Overview
IBM SPSS Statistics is an end-to-end statistical solution that simplifies advanced statistical analysis across industries. It offers comprehensive resources, expert support, and proven reliability to transform complex data into impactful decisions. Targets both individuals and organizations spanning across Retail / CPG /E-Commerce, Healthcare, Government , Wholesale Distribution and Services etc. who seek an advanced statistical solution that can simply complex statistical test through an easy to use, accurate ,reliable and secure solution. Note: This page is for a software product and not a SaaS offering.
Highlights
- Advanced Statistical Procedures: SPSS Statistics provides a wide range of univariate and multivariate analysis tools, enabling users to perform deep and comprehensive data analysis. This supports smarter decision-making, reduces uncertainty, and improves operational efficiency.
- Predictive Analytics and Forecasting: By applying various statistical techniques,SPSS Statistics helps forecast future trends and behaviors.This allows organizations to anticipate market changes and customer needs, giving them a strategic edge.
- Integration with Open-Source Tools: SPSS Statistics integrates smoothly with open-source platforms like R and Python, allowing users to enhance their analyses with custom code. This combination offers the flexibility of open-source programming with the ease of application interface.
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Pricing
Dimension | Description | Cost/12 months |
---|---|---|
Base Edition | Analyze data with ease using stats, regression or advanced methods like bivariate, factor and cluser analysis with automation. | $1,188.00 |
Base plus Custom Tables and Advanced Statistics | Create interactive tables exportable to Excel/ PDF and perform complex analyses like GLMs, mixed models, and 2SLS regression together with base functionalities | $2,136.00 |
Vendor refund policy
You can turn off auto-renewal for your SPSS Subscription at any time prior to the end of your current billing cycle (monthly or annual). You will continue to have access to your subscription through the end of the billing cycle. No refunds or credits will be issued for any unused portion of the subscription period
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SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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On the IBM SPSS Statistics Support page, you will find support information related to downloading software, opening support tickets, and much more. IBM SPSS Statistics Support Page :
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I like SPSS
IBM SPSS Statistics: A CMA’s Tool for Data-Driven Decision Making
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
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.
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.