Get access to a digital workbench for data analysis based on text content input. Build predictive models of varying precision and test them, verify functionality and results, and more. Visualize the data mapping process and customize different aspects or components.
IBM® SPSS® Modeler is a powerful and versatile data and text analytics workbench that helps you
Download SPSS Clementine latest Version 12.0
creates accurate predictive models quickly and intuitively, without programming. Easily visualize the data mining process using the intuitive graphical interface of IBM SPSS Modeler. From this interface, you can easily access both structured (numbers and dates) and unstructured (text) from a variety of sources, such as operational databases, survey data, files, and your IBM Cognos 8 Business Intelligence framework, and use modeling. to improve business results in areas as diverse as customer relationship management, marketing, resource planning, fraud and risk mitigation, medical research, law enforcement, and national security.
Download SPSS Clementine
Produce deeper insights and more accurate predictions by using all your data assets to create a complete view of your customers or constituents. IBM SPSS Modeler integrates with IBM Cognos 8 Business Intelligence software, as well as a wide range of databases, spreadsheets, and flat files, including IBM® SPSS® Statistics, SAS®, and Microsoft® Excel® files, and in a wide range of platforms. Choose from a full range of advanced analytical capabilities, including state-of-the-art algorithms, automated data preparation, and rich, interactive visualization capabilities.
Deploy models, predictions, and insights for decision-makers and operating systems, including call center staff, customer service staff, and websites. Access all the predictive capabilities of IBM SPSS Modeler, as well as the data transformation, hypothesis testing, and reporting capabilities of IBM SPSS Statistics, from a single interface.
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SPSS Clementine 12.0
Integration with Cognos and InfoSphere ™ Warehouse helps you get more value from your information systems investment because you can use your wealth of data not only to better understand the current state of your business but also to gain insight into the future. through predictive analytics.
SPSS Clementine Main features:
- Discover key insights and use them to solve real business problems
- Use IBM SPSS Modeler to solve your toughest challenges
- The graphic interface makes modeling easy and saves time
- Get faster results through automation
- Use all your data to obtain the maximum information
- Support for business standards and technologies
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FAQ
What does SPSS Modeler do?
SPSS Modeler is a leading visual data science and machine learning solution. … Leading organizations around the world rely on IBM for data discovery and preparation, predictive analytics, model management and deployment, and machine learning to monetize data assets.
What does SPSS stand for?
Statistical solutions for products and services
The name of the software originally stands for Statistical Package for Social Sciences (SPSS), reflecting the original market, and later it was changed to Statistical Solutions for Products and Services.
What is the difference between SPSS Statistics and Modeler?
SPSS Modeler provides data mining and text analysis software, while SPSS Statistics is an integrated family of products. Both tools allow users to create predictive models and perform other analysis tasks. … Modeler can apply different processes and algorithms to help the user discover hidden information in the data
SPSS Modeler available for free for educational use
A powerful visual tool like IBM SPSS Modeler is actually a great way to learn about data science and machine learning.
What is the advantage of using SPSS over calculating statistics by hand?
It reduces the possibility of making mistakes in your calculations.
WHAT IS THE NEW NAME FOR SPSS?
IBM SPSS Statistics (2010) The new official name is now IBM SPSS Statistics and is part of the IBM Analytics portfolio. IBM SPSS Statistics (2017) 25.0.
