I mainly use KNIME for ETL and data integration projects, followed by clustering and customer segmentation, process mining, AI and machine learning preprocessing pipelines, and recently GenAI orchestration and RAG workflows
One of the biggest advantages of KNIME is…
In my previous PeerSpot review from March 2024, I mentioned that KNIME was not very strong in visualization and that I wanted to see NLQ (Natural Language Query) and automated visualization capabilities added
Since then, KNIME improved considerably in AI integration and…
I wrote a review about KNIME on PeerSpot two years ago. This is my update since then
KNIME improved significantly over the past two years, especially in:
a) data science depth and
b) generative AI integration.
Previously, many teams used KNIME mainly for ETL,…
If I need to compress everything into one decision lens, the most important aspect is Time to value. How fast can you go from raw data to a decision that changes the business?Everything else supports this.
1. Onboarding speed
Setup in hours, not weeks
Clear UI with…
Established a SAS Viya-integrated Analytics Center of Excellence for Istanbul Metropolitan Municipality, supported by approximately $5M in USTDA funding
Built enterprise Visual Analytics dashboards, trained IT teams, and centralized IoT data from distributed municipal…
