How can Oracle data be made actionable?

Executive briefing for CFOs, CIOs and strategy managers

In many organisations, Oracle systems play a central role in the collection, processing and evaluation of financial, investment and project information. Solutions such as Oracle Fusion Cloud ERP, Oracle EPM, Oracle NetSuite, Oracle Primavera and Oracle Analytics support planning, forecasting, simulation and reporting in a structured form.

Transactions, budgets, liquidity trends, project structures, resources and dependencies are systematically documented. This provides a consistent and integrated database.

In the context of portfolio decisions involving several projects to be considered simultaneously, this database can be transferred to a formal decision-making model.

1. Functional classification of Oracle systems

Oracle systems typically perform tasks in the following areas :

• Transaction recording
• Budgeting
• Cost and profit accounting
• Forecasting and liquidity planning
• Project and resource structuring
• Reporting and analysis

Depending on the modules used and individual configuration, planning and simulation functions with different characteristics can be implemented.

These systems provide a structured basis for strategic and operational decisions.

2. Expansion to include formal decision models

Additional mathematical models can be defined for portfolio decisions involving multiple projects. Among other things, the following elements are taken into account :

• Revenue and expenditure

Modelling is based on existing data and supplements the existing information structure with a formally describable decision logic.

3. The combinatorial decision space

If several projects are considered simultaneously, a combinatorial decision space results.

For example, at :

10 projects → 1,024 possible combinations
20 projects → over 1 million combinations
50 projects → 2^50 ≈ 1,125 quadrillion possible combinations

The number is derived from the mathematical structure of possible project combinations under defined constraints.

4. Structuring relevant data

The following data points, among others, can be used for transfer to a decision model :

• Investment costs (CapEx)
• Ongoing operating costs (OpEx)
• Payment profiles
• Multi-period cash flows
• Financial evaluation metrics (e.g. IRR, NPV)
• Resource allocations
• Logical project dependencies

Consolidating this information creates a consistent portfolio data set that can be described mathematically.

5. Definition of target values

A decision model is based on a defined target value. Possible objectives may include :

• Maximisation of financial key figures
• Stabilisation of liquidity
• Limitation of risk
• Fulfilment of strategic criteria
• Multidimensional target combinations

The definition of the target determines the structure and logic of the model.

6. Mapping of constraints

Typical constraints may include :

• Annual budgets
• Multi-year caps
• Resource ceilings
• Strategic minimum requirements
• Regulatory requirements

Formal mapping of these conditions clearly defines the permissible decision space.

7. Architectural considerations

Functionally, different levels can be distinguished :

• Operational data collection and planning
• Formal decision modelling

These levels can be integrated or modular, depending on the system architecture and organisational design.

The description is functional and does not represent a performance or system comparison.

8. Transparency and documentation

A formally defined decision model enables :

• Traceability of restrictions
• Documentation of alternative scenarios
• Comparison of permissible portfolios
• Quantification of different result variables

This can support transparency and governance requirements.

Executive Summary

Oracle systems provide structured, consistent and integrated planning and financial data.

For portfolio decisions involving multiple projects, this database can be supplemented by formal decision models that mathematically map target values and constraints.

The combination of operational data structure and formal modelling enables a systematic analysis of possible project combinations under defined restrictions.

Legal notice :

Oracle, Oracle Fusion Cloud, Oracle ERP, Oracle E-Business Suite and other product names mentioned are trademarks or registered trademarks of Oracle Corporation or its affiliates. They are mentioned solely for descriptive purposes in the context of technical and architectural classification.

The functional distinctions shown describe general system roles (e.g. system of record, planning layer, system of decision) and do not constitute a comparison of performance, function or quality in the sense of comparative advertising.

The specific functional scope of Oracle systems depends on the modules used , individual configurations, customer-specific enhancements and third-party solutions, and may vary in individual cases.

No claim is made that existing ERP, planning or analytics systems are incomplete or inferior. The optimisation approaches described represent a supplementary methodological consideration.