Predictive Analytics – Softwares

Predictive Analytics:

In this post we will explore some of the top software used for data analytics, logistics transport visualization and machine learning. In today’s business environment it is needed determine patterns from data sets for predicting future outcomes. Predictive analytics can help to understand performance, interpret various data to understand what is likely to occur and help in making decision to increase customer sanctification. The software’s can enable working with big data and analyze spreadsheets in a easy and fast way. Many of the software’s comes with different artificial intelligence models and can be configured for automation.

Top 5 software’s for Predictive Analytics:

Below is listed five software’s based on reviews from B2B comparison directory.

1. Anaconda

An open data science platform powered by Python. The open source version of Anaconda includes several packages from Python and R packages. Two popular packages include NumPy and SciPy. (predictiveanalyticstoday.com)

2. Microsoft R

“R is the world’s most powerful, and preferred, programming language for statistical computing, machine learning, and graphics, and is supported by a large community of users”.  (predictiveanalyticstoday.com)

3. Microsoft Azure Machine Learning

“Offers cloud based advanced analytics designed to simplify machine learning for business”. (predictiveanalyticstoday.com)

4. IBM Predictive Analytics

“IBM offers easy to use predictive analytics products and solution that meet the specific needs of different users and skills levels from beginners to experienced analysts”
“Perform statistical analysis including regression analysis, cluster analysis and correlation analysis”. (predictiveanalyticstoday.com)

5. SAS Predictive Analytics

“SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market”. (predictiveanalyticstoday.com)

Reference:

Predictiveanalyticstoday – B2B directory which provides buying guides, reviews and ratings for enterprise software and services

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