About Salford Predictive Modeler

Salford Predictive Modeler is a predictive analytics software from Minitab that helps develop predictive, descriptive, and analytical models. It includes tools for data mining, machine learning, and model assessment so users can effectively analyze data patterns and make informed decisions. Salford Predictive Modeler provides a comprehensive suite for machine learning with features that support multiple languages, direct communication with Minitab, and access to the Minitab Solution Center. Users can use advanced modeling techniques to improve the accuracy of their forecasts and insights. Key capabilities: predictive modeling data mining model selection model assessment multilingual support Best for: data analysts and data scientists that need to create reliable predictive models.

Salford Predictive Modeler Details

Vendor
Minitab
Year Launched
1972
Location
1829 Pine Hall Road, State College, PA 16803, US
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, French, German, Spanish, Italian, Portuguese
Users
Data Analysts, Researchers, Statisticians, Data Scientists, business analysts
Industries Served
Healthcare, Finance, Retail, Manufacturing, Education, Government, Marketing
Tags
Data mining

Salford Predictive Modeler's In-App Market Place

Does Salford Predictive Modeler have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CHF (CHF), INR (₹), CNY (¥), RUB (₽), MXN (Mex$), BRL (R$), KRW (₩), TRY (₺), ZAR (R)

Pros & Cons

  • Provides a highly accurate and ultra-fast platform for developing various analytical models.
  • Integrates powerful and industry-leading modeling engines like CART, MARS, TreeNet, and Random Forests.
  • Offers a wide range of data mining technologies, covering diverse analytical needs from classification to clustering.
  • Offers robust educational resources and dedicated technical support.
  • Pricing information is not publicly available and requires direct contact, which can be a hurdle for initial evaluation.
  • The text primarily highlights specific algorithms which might suggest a narrower focus compared to other broader machine learning platforms.
  • Being part of Minitab's integrated suite, there might be limitations or complexities

Salford Predictive Modeler's Support Options

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