Home > Business Intelligence Tools > SPSS Statistics > SPSS Statistics vs ClicData

SPSS Statistics vs ClicData

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Our analysts compared SPSS Statistics vs ClicData 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.

Overview Pricing Benefits & Features User Ratings Analyst Summary Screenshots
SPSS Statistics Software Tool
ClicData Software Tool
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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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ClicData is a cloud-based solution that collects data from multiple sources and delivers insights that are easy to use, embed and access on any device. It enables users to design and share dashboards. It has four different pricing plans with varying levels of functionality: Premium, Team, Enterprise and Dedicated. Users can purchase subscriptions at a yearly or monthly rate.
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$99 Monthly
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$71 Annual, free, monthly, quote-based
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Cloud
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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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  • All Your Data in One Place: Combines and cleans users’ data to create a comprehensive data warehouse with faster access and a more consistent database.
  • Better Data Stories: Control the navigation and presentation of data. Create unique visualizations to convey information quickly and effectively.
  • Ease of Use: Drag and drop data to create and share a dashboard in minutes; no IT experience needed.
  • Integration: With over 250 connectors, add new data sources when changing or upgrading ERP or CRM and keep data flowing.
  • More Efficient Insights: Automatically updates dashboards whenever data is updated. Set up automated reporting schedules and alerts.
  • Regular Updates: Routinely adds new features and improvements, such as additional widgets and connectors.
  • Reporting On the Go: Access dashboards on the web or through its mobile applications.
  • Data Security: Ensures top-notch security and encryption for business data through Microsoft Azure, with a wide toolbelt of authentication and protection solutions in place, all aligned to security and privacy regulations.
  • Free Trial: Offers a full-featured free trial of the Premium or Team application for 15 days, no credit card required.
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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 Connectors: Connect to over 250 data sources, both on-premise and online, such as Google Drive and Google Analytics, QuickBooks, Shopify, SQL, Salesforce, Hubspot, SugarCRM and more. Their website has a full list of all compatible data connectors, sorted by plan availability.
  • Data Warehouse: Consolidates all data into one centralized data warehouse, bypassing exports and imports.
  • Dashboard Designer: Drag and drop to transform data into insights. The designer features an extensive library of visualization widgets.
  • Interactive Dashboards: Filter information by clicking KPIs. Drill down into any data set to retrieve further insights.
  • Auto Refresh: Monitors all data sources and automatically refreshes dashboards when data is added, deleted or updated.
  • Branding Customization: Users of certain plans can customize logos and colors, controlling the look and feel of their dashboards for a cohesive branding identity.
  • Sharing: Share dashboards with others via email as PDF or image attachments or Live Links.
  • User Management: It can add and maintain users. Admins can control access rights and dashboard visibility so that users focus on the most relevant insights.
  • Predictive Analytics: The solution integrates with machine learning platforms such as Prevision.io and H20.ai.
  • White Label: Users can embed dashboards into their customer-facing solutions, remove branding and add extra functionality to their existing website or application with a copy-and-paste API code.
  • Security: With capabilities such as two-factor authentication, single sign-on, session tracking, IP white listing, password rules and intelligent log analysis, users can ensure their data is safe and secure.
  • Mobile Apps: Offers iOS and Android applications that display responsive live dashboards, which users can explore, export to PDF, send via email, print and more from their mobile devices.
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Product Ranking

#86

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#345

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User Sentiment Summary

Great User Sentiment 1881 reviews
Excellent User Sentiment 294 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.

92%
of users recommend this product

ClicData has a 'excellent' User Satisfaction Rating of 92% when considering 294 user reviews from 5 recognized software review sites.

4.3 (18)
3.9 (1)
4.2 (712)
4.4 (25)
4.51 (528)
4.61 (134)
4.5 (425)
4.6 (123)
4.6 (40)
n/a
4.2 (158)
4.6 (11)

Awards

No awards.

ClicData 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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Visualization: About 89% of users who reviewed visualization mentioned the system’s ability to create beautiful, unique dashboards.
Ease of Use: Approximately 73% of users who referred to user-friendliness said that the solution is very intuitive and easy to navigate.
Customization: All users who talked about customization liked that they could customize anything in the system.
Customer Service: ClicData provides very positive and outstanding customer service, according to about 56% of users who reviewed support.
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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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Connectivity: The solution lacks plugins to pull data, according to approximately 58% of reviewers commenting on connectivity.
Learning Curve: All users who mentioned a learning curve related to understanding the product said that it was difficult to master, especially for non-technical users.
Updates: All users who talked about updates complained about fixes taking too long to get done.
Features: About 67% of users who spoke about features said that features are limited, and many important ones are unavailable, especially for the cheaper plans.
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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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Clicdata is a robust platform with a multitude of data manipulation options and robust data processing capabilities. The cloud-based system is simple enough to get the results businesses need. Readymade connectors are available to connect and fuse data from multiple data sources. However, some users complained about connectivity issues with third parties. Users also complained about the lack of API integrations and plugins to pull data. Visualizations are stunning with customizable dashboards that are quick and easy to set up and have a great set of widgets. Users were generally happy with the customer service, stating that they were positive and reactive. Video tutorials and documentation could be improved. Some important features, such as roll back and database editing, are not available for all plans. Learning and getting used to the system can take time for the non tech-savvy. Overall, it’s a flexible, intuitive and cost-effective tool to visualize business data.

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