KNIME Analytics Platform

The KNIME Analytics Platform provides a comprehensive set of tools for addressing the data manipulation and data science issues we encounter. Internally we use it for training new data scientists, building awareness of the data science workflow and data manipulation with non-technical staff. We also use it on our own data projects. The no-code environment allows us to focus on the methodology and intent of analyses with novice users without them encountering errors in syntax as they would if they were learning to code at the same time. However, the R and Python nodes allow experienced data scientists to work in their preferred language as well as allowing us to scaffold the learning of new data scientists in those languages when it becomes advantageous. We find non-technical clients will engage with the visual node structure much more than code, which helps us get to a solution more quickly. We can deliver stand-alone solutions to clients with confidence that we are not tying them into an expensive vendor relationship. Clients value that they can give access to all of their users at no licencing cost. Where collaboration and automation is required, KNIME Analytics Platform offer an extremely competitive server solution.

• KNIME Analytics Platform is free and our investment in training time has been paid back many times over when using the software for rapid prototyping and implementing our own analysis
• On one occasion we deployed KNIME Analytics Platform and Python with a client. Due to their secure environment, it was prohibitively expensive in time and capital to add Python packages to account for additional requirements as the project progressed and we switched entirely to KNIME Analytics Platform due it its comprehensive set of features. Without KNIME Analytics Platform the project would have been halted and resulted in a loss of >£40k in revenue.

Alteryx, RapidMiner, Dataiku DSS, IBM SPSS Statistics and Anaconda

Microsoft Power BI

KNIME Analytics Platform is the central data processing system we use in our consulting work with financial institutions. We have found the flexiaibity, integration with other systems such as SQLite, Python, etc. to be a great advantage. The self documenting nature of the GUI is awesome and eliminates a task no one wants to do (documentation). Access to AI machine learning tools is another bonus we are also exploiting to a great advantage.

• Signficantly reduced training time for new anaysts. This is due to the self documenting nature of the GUI.
• Improved turnaround time on standardized client work.
• Reduced time spent in development since the focus can be on what is being done, not the syntax of the code.

SQLite, Microsoft Excel and Microsoft Access

Microsoft Office 365, HubSpot CRM, ClickUp, Google Drive, Adobe Acrobat

KNIME Analytics Platform is the perfect tool for data loading, transformation, and analytics. The flexibility with Python and R scripting is incredible and replaces many manual data tasks. Every manual data transformation frequently done in Excel should be transformed into a KNIME Analytics Platform flow. In most cases, there is no need for manual steps in data analytics when using KNIME Analytics Platform. The available documentation and training are perfect for starters. The low-code-no-code approach gives unexperienced users a great chance to step up in the data analytics game. KNIME Analytics Platform is an everyday tool in my work life.

• I have no numbers, but I know how much time I save after I created a flow and rerun it without manual inputs and steps needed

Microsoft Power BI, Tableau Desktop

As Head of Analytics for Eviden (an Atos company), I have built a strong relationship with KNIME as I wholeheartedly believe in the democratisation of best of breed analytics platforms, of which KNIME is one, that can significantly drive organisations to real business value from their data. It has a shallow learning curve and can drive immediate efficiencies in a short space of time, particularly in the management reporting space for those that are report producers.

As the KNIME Analytics Platform is open source, it integrates with other open source libraries and can accelerate organisations to delve into advanced analytics and AI in areas of prediction for example. There isn't a better time than today to unleash this platform across your user base and reap the value of enhanced quality of insights in parallel to increasing data literacy.

• High ROI
• Time savings through report automation
• the visual programming capability allows for wider team contribution from SMEs as they understand the construct of the analysis. Inclusivity from this perspective is key.

Microsoft Excel, Microsoft Visual Studio Code, Microsoft Power BI

Nordax Bank uses the KNIME Analytics Platform to build risk and marketing models.

IBM SPSS Statistics, Tableau Desktop

• Significantly reduced time from modeling to production
• Increased sales with more accurate response models
• Shallow learning curve and free access to web-based tutorials