MicroStrategy vs SPSS Statistics

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Our analysts compared MicroStrategy vs SPSS Statistics 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

MicroStrategy is a data visualization and reporting platform that deploys on-premise and on the web. The cloud version runs on AWS or Microsoft Azure. MicroStrategy Library is the web edition, while Workstation is the desktop version.

It reigns supreme as the top analytics tool in our product directory and provides 91% of the required features out of the box. Regarding source data integration, it leaves very little to chance, winning our best-in-class award for connectivity. With over 200 connectors, there’s a high chance it’ll satisfy your data needs.

If not, you can build one using a software development kit. SDKs are also the force behind REST and embedding APIs, HyperIntelligence and data visualization. Plus, the semantic layer enables automating data prep and analysis and generating visualizations on cue.

Dossiers in MicroStrategy are like books; they have chapters further divided into pages, and each page has one or more visualizations. Every view is free-form — you can move charts around and organize them as you like. With write-back capability, you can update underlying databases from visualizations.

The vendor launched its unified cloud AI analytics platform, MicroStrategy One, with GPT-4o in September 2024. It’s twice as fast, digging into the selected data to produce dashboard summaries and answer user queries in seconds. Update 12 has auditing capabilities and shows details of active licenses, including their compliance status.

Its heart and soul is an Intelligence Server that manages metadata and processes queries. A mobile app is available. There’s a 30-day trial, but access to group permissions, KPIs and subscriptions requires a paid upgrade.

User reviews mentioned that the solution was effective, but the ecosystem and pricing were complex.

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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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Product Assistance

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Knowledge Base
24/7 Live Support
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Product Insights

Our analysts ranked it best-in-class for the following attributes.
  • Visualize Metrics: Various chart types, templates and customization are standard fare in modern data tools, and MicroStrategy is no different. What’s notable is seamless map integration while staying performant. It gets our best-in-class award and a 100 score for versatility in visualization.
  • Share Insights: Conditional formatting, templates, custom reports, scheduling and bookmarks—MicroStrategy ticks all the boxes, and we give it a 100 and the top product award for reporting. It supports report versioning, leaving Qlik and Oracle Analytics behind in this regard.
  • Secure Data: The vendor provides the entire gamut of security features—role-based views, audit logs, row and column-level security, encryption, MFA, and SSO — making it the best-in-class tool in its category. We give it a 100 score, at par with Qlik, Oracle and Domo.
  • Stay Connected 24/7: It also gets top honors and a 100 score for mobile data access, beating leading products like Tableau and Oracle. With MicroStrategy technology, anyone can deploy mobile apps with custom workflows, branding and multifactor security authentication. Barcode scanning is available for retail businesses and app vendors.
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  • 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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  • HyperIntelligence: Learn about departments or employees by hovering over their names. To get ready information, add the HyperIntelligence extension to your Chrome instance and configure it to your MicroStrategy environment.
  • Auto Express: Shift the heavy lifting to AI bots — have them analyze your dashboards and suggest deep-dive questions, many of which you might not have thought of. Pull data from Amazon Redshift, Azure SQL Database, Databricks, Google BigQuery and Snowflake, among others.
  • Action Triggers: Update data in Salesforce CRM, trigger email campaigns in Marketo, or approve expenses in Workday from a MicroStrategy dashboard. Triggering workflows from dashboards is available in MicroStrategy One and Auto Express.
  • Intelligent Cubes Technology: Drive targeted marketing campaigns by digging deep into buyer demographics, purchase histories and engagement levels. Create an Intelligent Cube to store data in memory and reuse it for as many reports as desired.
  • Metadata Management: Organize data using a handy index that points to where everything is. It also gives contextual names to datasets so everyone uses the same terminology. Metadata management establishes data lineage by narrating its entire journey — where it started, how it was changed and which tasks use it now.
  • Role-Based Displays: Remember skimming through your course book a day before an important test? You read the important parts while you skipped the rest. If that’s what you feel when decisions are at stake, role-based views are what you need. CEOs can choose high-level overviews, while middle management might want detailed reports.
  • Free-form Subscriptions: This is a new feature that allows users to view updates as PDF or Excel files without signing in to MicroStrategy. It’s a great functionality for those who are away from their desks and for their teams in the field.
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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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Product Ranking

