AYATA’s enterprise customers use Prescriptive Analytics software to predict future outcomes of their critical business processes, prescribe decision options, and understand the impact of each decision option. AYATA’s technology is adaptive and thus can continuously facilitate accurate decision-making.
Prescriptive Analytics Software
Natural Language Processing
Contact for Pricing
Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)
AYATA’s enterprise customers use Prescriptive Analytics software to predict future outcomes of their critical business processes, prescribe decision options, and understand the impact of each decision option. AYATA’s technology is adaptive and thus can continuously facilitate accurate decision-making. Prescriptive Analytics is the science of automatically synthesizing big data, mathematical sciences, business rules and machine learning to make smarter decisions about the future. Ayata’s patent-pending technology can not only predict future outcomes, but also prescribe decision options and the impact of each option. Large corporations have a solid understanding of how their critical business processes have historically performed. Ayata software helps companies make smarter decisions about the future. AYATA’s patent-pending technology can not only predict future outcomes of critical business processes, but also prescribe decision options and show the impact of each option. Ayata pioneered the technology behind Prescriptive Analytics with hybrid data through ten years of scientific research and development. Ayata’s software synergistically brings together Models, Data, and Rules – more specifically: mathematical models, hybrid data, and business rules.Ayata Prescriptive Analytics with Hybrid Data software is delivered through a secure Software as a Service (SaaS) model, generally using the customer’s own private cloud infrastructure for additional data security. The SaaS model enables Ayata to ensure that the customers are always using the latest version of the software and deriving the maximum value from it. Ayata software takes into account hybrid data – videos, images, sounds, texts, and numbers – with adaptive algorithms. The software has been architected from the ground up to handle today’s growing data volume, velocity and variety
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More Information on Predictive Analysis Process
For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.