Easy to use Intuitive Data Analytics platform for non - CS people
January 23, 2020

Easy to use Intuitive Data Analytics platform for non - CS people

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with KNIME Analytics Platform

KNIME Analytics Platform is actively used as the Predictive Analytical tool in the whole organization across departments in all domains, from production to sales to marketing to IT. We already had reporting tools, ETL tools, visualization tools but a friendly, relatively easy to use with no programming knowledge was required to disseminate Predictive Analytics across the organization. KNIME Analytics Platform was chosen for this because anyone can use it with a little bit of training, and it does not require Computer Science knowledge/background. It is used to create a predictive model for various business domains and kinds of models, such as classification, regression, and clustering.
  • Graphical UI
  • Ease of Use
  • Speed: It works slow, especially the opening.
  • Degree of freedom and customization in default nodes.
  • It enabled non-CS business units to carry out predictive analytics and forecast.
  • It introduced Data Analytics to people who were not aware of it.
Comparing the KNIME Analytics Platform to Anaconda and MATLAB, KNIME Analytics Platform's upsides are ease of use thanks to graphical interface and intuitiveness, no requirement of programming/coding and pre-existing nodes. Anybody can use it and create models even though he/she does not know Python, R or MATLAB. It also intuitively teaches the CRISP-DM methodology to non-data Analytics background users.
Since it is relatively new, there has not developed a vast previously asked/frequently asked questions library that comes up when you google an issue you come across with. This will happen only in time, and as the community grows. Because of the same reason, the community is not big. Consequently, it is possible not to receive good, fast responses to asked questions in community hubs and forums.

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KNIME Analytics Platform is best suited for an introduction to Data Science/Data Analytics. Since this area requires a somewhat computer science background because of data reading, retrieving, handling, preprocessing, model development, deployment is all carried out in some programming languages, and it is hard for a non-CS major to do these without knowing Python/R. This is where the KNIME Analytics Platform becomes handy. It contains graphical, drag-drop nodes that do these for you with no coding. Nodes are connected with one's output being another's input, as a workflow. Therefore end-to-end pipeline can be built with no coding. It also enables newcomers to the profession to follow up on what's going on in the pipeline, makes it easier to troubleshoot/debug, because it is very visual and intuitive. However, when high customization, sophisticated models, and speed is needed. KNIME Analytics Platform is less flexible and slow. So it is best for non-CS people, the business units.

KNIME Analytics Platform Feature Ratings

Connect to Multiple Data Sources
Extend Existing Data Sources
Automatic Data Format Detection
MDM Integration
Interactive Data Analysis
Interactive Data Cleaning and Enrichment
Data Transformations
Built-in Processors
Multiple Model Development Languages and Tools
Automated Machine Learning
Single platform for multiple model development
Self-Service Model Delivery
Flexible Model Publishing Options