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ORYX SYSTEM CAPABILITIES
Computation Rules and Rulesets
Replicate business logic. Determine multiple data models and configure in ORYX as required
Includes specific financial rules including Journal, Post, Trial Balance and Allocation to name a few
Data Acquisition, Loading and Cleansing
Automatic inputs with data validation, transformation, mapping and tolerance
Collaboration and Project Management
Cross department issue resolution
Provide the ability to plan project-related expenses and revenues, plan and propose new initiatives, and track project results over time
OLAP
Online Analytical Processing Cube giving a multi-dimensional array of data for better analysis and insights. This is used within the ORYX Cube
Views feature
BI and AI/ML Tools Integration
ORYX handles automatic integration of complex data sets
ORYX manages the automatic extraction of finalised data sets (following completion of computations and validations) to various data visualisation
and reporting tools
System Integration and Connectors to other systems
ODBC connection to systems, or easy upload of CSV files
Support for non-financial data
Incorporate items such as HR records
Narration and Commentary
Disclosure Management (putting notes onto accounts or inputs) adding commentary throughout the financial process
Process Automation
Replicate exactly how your business operates, ability to configure bespoke end to end solutions to your requirements
Devices and Platforms
Available on premise, deployed in your own environment on your own servers
If you’re working away from the office, you can simply log into ORYX using the mobile version
ORYX is available on the cloud, providing a secure environment and elastic scalability in an NCC approved environment
Permissions and Security
ORYX follows full security protocols with administrators setting up user access and permissions based on user profile security
Local and Master Data
ORYX has the ability to hold different data sets, ensuring full auditability and traceability
Historic data can be stored easily as drivers or assumptions for forecast modelling
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If you want to achieve more and provide better and more timely information to the business, we can help you.
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