SPSS Statistics vs InsightSquared

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Our analysts compared SPSS Statistics vs InsightSquared based on data from our 400+ point analysis of Business Intelligence Tools, user reviews and our own crowdsourced data from our free software selection platform.

SPSS Statistics Software Tool
InsightSquared Software Tool

Product Basics

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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InsightSquared is a sales analytics SaaS platform that builds a path for revenue operations professionals from sales data to sales intelligence, empowering them to make better decisions informed by insights. It helps businesses dig deep into their sales pipelines to thoroughly understand what drives results. With AI-powered forecasting, detailed reporting, complete sales funnel visibility and employee performance tracking, it enables enterprises to track their key metrics and sales growth with precision and strategize for the future with confidence.

Suitable for companies of all sizes, it simplifies the sales process and helps businesses improve ROI and maximize their results. As each offering is customized to fit the client’s needs, pricing and functionality will vary based on the tier of plan and number of components selected.
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$99 Monthly
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$65/User, Monthly
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Product Insights

  • 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.
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  • Holistic Visibility: Pinpoint any step in the revenue-generating lifecycle from lead to opportunity to sale. Find answers to questions in one centralized home for data — no need to switch between complicated, often error-filled spreadsheets, CRM reports and BI systems.
  • Ease of Use: Accessible to all, irrespective of technical skill levels, to visualize, explore and discuss insights. Customizable dashboards make the system user-friendly, and the system creates presentation-ready visuals that make it easy to share insights with team members, clients or a board of directors, fostering a culture of data literacy throughout the company.
  • Accelerated Implementation: Deploy and launch within 48 hours without time-consuming data imports or overreliance on IT departments.
  • Add Value to CRM: Improves CRM systems and provides a clear link between metrics and sales processes. Uses the historical data stored in an organization’s CRM to uncover additional insights and expose trends.
  • Conduct Data-Driven Planning: Make more informed decisions with relevant information at the ready, such as which factors and team players drive revenue.
  • Forecast More Accurately: Machine learning algorithms spot missing or outlying data and make predictions that guide decision-making processes. Execute sales more confidently through improved forecast accuracy over time.
  • Teamwork Makes the Dream Work: Boost team morale and create a culture of accountability with individual rep coaching and employee performance tracking that captures metrics such as win rates, sales numbers, quotas and more. Align and unite sales and marketing departments with the power of analytics to strategize more efficiently.
  • Customized Pricing: The vendor’s pricing model is based on what features an organization requires. Pay per package, and flexibly scale up or down as necessary.
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  • 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.
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  • Data Blending: Pull data from any and all sources to form a 360-degree view of the business. Supports an extensive list of pre-built connectors to complementary applications and can build a custom connector to other applications provided there’s an API.
  • Third-Party Integrations: Gain direct access to sales data without needing to import or manually enter it. Integrates seamlessly with systems like Salesforce, Marketo and Quickbooks.
  • Pre-Built Report Library: Access insights in a variety of ways with more than 400 off-the-shelf reports.
  • Insight Feed: View highlighted opportunities, alerts and more — get a near real-time view of key metrics through customizable dashboards. Acquire a quick at-a-glance look into the next steps to take at any given moment.
  • Sales Analytics: Integrate with a CRM solution for complete pipeline analysis. Identify trends segmenting and filter pre-built pivot tables.
  • Sales Forecasting: Make better sales decisions across the company with more accurate predictions. Automate and streamline forecasts. Understand the gap between target and goal by slicing and dicing by region, line of business, product, sales period, or any other segment. 
  • Pipeline Management: Gain insight into the entire customer journey; explore key activities, behaviors and results from every step of the sales process.  
  • Activity Capture: Automatically syncs key sales activity and engagement to a CRM. Capitalize on opportunities to drive results without the burden of manual data entry.
  • Guided Selling: Coaches sales representatives on best practices and key steps in the company’s sales process. Enables faster onboarding, more relevant guidance and greater accountability all through machine learning.
  • Marketing Analytics: Measure the success of the marketing campaigns — gain visibility into conversion rates, marketing-generated demand and how marketing contributes to the business’ bottom line.
  • Employee Activity Dashboard and Scorecard: Measure productivity and efficiency as well as track progress on goals with comprehensive, detailed activity dashboards and scorecards for each employee. 
  • SaaS Reporting: Gives SaaS businesses access to simplified revenue reporting and sales intelligence. Measure monthly recurring revenue, spot patterns in churn over time and forecast future renewal rates.
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Product Ranking

