SPSS Statistics vs Klipfolio

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Our analysts compared SPSS Statistics vs Klipfolio 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

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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Klipfolio is an analytics software tool that helps users wield data intelligently and confidently by building dashboards and reports that track KPIs and monitor trends. Users can glean insights from information across the organization collected in one convenient place and deploy interactive data visualizations that they can share with ease.

It is available through an annual or monthly subscription to one of four plans: Publish, Grow, Team and Team+. The number of dashboards and users allowed, as well as the data refresh rate and level of support varies depending on the pricing plan selected.
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$99 Monthly
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$3,000 Annually, Freemium
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Tailored to your specific needs
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Knowledge Base
24/7 Live Support
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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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  • Faster Decisions: Enables faster and better data-driven decision making with a dashboarding tool that shows meaningful KPIs first.
  • Ease of Use: Quickly upload and analyze data with dashboards with a simple architecture on the back-end — no coding required.
  • Simplified Data Sets: Create a range of data visualizations from a single data source, or a single visualization from a range of data sources. Pull raw data directly into the dashboard, removing complicated organization and exploration steps.
  • Integration with BI Tools: Make analytics reporting and visualization easier by integrating with traditional enterprise BI tools like Tableau, Domo, Qlik, Looker and Microsoft Power BI to enhance the data they hold.
  • Holistic BI: Get a more comprehensive view of business metrics across data sources and brand performance on social media, all collected and displayed in one place through data connectivity and data merging.
  • Data Visibility: Gain visibility into business data and understand where the business is at via real-time dashboards and reports.
  • Analytics On-the-Go: Retrieve data from the cloud-based architecture any time, anywhere with an internet connection, unlike on-premise solutions. Access the platform via a native app for both iOS and Android mobile devices as well as via web browsers.
  • Boost Collaboration: Align all stakeholders and employees with organizational goals by collaborating and sharing data with others internally and externally, whether in real time or periodically.
  • Scalability: Pay only for the required level of functionality and upgrade, downgrade or cancel the plan at any time. Add additional dashboards to any plan at a flat rate or consult the support team for a custom solution that can support hundreds to thousands of dashboards at once.
  • Free Trial: Test it firsthand through a free 14-day trial.
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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 Connectivity: Retrieve data from thousands of different data sources with hundreds of built-in data connectors that include many of the most commonly sought-after data points. Connect to even more types of data with custom queries made through open web services. Or, pull data from SQL databases by uploading files the old-fashioned way and establishing FTP server connections.
  • Insight into Social Media: Blend social media data with other proprietary business data to interpret and present brand performance on social platforms such as LinkedIn, Twitter, Facebook and more.
  • Automated Data Retrieval: Automate data retrieval for visualizations from a range of data sources that automatically update on detecting a change in users’ data. Refreshes every 30 minutes by default, but can refresh at a faster rate on certain subscription plans.
  • Data Merging: Mash up information from disparate data sources to create insights that track desired KPIs with a more holistic view of business performance.
  • Data History With PowerMetrics: Leverage PowerMetrics to track and store multi-dimensional data points for metrics and provide continuous insights into current and historical information even for data services that don’t offer history, i.e. social media feeds. Explore historical trends by comparing time periods.
  • Data Visualizations: Maximize a dashboard’s visual impact by choosing from 15 different types of customizable visualizations.
  • Self-Service Interactivity: Deep-dive into dashboards by filtering and segmenting data by specific dimensions or adjusting date ranges. Gain context from insights with automatic trend lines and applied actions like grouping, filtering, aggregating and sorting.
  • Pre-built and Customizable Dashboards: Easily create dashboards by choosing a pre-built dashboard from a range of template options or create an entirely customized one.
  • Targets and Indicators: Keep track when metrics fall below or reach conditional pre-set thresholds with notifications and indicators that alert of both trends and potential issues or successes.
  • Sharing: Share access to dashboards and visualizations with a single click and download them as images or PDFs for sharing across social media or messaging apps. Set up scheduled reports to be distributed to a specific list of members on a regular basis. Embed dashboards into websites or other applications, display on TVs, or make them public for easy visibility with custom generated URLs.
  • Search Function: Search for data points, visualizations or dashboards using natural query language (NQL) search function, similar to how one would search using Google or other search engines.
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Product Ranking

#86

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#19

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User Sentiment Summary

Great User Sentiment 1881 reviews
Excellent User Sentiment 578 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.

93%
of users recommend this product

Klipfolio has a 'excellent' User Satisfaction Rating of 93% when considering 578 user reviews from 5 recognized software review sites.

4.3 (18)
4.7 (28)
4.2 (712)
4.6 (165)
4.51 (528)
4.73 (169)
4.5 (425)
4.7 (164)
4.6 (40)
n/a
4.2 (158)
4.6 (52)

Awards

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Klipfolio stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award

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 Management: Approximately 94% of users who mentioned data preparation said that the platform helps create focused data models to power insightful and dynamic project dashboards.
Data Source Connectivity: Around 81% of users who mentioned its integration capabilities said that the tailored integration options of the platform are complemented by easy-to-use APIs and SQL queries to pull data from disparate data sources.
Functionality: Approximately 79% of users who reviewed its functionality said that the platform has a multitude of features for self-service data analysis to efficiently acquire valuable business insights.
Service and Support: Around 96% of users who reviewed support services said that they were very responsive and helpful, with fast turnaround times.
Cost: The free trial period is a big plus, and the solution gives value for money, approximately 81% of users who reviewed the tool’s cost said.
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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: All users who reviewed its speed say that the platform is slow to load, with noticeable latency in data refresh.
Steep Learning Curve: Approximately 78% of users who reviewed training say that there is a steep learning curve to the platform, especially for formulas and functions.
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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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Klipfolio is a business intelligence tool that empowers users to visualize, analyze and share business data to track product trends. With powerful data querying capabilities via SQL and APIs, the solution integrates well with a multitude of applications. Users leverage its rich visualization libraries and strong data modeling capabilities to create impactful data dashboards, though some users said that the platform was sometimes buggy and had a limited scope in managing complex KPIs. With its vast range of features, users create and share reports on data that matters via URLs, PDFs, scheduled emails and snapshots to power decision-making processes. Approximately 96% of users who mentioned the platform’s support services said that the team was helpful and responsive. Most of the users who mentioned pricing said that the solution was affordable for organizations of all sizes and provided value for money. The solution does have some limitations though. All users who reviewed it for speed said that the platform slowed down, especially when applying filters, large file uploads and data refresh. Of users who reviewed its data integration capabilities, some said that the data source limit of 10 MB that comes with certain pricing plans can be limiting, especially when working with larger Excel and CSV files. Of users who mentioned cost, a few said that the additional fee for the periodic data refresh feature was a burden, though the introductory free trial offer could be quite attractive for new users. In summary, Klipfolio is a web and cloud-based BI solution that offers a range of data integration, KPI monitoring and dashboarding capabilities to empower data-driven decision-making across organizations.

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