Gavagai vs. IBM SPSS Modeler
| Product | Rating | Most Used By | Product Summary | Starting Price |
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 Gavagai | Score10 out of 10 | Enterprise companies (1,001+ employees) | Gavagai Explorer is a text analysis tool for companies that want to keep track of what their customers think – regardless of which language they speak. Explorer analyzes texts in 47 languages. The texts get automatically analyzed and the results are presented in interactive and share-able Dashboards. Gavagai understands meaning The majority of the text data it analyzes comes from sources such as surveys, reviews, emails, chat conversations, and social… | $3,000 Time used to Set Up |
 IBM SPSS Modeler | Score7 out of 10 | N/A | IBM SPSS Modeler is a visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations can use it for data preparation and discovery, predictive analytics, model management and deployment, and ML to monetize data assets. | $499 per month |
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| Entry-level Setup Fee | Optional | Optional | ||||||||||||||
| Additional Details | Buy extra credits at any time Bought credits never expire | IBM SPSS Modeler Personal enables users to design and build predictive models right from the desktop. IBM SPSS Modeler Professional extends SPSS Modeler Personal with enterprise-scale in-database mining, SQL pushback, collaboration and deployment, champion/challenger, A/B testing, and more. IBM SPSS Modeler Premium extends SPSS Modeler Professional by including unstructured data analysis with integrated, natural language text and entity and social network analytics. IBM SPSS Modeler Gold extends SPSS Modeler Premium with the ability to build and deploy predictive models directly into the business process to aid in decision making. This is achieved with Decision Management which combines predictive analytics with rules, scoring, and optimization to deliver recommended actions at the point of impact. | ||||||||||||||
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| Likelihood to Recommend | 10.0 | 7.0 |
| Usability | - | 8.0 |
| Support Rating | - | 10.0 |