Data Science Studio (DSS)

4.5 / 5
3 reviews

Who Uses This Software?

DSS is for all companies, whatever their expertise, industry or size, that want to create their own data-driven strategic advantages by transforming their raw data into business impacting predictions.

Average Ratings

3 Reviews

  • 4.5 / 5

  • 5 / 5
    Ease of Use

  • 4 / 5
    Customer Service

Product Details

  • Starting Price
  • Free Version
  • Free Trial
  • Deployment
    Cloud, SaaS, Web
    Installed - Mac
  • Training
    Live Online
    In Person
  • Support
    Business Hours

Vendor Details

  • Dataiku
  • Founded 2013
  • France

About Data Science Studio (DSS)

From analytics at scale to enterprise AI, Dataiku connects people, technologies, and processes to remove roadblocks along the data journey. With a centralized, controlled environment thats a common ground for data experts and explorers alike, Dataiku provides a shortcut to deployment and model management for a data-powered company.

Data Science Studio (DSS) Features

  • Chatbot
  • For eCommerce
  • For Healthcare
  • For Sales
  • Multi-Language
  • Predictive Analytics
  • Process/Workflow Automation
  • Virtual Personal Assistant (VPA)
  • Data Discovery
  • Data Visualization
  • High Volume Processing
  • Predictive Analytics
  • Regression Analysis
  • Sentiment Analysis
  • Statistical Modeling
  • Text Analytics

Data Science Studio (DSS) Reviews Recently Reviewed!

Making Kaggle Submissions with DSS

Apr 27, 2015

5 / 5
Ease of Use

4 / 5
Customer Support

Comments: As a non - data scientist, i was curious to see how DSS could help me with the data preparation (cleaning and combining data), feature engineering and predictive modelling phases of a data analysis project

My goal was to make 2 submissions on Kaggle challenges in under 1 hour and without 1 line of code using the Data Science Studio (Titanic and Otto Product Classification datasets).

First, I was really impressed with the overall ease of use and ergonomy of the studio. Building "recipes" for data preparation mostly uses visual processors and the operations are visible directly on a sample of the data, facilitating validation of preparation steps.

In a train / test scenario, i especially enjoyed being able to replicate my recipes on both datasets very easily.

I used the Data Visualization tool to build a few exploratory charts, which can be done quite easily, though it is not as powerful as specialized tools (namely Tableau or Qlik).

For the machine learning part, I restricted myself to visual machine learning in the studio, which already packs the most common algorithms (random forest, logistic, svm, gradient-boosting...). I found the ability to benchmark and compare algorithms performance quickly a great time saver, allowing me to reach a first score in under half an hour on each dataset.

Once I chose the best model, I only needed a few clicks to use the model to prepare and score the Test Dataset and make my submissions. Both times I was in the lower half of the rankings but above Kaggle algorithmic benchmarks.

For "real" Data Scientists and engineers, the Studio allows them to go much further by building recipes and models in R, Python, SQL, Hive, Pig etc...but even as a business analyst, I felt empowered by the software that enabled me to prepare, analyse and build simple predictive models with my data.

Data science friendly

Dec 26, 2018

5 / 5
Ease of Use

4 / 5
Features & Functionality

3 / 5
Customer Support
Likelihood to Recommend: 8.0/10 Not

Pros: It helps me explore various anaylitical domains. Makes life easy and provides accurate results

Cons: Not much resources to learn from about the software

Excellent software for data and business teams collaboration in building data science applications

Nov 21, 2015

5 / 5
Ease of Use

5 / 5
Customer Support

Comments: Easier way for data and business teams collaboration aiming to build data science applications