What is Predictor?
Simplify IT Infrastructure Capacity Management Processes
Predictor is an IT Infrastructure Capacity Management automation platform based on a set of technologies, including Analytics and Machine Learning, that enables you to expand the operational intelligence of the area by transforming and streamlining processes for increasingly assertive decision making.
Plan the capacity of your operation
The intelligence system of Yaman Predictor has the potential of eliminating repetitive processes, understanding the behavior of your environment and promote strategic management of resources, with incredible 99.9% of prediction accuracy.
- Support digital business initiatives
- Intelligent and predictive infrastructure management
- Cost reduction with unused licenses, storages, unused cloud
- Predictive ops management
- Easy planing with settings items
- Simulate scenarios and get to know the impact on your business
- Take precautionary action against incidents
- Reduce risk and hold those responsible accountable
- Reduce costs and waste
- Agentless and easy integration
Streamline processes for increasingly assertive decision making
Transform and simplify your company's IT Infrastructure Capacity Management processes with Analytics and Machine Learning
Receive notifications on behavioral deviance, anomalies, etc.
View the status of your applications based on criticality and waste
Build your capacity plan based on a project (eg business date)
Non-intrusive, consuming only the provided information
Integration with each customer's business model, metrics, systems and infrastructure
Historical basis intake to guarantee accuracy starting at the first projection
Data transport structure for each type of technology
Data transfer and ingestion according to the customer's available granularity and frequency
Cleaning / Cleansing
Data cleaning and handling in the load automation flow
With behavioral deviations
Of underused components
Of IT infrastructure capacity for the short and long term
Of high complexity environments