Welcome to DSx ... DSx is welcomed by us!
Updated January 26, 2018
Welcome to DSx ... DSx is welcomed by us!
Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with IBM Data Science Experience (DSx)
We use IBM DSx in the whole company, mostly in the field of research; we address it to predictive and descriptive analysis.
- DSx is very useful for viewing data from different points of view (via Watson Analytics)
- DSx is very powerful with its Python and R ambient integrated within
- DSx is a good tool for collaborative machine learning procedures
- DSx ...
- By now we are just testing but it surely had a good impact on the time reduced for getting such powerful analysis
It is the first product we tried.
Using IBM Data Science Experience (DSx)
5 - IT technicians that are on a path to becoming data scientists.
2 - Programmers, mathematics, physics
- Predictive analysis
- Descriptive analysis
- analysis of data integrity
- with DSX we have found several new points of view on the matter that concerns our analysis: it made possible to watch our data from 2 steps backwards and that allowed us to move 4 steps forward on our comprehension of the phenomena that we were studying
- we are thinking about what we call DSX over DSX which means that, according to the results we found and to the paths that lead us to them, we are modyfing our own procedures as well and they became our new field of study: the time used for 'cleanin' data has been well spent because now we can think about their structure and remodelling the whole procedure that concerns with data itself
Evaluating Data Science Experience and Competitors
Not Sure
- Product Reputation
- Existing Relationship with the Vendor
Read many reviews and articles about case studies
I would try demo version of the most credited choices
Data Science Experience Implementation
- Implemented in-house
Yes - Analysis of data, import steps, normalizing data, test and development of solution
- watson analytics
- predictive analysis
Data Science Experience Training
- Online training
- In-person training
- Self-taught
Platform lead you step by step in acquiring the knowledge that one needs
Data Science Experience Support
| Pros | Cons |
|---|---|
Quick Resolution Good followup Knowledgeable team Problems get solved Kept well informed No escalation required Immediate help available Support understands my problem Support cares about my success Quick Initial Response | None |
At the beginning I was wondering how to parse my typemismatched data and they showed how DSX itself could help, via machine learning, in refining the procedures of business intelligence for parsing purposes
Using Data Science Experience
| Pros | Cons |
|---|---|
Like to use Relatively simple Easy to use Technical support not required Well integrated Consistent Feel confident using Familiar | None |
- Notebook editing with the integrated interpreter of code
- Not yet had this experience
Not Sure - I am going to check it out soon
Data Science Experience Reliability
Relationship with IBM
We could find together which were the best options to be activated for our special purposes
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