It’s not always certain what lies ahead in the future especially for businesses. However, it doesn’t mean they are completely placed in the dark. With predictive analysis software, businesses can better predict their outcome whether they are positive or negative. Here are some of the best predictive analytics software available right now.
19+ Predictive Analysis Software
1. Board
2. Microsoft R Open
3. Microsoft Azure Machine Learning Studio
4. Oracle Crystal Ball
5. IBM SPSS Predictive Analytics Enterprise
6. Minitab
7. Wolfram Mathematica
8. SAS Advanced Analytics
9. Anaconda Enterprise
10. TIBCO Statistica
11. TIBCO Spotfire
12. RapidMiner Studio
13. KNIME Analytics Platform
14. DataRobot
15. Dataiku DSS
16. FICO Predictive Analytics
17. GoodData
18. Buxton Analytics Platform
19. Funnel Science
20. Salford Systems SPM
What Is Predictive Analysis Software?
Predictive analysis software is an artificial intelligence software that analyzes past data activities and uses the data to form a prediction based on the common keywords and themes of the past data. Besides the data, the software uses a variety of predictive analysis tools to form a prediction using algorithms and common data variables.
Benefits
Predictive analysis software can be used by businesses to help better forecast their earnings and profits, which can help them be realistic of their goals as a company. Businesses can use the data from the software to better guide their decisions and strategies to achieve the desired predicted outcome. The software also helps businesses better understand their customers as the solutions provided by the software can help them communicate and market their products and services better to their customers. The software can also be used to mitigate risk crises with its risk management tools.
Features
The most important feature of predictive analytics software is that it analyzes past data activity through its machine learning features to formulate prediction solutions. The software should also provide forecasting software tools that help users, mainly businesses, to predict their earnings and profits. The software should also be able to allow users to edit or suggest the software to make a better prediction in case the results were unsatisfactory or unrealistic. The software should also be able to allow users to re-code the software’s programming language, which is why much software is usually open-source.
- Analyzes past data activity to form solutions
- Forecasting tools
- Suggestions or changes to the software’s prediction method
- Open-source coding tools
Top 10 Predictive Analytics Software
1. TIBCO Spotfire
TIBCO Spotfire’s predictive analytics software provides rich data insights powered by artificial intelligence. TIBCO has 5,129 employees and earns annual revenue of $743.7 million.
2. Microsoft R Open
Microsoft R Open provides companies with its own take of predictive analytics software with complete, open-source tools that allow users to use statistical analysis and data science. Microsoft has 204,819 employees and earns annual revenue of $2147.5 million.
3. Oracle Crystal Ball
Oracle Crystal Ball’s automated risk management software guides companies in managing risk with its predictive analytics tools. Oracle has 196,083 employees and earns annual revenue of $2147.5 billion.
4. IBM SPSS Predictive Analytics Enterprise
IBM SPSS Predictive Analytics Enterprise’s predictive analytics software allows company leaders to make well-informed decisions based on the data provided. IBM has 345,900 employees and earned a revenue of $73 million.
5. GoodData
GoodData’s business intelligence software allows companies to get the most accurate data quickly. GoodData has 327 employees and earns annual revenue of $45.5 million.
6. Minitab
Minitab’s statistical process software allows companies to get accurate statistical results using predictive analytics. Minitab has 303 employees and earns annual revenue of $43.9 million.
7. Anaconda Enterprise
Anaconda Enterprise allows users to securely store their data science results with its end-to-end cyber security tools while providing highly accurate predictive analytics results. Anaconda has 138 employees and earns annual revenue of $20 million.
8. RapidMiner Studio
RapidMiner Studio’s data science software visualizes data with its fully automated tools. RapidMiner has 104 employees and earns a revenue of $19 million.
9. Wolfram Mathematica
Wolfram Mathematica’s highly reliable mathematical software provides users with high-accurate results with its “modern technical computing”. Wolfram has 87 employees and earns annual revenue of $12.6 million.
10. Salford Systems SPM
Salford Systems SPM uses machine learning to provide the most accurate predictive analytics solutions. Salford Systems has 22 employees and earns annual revenue of $3.2 million.
FAQs
What business industries can benefit from predictive analytics software?
Most business industries such as retail, health care, and enterprises can benefit from using predictive analytics software in providing prediction solutions that help optimize their business operations. There is also predictive analytics software that is specifically optimized to one industry.
What other software does predictive analytics software connect to?
While predictive analytics software can be a standalone product, the software also integrates well with business intelligence software and ERP software as predictive data analytics is one of the most common tools found in these series of software.
How much does predictive analytics software cost?
Pricing for predictive analytics software ranges from free to $14,500 per year or more, with custom pricing available for some software. Pricing for predictive analytics software varies depending on the features available and the intended target company. Small companies may benefit more from the free or low-cost predictive analytics software, while large companies may benefit more from high-cost software.
With the right data stored in the software, the predictive analytics software can help businesses have a better idea of their future and prospects that may grow their company further.
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