Analytics for the Masses
Updated February 22, 2019

Analytics for the Masses

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

Overall Satisfaction with Watson Studio (formerly IBM Data Science Experience)

We are working to leverage data analytics using an on-premises deployment to aid in predicting faults for our customers in a proactive/reactive manner. We are looking to leverage efficient and regularly trained algorithms in our Diagnostics Engine/BPMS to reduce our overall time to handle and potentially eliminate tickets opened by our customers

Pros

  • Ease of use and quick to explore
  • Guided experiences and ability to leverage multiple algorithms to identify the best one
  • Great support and sales teams

Cons

  • There isn’t much I think I can provide critical or improvement feedback on
  • I think WS is going to allow more casual BA personnel to provide advanced insights/api’s to the business without the requirement of dedicated traditional data scientist skills with strong statistical/modeling background
  • I love the approach to bring Analytics to the masses.
They are close, but I feel Alteryx is more of an enhanced Jupyter capability, whereas WS is more of an enterprise solution for multiple teams
The guided nature of the front end of DSX/WS truly enable an “easy-button” for casual business analysts/scientist, and the advanced functionality using SPSS is a fantastic blend if easy/advanced AI/Statistics

IBM Watson Studio Feature Ratings

Connect to Multiple Data Sources
9
Extend Existing Data Sources
8
Automatic Data Format Detection
8
Visualization
9
Interactive Data Analysis
9
Interactive Data Cleaning and Enrichment
8
Data Transformations
9
Data Encryption
7
Built-in Processors
9
Multiple Model Development Languages and Tools
9
Automated Machine Learning
9
Single platform for multiple model development
9
Self-Service Model Delivery
9
Flexible Model Publishing Options
9
Security, Governance, and Cost Controls
10

Comments

More Reviews of IBM Watson Studio