Complementing the free and open source KNIME Analytics Platform, KNIME Business Hub provides a single, customer-managed environment for all data workers to collaborate on and deploy data science solutions across the organization.
Collaborate across teams and disciplines
Share and collaborate in teams on visual workflows, built using KNIME Analytics Platform
Save and reuse repeatable data processes and analytical models
Make Python functionality available to the wider organization by wrapping Python scripts
Collaboratively and asynchronously develop analytics solutions with version control
Upskill business and domain experts
Create a knowledge base for your team, department, or entire organization
Set standards for data access and routine operations and share best practices to enable self-onboarding for new users
Upskill any data user in your organization faster with an AI assistant
Automate spreadsheet work and repeatable data processes
Spend less time manually combining and cleaning spreadsheets, by automating data processes behind the scenes
Schedule any analysis to run on a recurring basis or based on specific conditions
Automate the delivery of reports to any number of stakeholders across the organization
Deploy enterprise-ready apps and services
Deploy your workflows as interactive data apps or REST APIs, bringing insights to anyone in the organization while enabling self-sufficiency
Choose on-prem or in-cloud installation, scale up with cloud-native architecture
Minimize IT bottlenecks with centralized administration, but with deployment monitoring at the team level
Build, administer, and automate a custom ModelOps process to facilitate the continuous delivery of data science
Govern AI usage with guardrails, gatekeeping, and audit trails
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Why KNIME
Hear about why Marcel Meyer, Head of Data Governance and Management at SIEMENS Healthineers, chooses to use KNIME for maintaining and curating datasets for widespread analytics.