#15

among all
Business Intelligence Tools

#86

among all
Business Intelligence Tools

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Analyst Rating Summary

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100
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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

MicroStrategy
SPSS Statistics
+ Add Product + Add Product
Advanced Analytics Augmented Analytics Data Management Data Pre-processing Data Transformation Data Visualization Embedded Analytics Capabilities Geospatial Visualizations And Analysis Mobile Capabilities Platform Capabilities Reporting 94 66 100 100 97 100 100 100 100 96 100 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

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User Sentiment Summary

Great User Sentiment 973 reviews
Great User Sentiment 1881 reviews
84%
of users recommend this product

MicroStrategy has a 'great' User Satisfaction Rating of 84% when considering 973 user reviews from 5 recognized software review sites.

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.

4.9 (24)
4.3 (18)
4.2 (544)
4.2 (712)
4.3 (63)
4.51 (528)
n/a
4.5 (425)
4.2 (73)
4.6 (40)
4.2 (269)
4.2 (158)

Awards

SelectHub research analysts have evaluated MicroStrategy and concluded it deserves the award for the Best Overall Business Intelligence Tools available today and earns best-in-class honors for Data Pre-processing, Embedded Analytics Capabilities, Geospatial Visualizations and Analysis and Mobile Capabilities.

Analysts' Pick Award
Data Pre-processing Award
Embedded Analytics Capabilities Award
Geospatial Visualizations and Analysis Award
Mobile Capabilities Award

we're gathering data

Synopsis of User Ratings and Reviews

Data Visualization: Users were satisfied with its powerful dashboards and personalization options for self-service analytics.
Functionality: Reviewers praised the platform for delivering on capabilities and scaling with their data needs.
Ease of Use: User reviews appreciated its reusable objects and semantic layer for automating data wrangling and visualization workflows.
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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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Cost: A majority of the users found the platform to be expensive.
Adoption: Most reviews said the platform had a steep learning curve.
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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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MicroStrategy is a patchwork quilt of products on the web, desktop and mobile. There’s MicroStrategy Library where you can access published content and Auto Express for dashboarding and bot creation. Anyone with basic data skills can feed information to a bot and gain insights in seconds.You don’t need a credit card to sign up for the free trial, but you won’t be able to publish content to the server without a paid upgrade. As for choosing which edition to use, there’s the web and the desktop instance. Which one will suit you? Maybe both?MicroStrategy Workstation is for developers and data analysts and is more robust for manipulating data. It provides administrative control, even when offline, and helps prototype content before it goes live. Combining multiple visualizations on a single page provided me with more context for the same data.On the other hand, the Workstation version lacks the same level of natural language processing as the web version.MicroStrategy Web is for delivering content to your clients. Being online, it’s open to seamless upgrades and customization, and identity management and collaboration are built in. If you have a small organization, the web version might suffice, but you might want to consider going for both if you deal with large data volumes.Metadata mapping was immensely useful to me when designing a bot using MicroStrategy Auto Express. All I needed to do was feed it the data, and it generated a slew of questions I might want to ask.With a semantic layer, Microstrategy is among the BI tools that work best with large data warehouses. If you’ve just started in business or haven’t got large data volumes yet, you might want to consider a simpler tool.An oft-repeated sentiment in user reviews was that this motley crew of products — web, desktop and mobile — didn’t always sync. The vendor positions MicroStrategy One as a unified solution that’ll, hopefully, eliminate these annoyances.On the flip side, quite a few users said it could be clunky for inexperienced users. Also, some reviewers said it slowed on occasion. Most people said the solution was expensive and found its learning curve quite steep.In summary, MicroStrategy is worth considering, especially if you’re a medium or large-sized company looking for a web reporting tool with a user-friendly interface.

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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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