisfaction Rating of 87% when considering 1881 user reviews from 6 recognized software review sites.

Synopsis of User Ratings and Reviews

Based on an aggregate of SPSS Statistics reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.

Pros

Research Analysis: It’s easy to analyze and interpret large and complex datasets to generate insights, according to 96% of reviewers who mention this feature.
Ease of Use: The platform is user-friendly and easy to navigate as observed by almost 95% of reviewers mentioning ease of use.
Interface: The interface has a clean layout and visually appealing design according to 75% of users referencing it.
Syntax: It’s easy to use (copy and paste) and proof syntax, and save for later, as noted by 95% of reviewers who talk about this feature.
Resources: Of users mentioning support, 93% agreed that access to various support manuals and courses, as well as an extensive user community, was helpful.

Cons

Learning Curve: It needs extensive learning to understand advanced tools and different aspects, as observed by almost 75% of reviewers mentioning training.
Cost: More than 90% of users referencing the price remarked that the product is a bit expensive.
Slow Operation: The system runs slow at times while using huge or complex data sets, and needs to restart, as observed by 92% of reviews on this topic.

Researcher's Summary:

SPSS Statistics is a point-and-click data analysis software that allows non-technical users to leverage advanced statistical analysis. Users praised its user-friendly, visually appealing interface. Many reviews also appreciated how easy it is to use and proof syntax, along with the extensive help documentation available for better understanding.

Despite its ease of use, a majority found that using advanced tools involved a steep learning curve. Additionally, its cost runs on the high side and processing large amounts of information slows down its performance, as observed by most reviewers. It’s a good fit for students, data scientists and companies that want to analyze data sets but don’t have the technical resources and expertise to use a more advanced tool.

Key Features

Data Source Connectivity: Enables reading and writing data from a wide spectrum of file formats and sources. These include ASCII text files, spreadsheets and databases like Microsoft Excel and Microsoft Access, as well as those from other statistics packages.
Data Preparation: Streamlines the data preparation process. Identify invalid values, view patterns of missing data and automate data preparation to analyze and clean up large data sets in a single step. Validate the accuracy of analysis with a thorough, efficient data conditioning workflow.
Point-and-Click Interface: Allows users without coding knowledge to leverage point-and-click data analysis with drop-down menus and drag-and-drop functionality.
Automated Analytics: Automate common tasks with syntax and create customized data analyses that run using algorithms.
Comprehensive Statistical Analysis: Perform many kinds of statistics tests, including but not limited to linear and non-linear models, simulation modeling, bayesian statistics, custom tables, complex sampling, advanced and descriptive statistics, and regression.
Ad Hoc Analysis: “Slice and dice” data by creating customized tables to dig deeper and improve understanding.
Predictive Analytics:

Uncovers complex relationships between variables with functions like time series analysis, forecasting, neural networks and temporal causal modeling.
Simulates values and accounts for the uncertainty of the future using probability distributions.
Improves predictive models with multilayer perception and radial basis function.

Geospatial Analysis: Explore the relationship between data points that can be tied to specific locations.
Direct Marketing: Improve campaigns and target key customers. Conduct advanced statistics analysis of customers or contacts with RFM (recency, frequency, monetary) analysis.
Open-Source Integration: Enhance syntax with programming languages R and Python through a library of more than 100 free extensions on the IBM Extension Hub, or opt to build programs.
Export with Ease: Export data to a proprietary file format. Can be exported to a variety of widely accessible formats such as text, Microsoft Word, PDF, Excel, HTML, XML, XLS and more. Export to a variety of graphic image formats.

Limitations

These limitations, based on user feedback, are accurate at the time of this review:

Add-on modules must be purchased in addition to the base subscription and cannot be used with the student version.
Lacks in terms of graphical capability. User reviews say that the output graphics are not up to publication quality and have scope for improvement. The graphics tools are basic and not visually appealing or easily customizable.
Proprietary output files (.spo and .spv) are generally not backwards compatible.

Suite Support

Email: Live chat available with a chatbot or representative on the IBM Support website. To send feedback, email [email protected].

Phone:1-800-IBM-7378.

Training: A huge library of training resources including documentation, training courses, in-person classes, videos and more are available. Track learning and earn certifications and digital badges. Some courses are available free of cost but require a digital learning subscription to access. IBM training is also offered through a wide range of third-party providers.

Tickets:Before submitting a ticket, navigate the support search bar to see if the issue is already resolved. If not, open a support case by logging in.