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What is Oracle Real-Time Decisions?
Oracle Real-Time Decisions (RTD) merges rule-based methodologies with predictive analytics to deliver adaptive solutions for real-time enterprise decision management. This system allows for the seamless integration of immediate intelligence into business processes or customer interactions as they unfold. A powerful transactional server guarantees that decisions and recommendations are generated instantly. This server autonomously generates decisions within the business workflow, revealing insights and converting real-time data into actionable intelligence. Through closed-loop decision-making, organizations can implement comprehensive business logic with efficiency. Moreover, analytical decisions enable firms to leverage existing analytical resources for both rule-based and predictive selections. In addition, self-adjusting processes empower organizations to develop systems that automatically evolve in response to feedback, ensuring continuous optimization and flexibility. Notably, this blend of technology not only enhances responsiveness but also cultivates a smarter business landscape that is well-equipped to meet changing demands. The ongoing evolution of these systems positions companies for greater success in a fast-paced environment.
What is CORAS Enterprise Decision Management?
CORAS has developed an advanced Enterprise Decision Management Platform tailored for DOD and Federal Agencies, characterized as a comprehensive, scalable Commercial Off-The-Shelf (COTS) application. This platform effectively aggregates and integrates various public and private data sources, presenting them cohesively to enhance decision-making processes.
By leveraging a unique data connection framework along with APIs, CORAS allows for the ingestion and transformation of diverse data through ETL (Extract, Transform, Load) processes, which are then utilized in a suite of decision management tools designed for real-time decision-making.
The CORAS platform is seamless for the Department of Defense, addressing significant challenges related to program and asset management by streamlining the aggregation and analysis of existing data sources, as well as automating reporting functions. The efficiency gains achieved through this platform are substantial, translating into significant man-hour savings. Moreover, it accelerates the decision-making process while providing comprehensive historical documentation to clarify the rationale behind decisions made.
Integrations Supported
Box
Google Drive
IBM WebSphere Application Server
Jira
Microsoft 365
Microsoft Excel
Microsoft Project
Microsoft SharePoint
Oracle Application Testing Suite
SQL Server
Integrations Supported
Box
Google Drive
IBM WebSphere Application Server
Jira
Microsoft 365
Microsoft Excel
Microsoft Project
Microsoft SharePoint
Oracle Application Testing Suite
SQL Server
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Oracle
Company Location
United States
Company Website
www.oracle.com/middleware/technologies/real-time-decisions.html
Company Facts
Organization Name
CORAS
Date Founded
2003
Company Location
United States
Company Website
www.coras.com
Categories and Features
Decision Support
Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Categories and Features
Decision Support
Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control