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Dataiku DSS Review

2

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Very good

Revainrating 4.5 out of 5  
Rating 
4.4
Artificial Intelligence, Data Science and Machine Learning

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Description of Dataiku DSS

Dataiku is the centralized data platform that moves businesses along their data journey from analytics at scale to enterprise AI. By providing a common ground for data experts and explorers, a repository of best practices, shortcuts to machine learning and AI deployment/management, and a centralized, controlled environment, Dataiku is the catalyst for data-powered companies. Customers across retail, e-commerce, health care, finance, transportation, the public sector, manufacturing, pharmaceuticals, and more use Dataiku to power self-service analytics while also ensuring the operationalization of machine learning models in production. By removing roadblocks, Dataiku ensures more opportunity for business-impacting models and creative solutions, allowing teams to work faster and smarter.

Reviews

Global ratings 2
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Type of review

Revainrating 4 out of 5

Easy to integrate, user friendly interface

The capability it gives us with which we can automate our business processes in real time using bigdata technology has been amazing! We have no complaints as far as this product goes because what they do very well are automations tasks especially within predictive analysis or recommendation engines such as NLP & ML algorithms etc. I would like more integration between other products but overall great experience so there's nothing bad about them yet if you're looking into automation solutions…

Pros
  • Easy to use for most beginners, lots tutorials online that covers all steps.
  • Great data science platform
  • Very good visualizations tool
  • Excellent analytics dashboard interfaceEasy installation procedure
Cons
  • Lack o advanced functionalities compared say Tableau

Revainrating 5 out of 5

Easy and effective way managing data

The interface was easy enough even as an inexperienced user like myself could get it up in just minutes! There are several different ways you can use this tool including building your own models or using prebuilt ones such as predictive maintenance & anomaly detection etc. I didn't have any issues with running my code but if there were some features missing (like support for R language) then maybe they should add those so people who don’t know how to program would still be able to make good…

Pros
  • You wouldn‘ t think that something basic looking will turn into complex piece once used properly ! Also works well both from frontend perspective where data scientists/data engineers develop their workflows ,and also backend side by providing flexibility around what one might want /need within platform
Cons
  • Some problems