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IBM Predictive Analytics

Name: IBM Predictive Analytics
Rating: 4.5 (2 reviews)

By IBM

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Highlights : About IBM Predictive Analytics

Statistical analysis and visualization

Predictive modeling and data mining

Decision management and deployment

Big data analytics

Open source integrations

About IBM Predictive Analytics

IBM predictive analytics is a flexible and scalable predictive analytics suite designed to address all aspects of the entire analytical process; data collection, planning, deployment, analysis, and reporting. It is an intuitive solution that offers comprehensive predictive analytics capabilities and an extensive collection of machine learning algorithms on a single platform. The platform allows users to derive predictive insights from their data to streamline the decision-making process, pinpoint and avert threats before they affect their business, and predict customers’ behaviors.The software offers simple predictive analytics solutions designed to meet the specific needs of different users including beginners and experienced analysts. IBM Predictive Analytics portfolio of applications include IBM SPSS Statistics, IBM SPSS Analytics Software, IBM SPSS Modeller, IBM Analytical Decision Management, IBM Social Media Analytics, IBM SPSS Data Collection, and SPSS Predictive Analytics Enterprise.

Specifications

Business Size

Mid-Market

Deployments

Cloud

Language Support

English

Platforms

Product Details

Benefits

Innovative software suite

IBM Predictive Analytics is an innovative software suite that offers impressive functionality that spans predictive modeling, ad-hoc statistical analysis, data mining, optimization, text analytics, machine learning, and real-time scoring. It’s a robust application that offers tools to help businesses discover patterns in data and scale beyond the current and past happenings to predict what is likely to happen in future.

Robust SPSS Analytic Server

Additionally, IBM Predictive analysis features a robust SPSS Analytic Server built to facilitate predictive analytics for big data. This module works in unison with the SPSS Modeler to deliver an integrated platform that utilizes data from Spark applications and Hadoop distributions. It applies machine learning and real-time processing to perform deep analysis while reducing coding to accelerate results. Better still, the combination offers defined interfaces that streamline data analysis for both business users and analysts.