OAC Insight
Modernize your decision-making environment with Oracle Analytics Cloud: a governed semantic model, self-service dashboards, and built-in augmented analytics capabilities.
weeks until production
functional area covered
dashboards
data flow
Your Situation Today
More reports don’t always mean more visibility
When BI tools become outdated and reports pile up, teams spend more time generating, reconciling, and explaining the numbers than analyzing them.
Business units need reliable, consolidated, and immediately actionable information. However, reporting still often relies on legacy tools, manual data extracts, or Excel files that are difficult to maintain.
Do any of these situations sound familiar to you?
- 01. Your BI tool is reaching the end of support or the end of its lifecycle, and licensing and on-premises infrastructure costs are rising.
- 02. Business unit management still relies on Excel: HR and Finance departments lack a consolidated, interactive view of their performance.
- 03. Your report catalog has become difficult to manage: over the years, reports have piled up. Some are duplicates or rarely—if ever—used, while the figures may vary from one report to another.
- 04. Every new requirement depends on IT: creating or modifying a report requires technical support. The turnaround times are not always compatible with the schedule for financial closings and business management.
- 05. The user experience no longer meets current needs: users have limited access to self-service features, mobility, and advanced analytics.
- 06. It remains difficult to reconcile data: cross-referencing multiple data sources is complex, which limits the ability to produce cross-sectional analyses and consolidated reports.
If you find yourself in any of these situations, Oracle Analytics Cloud can serve as a new foundation for streamlining your BI and advancing business management.
Context
Two starting points, one shared goal
Modernizing a Legacy BI System
You are currently operating an environment such as:
- IBM Cognos;
- SAP BusinessObjects;
- OBIEE or Oracle Analytics Server;
- Discoverer;
- MicroStrategy.
This environment must be replaced without any disruption to service. The migration also provides an opportunity to analyze usage patterns, streamline the catalog, and retain only the reports that are truly useful.
Building a More Interactive Business Management System
Your business unit is looking to upgrade a reporting system that is currently generated in Excel.
The goal is to have interactive dashboards that allow users to consolidate data, explore metrics, and access the information needed for decision-making more quickly.
In both situations, the data may come from:
- Oracle Fusion Cloud ERP;
- Oracle Fusion Cloud EPM;
- Oracle Fusion Cloud HCM; PeopleSoft'
; - Oracle E-Business Suite;
- an Oracle data warehouse;
from third-party sources.
The support is designed to meet the needs of a broad range of business users.
The Scope
A governed analytical foundation, designed in collaboration with business units
The scope encompasses functional framing, architecture, modeling, dashboard design, security, and adoption support.
Scope and Streamlining
Business workshops and, in the event of migration, identification of the reports to be migrated, rewritten, or decommissioned.
Architecture and Governance
Reports and Security
Deployment and Adoption
Revenue, financial reconciliation, training, go-live, hypercare, and adoption monitoring.
Deliverable Submitted
- Scoping Document: For a Migration, Assessment Report, and Catalog Streamlining Plan
- Target Architecture Specification
- A versioned and documented semantic model
- Financial ledgers, reports, and dashboards (summary and detailed) in production
- Security Matrix (Roles, Data Scopes)
- Recipe Log and Minutes, Including a Reconciliation of Figures
- Training Materials and User Guide
- Adoption Dashboard (Usage Tracking)
- Operations Documentation and Transfer of Responsibilities to the Support Team
Supplements
- OAC Competency Center for Run/TMA: Management of OAC updates (impact analysis and non-regression testing for each release), Level 2 support, enhancements
- Fusion AI Data Platform (formerly Fusion Data Intelligence) for Oracle Fusion Cloud Applications customers
- Datamart or data warehouse on the Autonomous AI Database for large data volumes and complex cross-referencing
- AI Use Cases: Natural Language Processing, Prediction, Anomaly Detection
These needs may be addressed through a scoping process or an additional service.
A well-managed schedule
From concept development to production in 11 weeks
The projected duration is 11 weeks, excluding hypercare, subject to access to sources and the availability of key contacts during the scoping phase.
- Kickoff Meeting
- Workshops with Various Professions
- Definition of Expected Analyses
- Definition of the Target Technical Architecture
- Identification and Scope Definition of Workflows
- Provisioning Environments
- Populating the necessary databases
- Implementation of SSO
- Development of Data Flows
- Building the Semantic Model
- Dashboard Design
- Creating or Migrating Reports and Workbooks
- End-to-End Testing
- Assisted billing
- Reconciliation of figures
- Corrections
- Deployment
- Enabling Usage Tracking
- Enabling Monitoring
- User training
- Tracking Initial Usage
- Minor adjustments
- User Support
- Preparing for the Transition to TMA
AI in OAC
AI speeds up design and enhances analysis
Artificial intelligence plays a role on two levels: it can support SQORUS teams during the delivery process and enhance the analytical capabilities available to users.
In the SQORUS delivery
Teams can use AI assistants to support the design, modeling, and development of the analytical system.
In particular, AI can help:
- Organize the initial modeling proposals;
- Assist in the design of analyses;
- Facilitate the generation of certain code elements;
- Speed up code review;
- Verify the consistency of the deliverables produced during the delivery process.
These practices support productivity and the quality of work. They remain an integral part of the project methodology and the oversight provided by SQORUS consultants.
Dans la solution
Oracle Analytics Cloud offers several augmented analytics capabilities.
- AI Assistant and BI Ask: Users can query Oracle Analytics Cloud using natural language to access data and analytics more easily.
- Explain and Auto Insights: These features help identify key metrics and elements in the data.
- OneClickML and DataFlow: These capabilities can be used to configure predictive and classification models.
- Select AI: As an optional feature, Select AI on Autonomous Database allows users to query data using natural language.
OCI Services and Oracle Products Deployed
An Oracle ecosystem tailored to your data and your needs
Oracle Analytics Cloud serves as the analytical foundation of the offering. Other Oracle services are selected based on your data sources, target architecture, data volumes, and cross-referencing requirements.
