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DSX from a BP perspective
March 21, 2018

DSX from a BP perspective

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Reseller

Overall Satisfaction with IBM Data Science Experience (DSx)

We are an IBM Business Partner, we sell SPSS solutions and we were involved by IBM to try DSx and see how this new solution can fit our customer's needs. We are seeing DSx as a compliment to SPSS in organizations with users that are more prone to code analytics in open source languages instead of using more traditional tools like Statistics or Modeler.
  • Collaborative Work
  • Workspace
  • Scalability
  • SPSS Integration
  • Modeler Canvas development
  • Open source compatibility
  • So far, a few of our customers see or have an application with the tool.
  • Most of our customers are still developing analytics skills, and this tool doesn't help them in their learning curve.
  • On the positive side, this is a step forward to provide new customers with a suite of tools that they understand.
SPSS - Totally different approaches, SPSS UI is now a well-known name with a well-established user base who we consider aren´t going anywhere but Statistics.

Modeler - A proven analytical solution with capabilities to deal with huge datasets, scalability offers you now the possibilities of models deployment, really flexible tool that you can add to the missing techniques via R or Python Integration.

Anaconda - A great option less pricey than DSx but lacking the IBM Ecosystem.
For organizations that already have a data science department in place. Not for business users that need to have fast access to results in order to meet business demands.

DSX is fulfilling the capabilities that all users need. We see the main core of users on people who want to experiment with analytics, algorithms, and techniques before going full business implementation.