AdvancedMiner vs. IBM SPSS Statistics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AdvancedMiner
Score 9.0 out of 10
Mid-Size Companies (51-1,000 employees)
Designed to deploy predictive models One tool for data processing, analysis and modeling! The user-friendly workflow interface helps you explore all your data & more. Supports all analytical tasks: Extracting and saving data from/to different database systems, files, and data transformations Performing a wide range of operations on data, such as sampling, joining data-sets, and dividing Building popular statistical models, clustering analysis, variable importance…
$1,399
5 users and above
IBM SPSS Statistics
Score 8.5 out of 10
N/A
SPSS Statistics is a software package used for statistical analysis. It is now officially named "IBM SPSS Statistics". Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, and collaboration and deployment (batch and automated scoring services).
$99
per month per user
Pricing
AdvancedMinerIBM SPSS Statistics
Editions & Modules
AdvancedMiner Elite
1 399
5 users and above
AdvancedMiner Pro
2 399
3-5 Users
AdvancedMiner Server
14 999
Unlimited Users
Base
USD 3,830
one-time fee per user
Standard
USD 8,440
one-time fee per user
Professional
USD 16,900
one-time fee per user
Premium
USD 25,200
one-time fee per user
Premium
USD 25,200
one-time fee per user
Offerings
Pricing Offerings
AdvancedMinerIBM SPSS Statistics
Free Trial
YesYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup Fee$2,999 1-2 usersNo setup fee
Additional Details* Server Version has unlimited number of users only limited by your server capacity *Prices are quoted in USD
More Pricing Information
Community Pulse
AdvancedMinerIBM SPSS Statistics
Top Pros
Top Cons
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AdvancedMinerIBM SPSS Statistics
Small Businesses
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IBM SPSS Modeler
IBM SPSS Modeler
Score 7.5 out of 10
Medium-sized Companies
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Score 9.0 out of 10
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Score 9.5 out of 10
Enterprises
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Score 9.0 out of 10
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Score 9.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AdvancedMinerIBM SPSS Statistics
Likelihood to Recommend
9.0
(2 ratings)
8.5
(89 ratings)
Likelihood to Renew
-
(0 ratings)
8.6
(22 ratings)
Usability
-
(0 ratings)
8.0
(14 ratings)
Availability
-
(0 ratings)
6.0
(1 ratings)
Performance
-
(0 ratings)
6.0
(1 ratings)
Support Rating
-
(0 ratings)
6.4
(12 ratings)
Implementation Rating
-
(0 ratings)
8.7
(7 ratings)
Configurability
-
(0 ratings)
5.0
(1 ratings)
Ease of integration
-
(0 ratings)
5.0
(1 ratings)
Product Scalability
-
(0 ratings)
5.0
(1 ratings)
Vendor post-sale
-
(0 ratings)
5.0
(1 ratings)
Vendor pre-sale
-
(0 ratings)
5.0
(1 ratings)
User Testimonials
AdvancedMinerIBM SPSS Statistics
Likelihood to Recommend
Algolytics
It can be time-consuming and expensive to visualize data in multi-cloud and on-premise applications. I would recommend my colleagues try this solution in order to collect, model, and visualize data automatically.
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IBM
SPSS is well-suited for the following: 1) User Behavior Analysis: SPSS handles large datasets to analyze user behavior data. 2) Customer Satisfaction / Foundational Surveys: SPSS facilitates analysis of quant data from satisfaction surveys, keeping us informed about customer needs and preferences. 3) A/B test analysis: SPSS statistical tools for A/B test analysis, which helps optimize user experience of our products. Scenarios where SPSS are less appropriate: 1) Qualitative Data Analysis: I do not use SPSS for open-ended survey responses/qual data. 2) Live/in-vivo data analysis: SPSS is not ideal for real-time data processing. 3) Complex Data Integration: SPSS isn’t the best fit for complex data integration tasks
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Pros
Algolytics
  • Different model integration, more so the external database analytical procedures.
  • Further, AdvancedMiner helps in developing various statistical options and models, for advanced analysis.
  • AdvancedMiner makes the extraction and the mining of data, a proper solution for wide range performance.
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IBM
  • SPSS has been around for quite a while and has amassed a large suite of functionality. One of its longest-running features is the ability to automate SPSS via scripting, AKA "syntax." There is a very large community of practice on the internet who can help newbies to quickly scale up their automation abilities with SPSS. And SPSS allows users to save syntax scripting directly from GUI wizards and configuration windows, which can be a real life-saver if one is not an experienced coder.
  • Many statistics package users are doing scientific research with an eye to publish reproducible results. SPSS allows you to save datasets and syntax scripting in a common format, facilitating attempts by peer reviewers and other researchers to quickly and easily attempt to reproduce your results. It's very portable!
  • SPSS has both legacy and modern visualization suites baked into the base software, giving users an easily mountable learning curve when it comes to outputting charts and graphs. It's very easy to start with a canned look and feel of an exported chart, and then you can tweak a saved copy to change just about everything, from colors, legends, and axis scaling, to orientation, labels, and grid lines. And when you've got a chart or graph set up the way you like, you can export it as an image file, or create a template syntax to apply to new visualizations going forward.
