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, Oracle R, google TensorFlow and Axiom Sales Force Development
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.