IBM SPSS Modeler - Complete analytics tool
December 18, 2018
IBM SPSS Modeler - Complete analytics tool
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with IBM SPSS Modeler
IBM SPSS Modeler is extensively used by our data analytics team. It is used for customer analytics to formulate and understand retention and engagement metrics, and used to analyze our CRM. It gives us a good amount of insights that help us to with easy and quick decision making. The business people use it for business problems and they don't have to have technical understanding.
- The model formulation from large amount of structured and unstructured data is commendable.
- It has a beautiful and intuitive new UI.
- The manual is very easy to understand. Hence, reduces the on boarding.
- The natural language processing (NLP) needs improvement.
- Already present integrations to other IBM products is poor.
- There are many things like Text analytics which are only available in gold edition.
- It is hard for a non-tech person to implement advanced modelling which requires Python, R.
- Positive - Ease of decision making and reduction in product life cycle time.
- Positive - Gives entirely new perspective with the help of right team. Helps expanding the portfolio.
- Negative - Needs to have good understanding about mathematical modelling, of which talent is rare and expensive. Hence, increase the costs for R&D and manpower.
The field of data analytics has important value for each organization. IBM SPSS Modeler is one of the leaders in this highly competitive vertical. IBM SPSS is very intuitive compared with others, and has reduced the complexity. This software has various good functionalities which is very beneficial for an analytics based organization.