  • SPSS makes it easy for even beginner-level users to create statistical coding fields to support multidimensional analysis, ensuring that you never need to destructively modify your dataset.
  • In closing, SPSS's long and successful tenure ensures that just about any question a new user may have about it can be answered with a modicum of Google-fu. There are even several fully-fledged tutorial websites out there for newbie perusal.
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Cons
Algolytics
  • Nonetheless, AdvancedMiner [does] not focus on large enterprises' data visualization needs.
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IBM
  • It would be beneficial to have AMOS as part of the SPSS package instead of purchasing it separately.
  • It would be beneficial to have other statistical tests, such as PROCESS, be part of the standard SPSS tests instead of having the need to run a syntax to have it installed.
  • My dataset tends to be smaller, and I have never had any issues with using SPSS. I heard that SPSS may not be optimal when handling large datasets.
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Likelihood to Renew
Algolytics
No answers on this topic
IBM
Both
money and time are essential for success in terms of return on investment for any kind of research based project work. Using a Likert-scale questionnaire is very easy for data entry and analysis
using IBM SPSS. With the help of IBM SPSS, I found very fast and reliable data
entry and data analysis for my research. Output from SPSS is very easy to
interpret for data analysis and findings
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Usability
Algolytics
No answers on this topic
IBM
Probably because I have been using it for so long that I have used all of the modules, or at least almost all of the modules, and the way SPSS works is second nature to me, like fish to swimming.
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Reliability and Availability
Algolytics
No answers on this topic
IBM
SPSS can tend to crash when I am trying to do a lot of data. This can slow me down when I need to do a lot of data
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Performance
Algolytics
No answers on this topic
IBM
SPSS does the job, but it can be slow. I do have to plan a lot of time to get through a huge amount of data.
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Support Rating
Algolytics
No answers on this topic
IBM
I have not contacted IBM SPSS for support myself. However, our IT staff has for trying to get SPSS Text Analytics Module to work. The issue was never resolved, but I'm not sure if it was on the IT's end or on SPSS's end
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Implementation Rating
Algolytics
No answers on this topic
IBM
Have a plan for managing the yearly upgrade cycle. Most users work in the desktop version, so there needs to be a mechanism for either pushing out new versions of the software or a key manager to deal with updated licensing keys. If you have a lot of users this needs to be planned for in advance.
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Alternatives Considered
Algolytics
AdvancedMiner creates proper data extraction mechanisms, where storage procedures are also outlined and kept safe. Further, the statistical models are in proper work relationship with AdvancedMiner, which results in results that are accurate and authentic. Further, the complex database analysis from AdvancedMiner allows proper market evaluations and outstanding actionable insights.
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IBM
I have used R when I didn't have access to SPSS. It takes me longer because I'm terrible at syntax but it is powerful and it can be enjoyable to only have to wrestle with syntax and not a difficult UI.
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Scalability
Algolytics
No answers on this topic
IBM
I am neutral because I have not had to look into scalability since I am using as a student.
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Return on Investment
Algolytics
  • Self-service capabilities has enabled us to get rid of external data scientists.
  • Workloads has reduced while saving time analyzing data automatically.
  • We have increased time to value.
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IBM
  • IBM SPSS has allowed me to quickly analyze data for research.
  • IBM SPSS has allowed me to complete analyses in order to submit research findings to conferences and complete manuscripts.
  • IBM SPSS has enabled me to meet research objectives set out in grant proposals.
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ScreenShots

AdvancedMiner Screenshots

Screenshot of Screenshot of Screenshot of

IBM SPSS Statistics Screenshots

Screenshot of SPSS Statistics Forecasting. This enables users to build time-series forecasts regardless of their skill level.Screenshot of SPSS Statistics Missing Values. This feature is used to uncover missing data patterns, estimate summary statistics and impute missing values.Screenshot of SPSS Advanced Statistics. This enables univariate/multivariate modeling to reach more accurate conclusions in analyzing complex relationshipsScreenshot of SPSS Statistics Regression. These predict categorical outcomes and apply nonlinear regression procedures.Screenshot of IBM SPSS Statistics Decision Trees. These classification and decision trees help users to identify groups and relationships, and predict outcomes.Screenshot of IBM SPSS Statistics Neural Networks. These can discover complex relationships and improve predictive models.