IBM SPSS Modeler vs. Prospection

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM SPSS Modeler
Score 9.4 out of 10
N/A
IBM SPSS Modeler is a visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations can use it for data preparation and discovery, predictive analytics, model management and deployment, and ML to monetize data assets.
$4,670
per year
Prospection
Score 0.0 out of 10
N/A
Prospection provides healthcare data analytics and uses predictive analytics and machine learning with real world healthcare data to unearth insights that help research, develop and target better healthcare outcomes for patients. Prospection also uses real world data to generate patient-centric insights, to find misdiagnosed or undertreated patients and to publish evidence in collaboration with opinion leaders and to support clinical decision making. Prospection uses its…N/A
Pricing
IBM SPSS ModelerProspection
Editions & Modules
IBM SPSS Modeler Personal
4,670
per year
IBM SPSS Modeler Professional
7,000
per year
IBM SPSS Modeler Premium
11,600
per year
IBM SPSS Modeler Gold
contact IBM
per year
No answers on this topic
Offerings
Pricing Offerings
IBM SPSS ModelerProspection
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsIBM SPSS Modeler Personal enables users to design and build predictive models right from the desktop. IBM SPSS Modeler Professional extends SPSS Modeler Personal with enterprise-scale in-database mining, SQL pushback, collaboration and deployment, champion/challenger, A/B testing, and more. IBM SPSS Modeler Premium extends SPSS Modeler Professional by including unstructured data analysis with integrated, natural language text and entity and social network analytics. IBM SPSS Modeler Gold extends SPSS Modeler Premium with the ability to build and deploy predictive models directly into the business process to aid in decision making. This is achieved with Decision Management which combines predictive analytics with rules, scoring, and optimization to deliver recommended actions at the point of impact.Contact vendor for pricing information.
More Pricing Information
Community Pulse
IBM SPSS ModelerProspection
Considered Both Products
IBM SPSS Modeler
Chose IBM SPSS Modeler
Python requires knowledge of programming, higher learning curve vs IBM SPSS Modeler
Chose IBM SPSS Modeler
IBM SPSS Modeler is considerably easier to use. It allows for very rapid development and the ability to get to a goal quickly. There is no need to learn a new programming language so the analyst has the ability to focus on the problem rather than the pedantics of managing …
Chose IBM SPSS Modeler
We additionally use SAS Data Miner as a toolkit. Compared to SAS Data Miner, the SPSS Modeler is a good competitor. SAS probably is more integrated in the market for a visual-based code for data science activities. However, I don't think it offers anything better than SPSS, and …
Chose IBM SPSS Modeler
SPSS has a great set of analytical models, but SPSS is especially strong (compared to other tools) in complex statistical modeling and predictive analytics/statistics. However, the data connectivity features of SPSS are not the best, as the data sources SPSS can work with are …
Chose IBM SPSS Modeler
The field of data analytics has important value for each organization. IBM SPSS Modeler is one of the leaders in this highly competitive vertical. IBM SPSS is very intuitive compared with others, and has reduced the complexity. This software has various good functionalities …
Chose IBM SPSS Modeler
When it comes to investigation and descriptive we have found SPSS Statistics to be the tool of choice, but when it comes to projects with large and several datasets SPSS Modeler has been picked from our customers.
Prospection

No answer on this topic

Features
IBM SPSS ModelerProspection
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
IBM SPSS Modeler
8.8
Ratings
5% above category average
Prospection
-
Ratings
Connect to Multiple Data Sources8.70 Ratings00 Ratings
Extend Existing Data Sources8.70 Ratings00 Ratings
Automatic Data Format Detection9.00 Ratings00 Ratings
MDM Integration9.00 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
IBM SPSS Modeler
9.0
Ratings
6% above category average
Prospection
-
Ratings
Visualization9.00 Ratings00 Ratings
Interactive Data Analysis9.00 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
IBM SPSS Modeler
9.0
Ratings
10% above category average
Prospection
-
Ratings
Interactive Data Cleaning and Enrichment9.00 Ratings00 Ratings
Data Transformations9.00 Ratings00 Ratings
Data Encryption9.00 Ratings00 Ratings
Built-in Processors9.00 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
IBM SPSS Modeler
9.0
Ratings
7% above category average
Prospection
-
Ratings
Multiple Model Development Languages and Tools9.00 Ratings00 Ratings
Automated Machine Learning9.00 Ratings00 Ratings
Single platform for multiple model development9.00 Ratings00 Ratings
Self-Service Model Delivery9.00 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
IBM SPSS Modeler
9.0
Ratings
6% above category average
Prospection
-
Ratings
Flexible Model Publishing Options9.00 Ratings00 Ratings
Security, Governance, and Cost Controls9.00 Ratings00 Ratings
Best Alternatives
IBM SPSS ModelerProspection
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 8.4 out of 10
IBM SPSS Statistics
IBM SPSS Statistics
Score 8.3 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM SPSS ModelerProspection
Likelihood to Recommend
9.5
(0 ratings)
-
(0 ratings)
Usability
8.8
(0 ratings)
-
(0 ratings)
Support Rating
10.0
(0 ratings)
-
(0 ratings)
User Testimonials
IBM SPSS ModelerProspection
Likelihood to Recommend
Modeler is well suited for understanding consumer data. The ability to create a prediction and then to understand what is driving that prediction is strong in Modeler. Modeler is closely aligned with the CRISP-DM data mining approach meaning it is not just the 'doing' but also the theoretical background behind the development of data mining models.
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No answers on this topic
Pros
  • A very nice and easy to use interface.
  • A great variety of analytics, from statistical calculation to data validation and predictive statistics.
  • Has a steep learning curve.
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No answers on this topic
Cons
  • Some Analyses aren't there out of the box but can be added through open languages like R and Python.
  • Graphs could be better.
  • Unable to read data stored in OLAP databases
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No answers on this topic
Usability
The ability to do predictive modeling, text analytics for both structured & unstructured data, decision management, optimization, and support for various data sources
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No answers on this topic
Support Rating
The online support board is helpful and the free add ons are incredibly appreciated.
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No answers on this topic
Alternatives Considered
We additionally use SAS Data Miner as a toolkit. Compared to SAS Data Miner, the SPSS Modeler is a good competitor. SAS probably is more integrated in the market for a visual-based code for data science activities. However, I don't think it offers anything better than SPSS, and I really like several of the helpful components for usability for SPSS like peaks into nodes.
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No answers on this topic
Return on Investment
  • I am able to study and work from home sustainably
  • I can help others have a high quality university education experience to graduate confident and competent to meet gaps in the wider community
  • Market research for my business
  • Help other small businesses to create viable and high quality products and services
  • Contribute to research projects: ethical, high quality data analyses and interpretation
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No answers on this topic
ScreenShots

IBM SPSS Modeler Screenshots

Screenshot of Use a single run to test multiple modeling methods, compare results and select which model to deploy. Quickly choose the best performing algorithm based on model performance.Screenshot of Explore geographic data, such as latitude and longitude, postal codes and addresses. Combine it with current and historical data for better insights and predictive accuracy.Screenshot of Capture key concepts, themes, sentiments and trends by analyzing unstructured text data. Uncover insights in web activity, blog content, customer feedback, emails and social media comments.Screenshot of Use R, Python, Spark, Hadoop and other open source technologies to amplify the power of your analytics. Extend and complement these technologies for more advanced analytics while you keep control.

Prospection Screenshots

Screenshot of Prospection