Market Simulator with DSX
March 15, 2018

Market Simulator with DSX

Marcus Vinicius Velleca Bernardi | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM Data Science Experience (DSx)

DSX is been used by my department only as a pilot project to prove the tool capabilities, although we are currently doing different projects: one to simulate the Brazilian retail market to find the best places to open stores, measure performance of existing stores, another to read verbatim text from our clients, and a third to correlate sales behavior with population cluster.
  • Flexibility: all the other solutions we procure were modular with black boxes.
  • Data center is in Europe, since in my company we can't have data in US
  • From all the solutions we procure IBM was the only team that actually embarked on the project and didn't only tried to sell a tool/service.
  • The download of files is terrible
  • Managing the files is terrible
  • We have been more assertive in the places we can open stores, which has a direct impact on the ROI.
  • Measuring the performance of stores and takeing actions on it
  • Targeting behavior of clients

SAP Leonardo : Still too young and very hard to use. Besides it doesn’t had maximization tools

Oracle R : They were the only ones that were actually able to replicate the DSX capabilities, but they lacked the team to do so.

Google TensorFlow : impossible for programming and very expensive to hire the consulting

Sales force : Didn’t have the capabilities of creation , they are only black boxes of pre-fabricated solutions

Spark beyond : Kind of black boxes and didn’t have any kind of support in Brazil.

This product is good for specific needs of creation, since you have to build the solutions from scratch.