#86

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#116

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User Sentiment Summary

Great User Sentiment 1881 reviews
Great User Sentiment 797 reviews
87%
of users recommend this product

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

89%
of users recommend this product

InsightSquared has a 'great' User Satisfaction Rating of 89% when considering 797 user reviews from 4 recognized software review sites.

4.3 (18)
5.0 (11)
4.2 (712)
4.4 (664)
4.51 (528)
n/a
4.5 (425)
4.7 (48)
4.6 (40)
n/a
4.2 (158)
4.5 (74)

Synopsis of User Ratings and Reviews

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.
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Data Connectivity: Around 87% of the users who reviewed data integration said that the platform pulls data efficiently from a wide range of data sources.
Support: Support is responsive and knowledgeable, according to 87% of the users who mentioned contacting them.
Ease of Use: Citing ease of use to filter and pivot on key metrics, approximately 86% of the users said that the platform is intuitive and user-friendly.
Data Visualization: Approximately 82% of the users who discussed data visualization said that the platform provides a multitude of prebuilt and customizable dashboards to tell stories.
Data Analysis: Citing strong trend analytics based on historical data, around 74% of the users said that the platform provides seamless self-service analysis of business metrics.
Functionality: The platform has powerful features to present insights into sales and marketing pipeline health, according to around 74% of the users who reviewed its functionality.
Reporting: Reviewing reporting, approximately 63% of the users said that the platform provides a multitude of prebuilt charts and reports with visible, ready-to-consume insights.
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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.
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Speed: Around 90% of the users who mentioned speed said that data refresh is slow, especially when processing large datasets.
Pricing: Approximately 60% of the users who reviewed pricing said that necessary customizations add to the overall cost, limiting adoption by small enterprises.
Training: Around 54% of the users who discussed training said that there is a learning curve due to lack of training and documentation.
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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.

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InsightSquared is a powerful sales analytics platform that helps users drive sales pipelines and access self-service data analytics through robust features and interactive data visualizations. According to many users who discussed data integration, the tool interacts seamlessly with other applications and data sources to enable predictive analytics that help forecast future trends. Most of the users who mentioned support said that they are responsive and knowledgeable. A majority of the users who reviewed the interface said that it’s user-friendly and easily navigable, though some users said that the versatility of the platform makes it complex to learn. Many users who discussed the platform’s visualization capabilities said that it provides a wide range of interactive and intuitive out-of-the-box dashboards. A majority of the users who discussed data analytics said that the platform excels in analyzing historical data to better forecast future trends, though some users said that the scope of predictive analytics should be wider to provide better insights. According to many users who mentioned functionality, the solution provides many ways to explore data-based insights through deep-dive and pivoting on key metrics, though some users said that the platform is not easily customizable. Many users who mentioned reporting said that the solution provides a plethora of out-of-the-box reports that can be customized and exported easily, though some users said that there is limited flexibility in report customization. On the flip side, a majority of the users who reviewed speed said that the platform is slow when moving between templates and can become CPU-intensive with large dashboards, though some users said that it can slice and dice data to present relevant information in seconds. Many users who mentioned pricing said that necessary customization modules add to the cost of the software, which makes adoption difficult for small businesses. Many users said that though training is needed to maximize the tool’s potential, lack of adequate documentation makes the learning curve steep. In summary, InsightSquared is a self-service revenue intelligence tool that provides a single source of truth for sales analytics and forecasting pipeline management. It boosts productivity across the organization, though its pricing can be cost-prohibitive for small businesses.

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