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Most Helpful Review
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Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"The scalability of the solution is good; I'd rate it four out of five."

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"Most of the product features are good but I particularly like the linear regression analysis.""Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files.""The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important.""You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use.""They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do.""It has the ability to easily change any variable in our research.""The most valuable feature is the user interface because you don't need to write code.""In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."

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Cons
"The predictive analysis feature needs improvement."

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"I think the visualization and charting should be changed and made easier and more effective.""Technical support needs some improvement, as they do not respond as quickly as we would like.""The statistics should be more self-explanatory with detailed automated reports.""Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance.""The product should provide more ways to import data and export results that are user-friendly for high-level executives.""The design of the experience can be improved.""This solution is not suitable for use with Big Data.""Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."

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Pricing and Cost Advice
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"We think that IBM SPSS is expensive for this function.""The price of this solution is a little bit high, which was a problem for my company.""The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."

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Top Answer: You can quickly build models because it does the work for you.
Top Answer: In comparing the price of other products, SPSS Statistics is too expensive. Even when most of the universities in the Middle East have licenses for SPSS Statistics, they do not have licenses for the… more »
Top Answer: The technical support should be improved.
Ranking
20th
Views
3,821
Comparisons
2,944
Reviews
1
Average Words per Review
164
Rating
7.0
5th
Views
4,039
Comparisons
3,128
Reviews
15
Average Words per Review
720
Rating
7.9
Popular Comparisons
Also Known As
Domino Data Lab Platform
SPSS Statistics
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Domino Data Lab
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Overview

Domino provides a central system of record that keeps track of all data science activity across an organization. Domino helps data scientists seamlessly orchestrate AWS hardware and software toolkits, increase flexibility and innovation, and maintain required IT controls and standards. Organizations can automatically keep track of all data, tools, experiments, results, discussion, and models, as well as dramatically scale data science investments and impact decision-making across divisions. The platform helps organizations work faster, deploy results sooner, scale rapidly, and reduce regulatory and operational risk.

Your organization has more data than ever, but spreadsheets and basic statistical analysis tools limit its usefulness. IBM SPSS Statistics software can help you find new relationships in the data and predict what will likely happen next. Virtually eliminate time-consuming data prep; and quickly create, manipulate and distribute insights for decision making.
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Sample Customers
Allstate, Tesla, Dell, Moody's Analytics, SurveyMonkey, Eventbrite, Carnival
LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA
Top Industries
VISITORS READING REVIEWS
Computer Software Company23%
Financial Services Firm15%
Manufacturing Company10%
Insurance Company9%
REVIEWERS
University29%
Financial Services Firm21%
Aerospace/Defense Firm7%
Non Profit7%
VISITORS READING REVIEWS
Comms Service Provider26%
Computer Software Company16%
Educational Organization14%
Media Company6%
Company Size
No Data Available
REVIEWERS
Small Business28%
Midsize Enterprise22%
Large Enterprise50%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: June 2021.
509,641 professionals have used our research since 2012.

Domino Data Science Platform is ranked 20th in Data Science Platforms with 1 review while IBM SPSS Statistics is ranked 5th in Data Science Platforms with 15 reviews. Domino Data Science Platform is rated 7.0, while IBM SPSS Statistics is rated 8.0. The top reviewer of Domino Data Science Platform writes "Good scalability and stability but the predictive analysis feature needs improvement". On the other hand, the top reviewer of IBM SPSS Statistics writes "Offers good Bayesian and descriptive statistics". Domino Data Science Platform is most compared with Databricks, Amazon SageMaker, Alteryx, Dataiku Data Science Studio and Microsoft Azure Machine Learning Studio, whereas IBM SPSS Statistics is most compared with IBM SPSS Modeler, TIBCO Statistica, Weka, MathWorks Matlab and Alteryx.

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