Oracle License Discovery and SAM Proof of Value for a UAE Government Organization

Overview

A UAE-based government organization needed a dependable way to understand its Oracle database footprint and build the evidence required for stronger software license governance. Infrastructure information, Oracle configuration details, feature-usage evidence, and entitlement records existed in different places, making it difficult to establish a repeatable view of deployed Oracle technology and prepare confidently for reconciliation or audit activity.

Quantive Technologies delivered a focused proof of value using ServiceNow Discovery and ServiceNow Software Asset Management. The engagement proved that the organization could discover a representative Oracle environment, populate trusted configuration data in the CMDB, collect licensing-relevant technical evidence, and define a controlled path from inventory to Oracle license reconciliation.

Key Results

• Successfully identified an Oracle Database 19c Enterprise Edition instance running in the representative Unix environment.
• Updated or inserted 10 configuration items in the CMDB, establishing a usable foundation for Oracle infrastructure visibility and relationship mapping.
• Captured essential database attributes including edition, version, Oracle Home, listener port, instance details, and supporting configuration evidence.
• Collected Oracle option and feature-usage evidence, including SQL tuning and plan-management indicators, for informed SAM and licensing review.
• Validated the visibility of relevant Oracle entitlement records and documented the reconciliation steps required to calculate an evidence-based compliance position.
• Separated confirmed core discovery results from GLAS post-processing requirements, giving the customer a clear remediation and production-readiness path.

Business Challenge

Oracle licensing depends on more than a list of installed products. Effective governance requires reliable infrastructure inventory, database edition and version details, deployment relationships, enabled options, feature-usage evidence, virtualization context, contract terms, and entitlement data. Without a consistent process to bring those elements together, the organization faced several challenges:

• Limited confidence in the completeness and currency of the Oracle database inventory.
• Manual effort to collect technical evidence from database and infrastructure teams.
• Difficulty connecting discovered deployments to owned license rights.
• Insufficient distinction between feature-usage evidence and a final license-compliance conclusion.
• Higher preparation effort for internal governance reviews, renewals, and potential vendor audits.

The proof of value therefore needed to demonstrate both technical discovery and the governance controls required to turn discovery data into a defensible Software Asset Management process.

Proof of Value Approach

1. Discovery and platform readiness

Quantive Technologies reviewed the ServiceNow Discovery components, Oracle discovery patterns, MID Server readiness, Software Asset Management Professional for Oracle capabilities, and the credentials required for the representative environment. The team confirmed the available Oracle DB on Unix pattern and validated the controlled access needed to read Oracle configuration files and execute approved database queries.

2. Pattern-based Oracle discovery

The Oracle DB on Unix pattern was used to identify the running database and collect key technical attributes. The proof of value confirmed the Oracle 19c Enterprise Edition deployment and populated CMDB records for the database and its supporting configuration. Ten configuration items were updated or inserted, showing that the platform could convert discovery evidence into structured operational data rather than another point-in-time inventory file.

3. Oracle option and feature-usage evidence

The engagement also validated the collection of Oracle option and feature-usage indicators. Evidence related to SQL Tuning Advisor, SQL Plan Management, automated tuning activity, and management-pack configuration was made available for review. Quantive Technologies applied an important governance principle: a discovered feature or database parameter is evidence for analysis, but it is not by itself a final determination of Oracle license liability.

4. Entitlement and reconciliation readiness

The team reviewed the available Oracle entitlement records and distinguished owned rights from discovered deployment and usage. This established the next required control: complete SAM reconciliation and review the resulting license metric, product, and reconciliation records before reporting used, available, or compliant positions. That separation protected the customer from treating inventory data or purchased rights as a compliance conclusion.

5. Production hardening path

Quantive Technologies reviewed discovery logs, large-object handling, credential behavior, and Oracle GLAS collection requirements. Core Oracle discovery was confirmed independently from post-processing activity, allowing the customer to preserve trusted inventory results while addressing GLAS path, access, and file-collection requirements before expanding to production coverage.

Customer Outcomes

• Trusted Oracle inventory foundation: A repeatable discovery approach replaced dependence on manually assembled infrastructure lists.
• Richer CMDB context: Oracle database attributes and supporting configuration items became available for operations, governance, and asset analysis.
• Stronger license evidence: Technical indicators required for Oracle SAM review were collected in a controlled, traceable manner.
• Clear compliance boundary: Stakeholders gained a shared understanding of the difference between discovered usage, entitlement ownership, and reconciled compliance.
• Improved audit readiness: The proof of value established a structured evidence path that can reduce manual preparation for internal reviews, renewals, and vendor audits.
• Scalable governance roadmap: The organization received a practical plan to extend discovery, complete GLAS readiness, schedule reconciliation, and establish continuous Oracle license governance.

Recommended Next Phase

1. Expand Oracle Discovery across approved production network ranges and database environments.
2. Complete GLAS path, credential, and output validation for licensing-specific data collection.
3. Review discovered Oracle options and feature usage with database, procurement, legal, and SAM stakeholders.
4. Normalize entitlement and contract data, then run SAM reconciliation to calculate license positions.
5. Establish dashboards, exception workflows, scheduled discovery, and recurring governance reviews.