Best Data Mining Software in Germany of 2026

Compare the Top Data Mining Software in Germany as of January 2026

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What is Data Mining Software in Germany?

Data mining software is a tool that helps businesses extract valuable insights and patterns from large datasets using techniques like statistical analysis, machine learning, and artificial intelligence. These platforms enable organizations to identify trends, relationships, and hidden patterns in their data, which can be used for decision-making, predictive analysis, and trend forecasting. Data mining software typically includes features for data cleansing, classification, clustering, regression analysis, and association rule mining. It is used across various industries for applications such as customer segmentation, fraud detection, risk management, and sales forecasting. By automating the process of analyzing large volumes of data, data mining software helps businesses unlock actionable insights and improve their strategic planning. Compare and read user reviews of the best Data Mining software in Germany currently available using the table below. This list is updated regularly.

1

JMP Statistical Software

JMP Statistical Discovery

JMP, data analysis software for Mac and Windows, combines the strength of interactive visualization with powerful statistics. Importing and processing data is easy. The drag-and-drop interface, dynamically linked graphs, libraries of advanced analytic functionality, scripting language and ways of sharing findings with others, allows users to dig deeply into their data, with greater ease and speed. Originally developed in the 1980’s to capture the new value in GUI for personal computers, JMP remains dedicated to adding cutting-edge statistical methods and special analysis techniques from a variety of industries to the software’s functionality with each release. The organization's founder, John Sall, still serves as Chief Architect.

1 Rating

Starting Price: $1320/year/user

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2

Semantria

Lexalytics

Semantria is a natural language processing (NLP) API from Lexalytics, leaders in enterprise sentiment analysis and text analytics since 2004. Semantria offers multi-layered sentiment analysis, categorization, entity recognition, theme analysis, intention detection and summarization in an easy-to-integrate RESTful API package. Semantria is totally customizable through graphical configuration tools, supports 24 languages, and can be deployed across private, public and hybrid clouds. Semantria scales effortlessly from single servers to entire data centers and back again to meet your on-demand processing needs. Integrate Semantria to add powerful, flexible text analytics and natural language processing capabilities to your cloud-based data analytics products or enterprise business intelligence infrastructure. Or add Lexalytics storage and visualization tools to create a complete business intelligence platform for storing, managing, analyzing and visualizing text documents.

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3

DeepSee

DeepSee

Putting humans back in charge of the automation. DeepSee empowers knowledge workers with AI techniques to turn data into powerful business assets. Solving real problems for real people. Knowledge is power, and equipping subject-matter experts with the right tools to sift through all the noise has never been more critical to business success. DeepSee created the Knowledge Process Automation (KPA) platform to mine unstructured data, operationalize AI-powered insights, and automate results into real-time action for the enterprise. We’re putting deep knowledge and the power of AI back into human hands. For enterprises across every major business sector, driving strong performance isn’t just about tracking KPIs. Today, competitive advantage is fueled by understanding trends, predictions, and outliers. The DeepSee platform extracts, processes, and transforms untapped data into these key competitive insights in real time — eliminating complexities between analysis and action.

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4

WizWhy

WizSoft

WizWhy determines how the values of one field in the data are affected by the values of other fields. The system performs its analysis based on one field selected by the user as the dependent variable, while the other fields are the independent variables (or conditions). The dependent variable can be analyzed as either Boolean or continuous. The user can fine-tune the analysis by defining parameters such as the minimum probability of the rules, the minimum number of cases in each rule and the cost of a miss vs. the cost of false alarm. WizWhy reveals and lists the rules that relate between the dependent variable and other fields (conditions). The rules are formulated as if-then and if-and-only-if statements. On the basis of the discovered rules WizWhy points out the main patterns, the unexpected rules (interesting phenomena) and the unexpected cases in the data. WizWhy can issue predictions for new cases on the basis of the discovered rules.

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