A data warehouse is a centralized storage system for diverse organizational data, while analytics involves extracting insights from that data. Together, they enable businesses to make informed decisions by providing a unified and optimized platform for comprehensive data analysis. This integration enhances reporting, supports strategic planning, and empowers organizations to leverage data strategically for increased efficiency and competitiveness.

Predictive analytics and Machine learning are an integral part of Enterprise Intelligent automation. Predictive Analytic models are used to orchestrate and transform the data towards business insight and decision point.

Predictive analytic platform receives data from various sources like business applications, data warehouses, big data management platforms like Hadoop, etc. Machine Learning tools work between the analytic model and the blended source data inputs to automatically adopt changes/additions in parameters, values, attributes, etc. to achieve system self-learning and AI capability.

OMFYS provides implementation and support services for Predictive analytic modelling using ‘R’ and Python technologies. Also, we provide services and support for implementing and managing server infrastructure environments for predictive analytic platforms, on-premise, cloud, or Hybrid. We offer specialized services that leverage Oracle tools.

Common Use Cases

• Employee Life Cycle and Retention Analysis.
• Fraud analysis.
• Reduce inventory carry costs.
• Market basket analysis.
• Risk analysis.
• Many more