Data Analytics with KNIME
Access broad and deep analytical capabilities through an intuitive interface.
No limit on what you can do with your data.
KNIME’s visual workflows enable anyone–whether they’re coming from spreadsheets, software engineering or data science–to access the most advanced methods and popular ML techniques and libraries. KNIME’s commitment to open source also ensures that the platform integrates with all current and future technologies in the field.
Advance beyond spreadsheet manipulation
Move from manual data aggregation and manipulation in spreadsheets to visual workflows that allow for automation and re-use. After mastering data wrangling, users can leverage the same visual workflow paradigm to upskill into more advanced analysis. Leverage K-AI, our handy AI assistant, to help accelerate your learning.
Perform statistical analysis
Perform descriptive statistics to summarize your data and inferential statistics to draw conclusions from your datasets. With a wide range of statistical capabilities, including hypothesis testing with t-tests and ANOVA, linear and logistic regression, and time series analysis, KNIME ensures that you can thoroughly analyze your data to identify trends, relationships, and outliers.
Leverage machine learning and predictive analytics
Access the most popular ML techniques & libraries. Choose from classification, clustering, or anomaly detection. Use any popular supervised learning algorithm such as decision trees, random forests, support vector machines, and unsupervised learning algorithms such as k-means, and hierarchical clustering. Preprocess your data, train, validate, and deploy your model with KNIME.
Utilize LLMs and text mining
Combine traditional analytics with advanced natural language processing and genAI to automate text analysis, perform sentiment analysis, and generate insights from unstructured data sources such as customer reviews and social media posts. Connect to and prompt large language models (LLMs), chat models, and embedding models provided by OpenAI, Azure OpenAI Service, Hugging Face, and GPT4ALL.
Analyze unstructured and complex data
Analyze unstructured and complex data types, including images, audio, video, molecules, and networks. Utilize KNIME’s extensive library of nodes and integrations to perform image recognition, sound analysis, and more with advanced algorithms tailored for specific data types.
Recommended resources
Explore Geospatial Workflows
Access popular nodes and workflows used for accessing, blending, and analyzing geospatial data.
From Words to Wisdom: An Introduction to Text Mining with KNIME
Learn to access, process, and analyze text documents using the KNIME Text Processing extension.