Having an idea of the prospects of the company is essential. With predictive analytics API software, the software can help companies have a better idea of their future so they can make well-informed decisions in the present. Here are some of the best predictive analytics software available right now.

10+ Best Predictive Analytics API Software

1. Google AI Platform

google ai platform

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Rating: 4.3/5

Price: Free

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2. Microsoft Azure

microsoft azure

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Rating: 4.6/5

Price: Free

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3. Anaconda

anaconda

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Rating: 4.6/5

Price: $14.95/Month

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4. Dataiku DSS

dataiku dss

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Rating: 5/5

Price: Custom

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5. RapidMiner Studio

rapidminer studio

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Rating: 5/5

Price: Custom

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6. KNIME Analytics Platform

knime analytics platform

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Rating: 4.6/5

Price: $14,500/year

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7. H2O.ai

h2o

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Rating: 5/5

Price: Free

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8. BigML

bigml

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Rating: 4.7/5

Price: $300/Month

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9. Intuitics

intuitics

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Rating: 4/5

Price: Custom

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10. Zementis

zementis

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Rating: 4/5

Price: Custom

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11. Yottamine

yottamine

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Rating: 4/5

Price: Custom

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What Is Predictive Analytics Software?

Predictive analytics software is data analytics software that analyzes data patterns to provide prediction outcomes. The software analyzes common patterns and trends found in data by using statistical analysis and algorithms.

Benefits

Predictive analytics software allows users to create and manage decision models that companies can use to provide future insights on their operations. The software also helps companies better understand their customers by looking at the current demands and trends. This isn’t strictly enterprise software as the software is also used by data analysts, data scientists, and developers to better understand their products and their partners. The software also allows users to better identify potential risks that they might encounter in the future. The software also provides possible Opportunities that users might look forward to in the future. The healthcare predictive analytics software should allow companies to analyze big data using big data analytics software capabilities to analyze large sets of data. Predictive analytics in software testing also allows companies to deploy their data both on-premises officers and in the cloud.

Features

Predictive analytics software should allow users to analyze small and large sets of data, whether they are structured or unstructured. The software should also allow users to create datasets and compile them for data visualization for easier representation and view of the data. Predictive analytics software for higher education should allow users to create predictive models to allow the software to forecast possible opportunities and consequences. The software for predictive analytics should also constantly adapt to change and revisions as data evolve with newer information frequently. The real-time predictive analytics software should also allow users to import and export data to and from on-premises offices and cloud remote offices.

  • Analyze structured and unstructured data
  • Create datasets
  • Compile data for visualization
  • Create and manage predictive models
  • Adapt to data changes
  • Import and export data from and to on-premises and cloud
  • Top 10 Predictive Analytics API Software

1. Yottamine

Yottamine uses artificial intelligence to help companies provide predictive reports that will help them make better business decisions. Yottamine has around 25 employees and earns a revenue of around $5 million.

2. Google AI Platform

Google AI Platform’s artificial intelligence software helps companies manage their ML workflow effectively. Google has 156,500 employees and earns a revenue of $257 billion.

3. Microsoft Azure

Microsoft Azure helps companies develop apps with various capabilities that include predictive analysis. Microsoft has 189,984 employees and earns a revenue of $168 billion.

4. Intuitics

Intuitics empowers companies with its easy analytics software that helps them deploy into their web applications smoothly. Intuitics has 13,978 employees and earns annual revenue of $2.9 billion.

5. KNIME Analytics Platform

KNIME Analytics Platform’s data science software provides predictive analytics tools to help them analyze their future. KNIME has 168 employees and earns annual revenue of $25.9 million.

6. Dataiku DSS

Dataiku DSS’s data science software provides all-in-one tools that include machine learning tools that help companies analyze predictions. Dataiku has 1,022 employees and earns annual revenue of $204.6 million.

7. Anaconda

Anaconda helps users to analyze their predictive analysis reports with its data science software that is powered by machine learning capabilities. Anaconda has 181 employees and earns annual revenue of $27.2 million.

8. RapidMiner Studio

RapidMiner Studio provides comprehensive data science software that allows users to visualize data effectively. RapidMiner has 108 employees and earns annual revenue of $15.1 million.

9. BigML

BigML’s machine learning software is simple for users to help them analyze their data with its smart capabilities. BigML has 60 employees and earns annual revenue of $8.7 million.

10. Zementis

Zementis allows companies to deploy predictive analytics to their operations with its data mining software. Zementis has 9 employees and earns annual revenue of $1.3 million.

FAQ

What other software does predictive analytics software integrate with?

Predictive analytics software integrates with ERP software, business intelligence software, and digital analytics software.

Is predictive analytics software a standalone product or a feature of another software?

Predictive analytics software is usually a feature of another software, although standalone predictive analytics software does exist as open-source software.

How much does predictive analytics software cost?

Pricing for predictive analytics software can range from free to $14,500 per year or more with some software offering custom pricing which increases its pricing as it offers more features through subscription tiers. Pricing for predictive analytics software varies depending on the features available and the intended users. Small companies may benefit from low-cost predictive analytics software while large companies may benefit from high-cost predictive analytics software.

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