AI & Analytics · BI · Oracle Analytics Cloud · Dashboards · Self-service
Your Executives Deserve Answers,
Not More Spreadsheets to Interpret.
Enterprise reporting has a fundamental problem: the people who most need information are furthest from the tools that produce it. Finance produces the report. Operations gets it five days later. Executives read a summary two weeks after the data was current. Symhas builds Oracle Analytics Cloud and modern BI environments that make data self-serve, reporting automatic, and executive intelligence continuous — embedded in the Oracle Fusion data your business already runs on.
↓81% Financial Services
Reduction in management reporting time — $25B AUM firm, Oracle Analytics Cloud deployment
8d→1.5d Financial Services
Financial close and reporting cycle reduction after Oracle Analytics and EPM integration
35% Healthcare
Improvement in operational reporting speed after consolidation from 14 systems to one Oracle platform
12wk All Sectors
From requirements to production BI environment — self-serve, governed, and live on Oracle data
Part of the Symhas AI & Analytics practice
↓81% Maximum reduction in management reporting time achieved in a single Symhas BI engagement
12wk Requirements to production BI environment — Oracle Analytics Cloud, fully integrated
100% Of BI deployments include self-serve capability — not just static dashboards for analysts
0 BI environments handed over that require Symhas to run — all teams are certified and independent
What We Deliver
Core Capabilities.
All Production-Ready.
Oracle Analytics Cloud Implementation OAC · Dashboards · AI augmentation · Self-serve
Full Oracle Analytics Cloud implementation — connecting to Oracle Fusion Finance, HCM, SCM, and EPM data to produce real-time dashboards, AI-augmented analysis, and self-service reporting for business users.
Oracle Analytics Cloud architecture, deployment, and configuration
Semantic model (RPD / logical layer) design and development
Pre-built Oracle Fusion Analytics accelerators and customisation
AI augmentation — explain, predict, and auto-insights features activated
Mobile-optimised dashboards for executive and operational users
→ Oracle ERP data in the hands of business users — not locked behind IT data extract requests
Executive & Board Reporting Automation C-suite · Board · Automated · Narrative AI
Automated executive reporting — boards and C-suite receiving accurate, current intelligence without a finance team spending a week assembling it. AI-generated narrative commentary contextualises the numbers.
Automated board pack generation from live Oracle Fusion and Analytics data
AI-generated narrative commentary on variance, trend, and risk
Scheduled distribution — board pack delivered at 08:00 on reporting day
Scenario comparison — actuals vs budget vs forecast in one view
Drill-through from board summary to transactional detail in Oracle Fusion
→ Board meetings start with questions about the numbers — not arguments about which version is correct
Self-Service BI & Business User Enablement Self-serve · Training · Governed · Data literacy
A self-service analytics environment that business users actually use — because it is fast, governed, and answers their questions in the language of their business, not the language of IT.
Business user-friendly semantic layer — KPIs, not column names
Governed self-serve — users can explore freely within data access controls
Oracle Analytics subject areas designed by business domain, not source system
Embedded training and certification for business users — 2-hour programme
Data literacy programme — 30 users from passive consumers to active analysts
→ IT data request backlog eliminated. Business users answer their own questions.
Operational & Real-Time Reporting Real-time · Operational · KPI · Alerting
Operational dashboards and KPI monitoring that refresh continuously — giving supply chain, operations, HR, and finance teams live visibility into what is happening right now, not what happened last night.
Real-time operational dashboards on Oracle SCM, HCM, and Finance data
KPI threshold alerting — email, Slack, or Oracle BI publisher notifications
Exception-based reporting — managers see only what needs attention
Operational metrics embedded in Oracle Fusion task flows and homepages
Cross-functional dashboards — P&L, headcount, and supply chain in one view
→ Operational decisions made on real-time data — not yesterday's batch report
How We Work
From Assessment to
Production in 12 Weeks.

Every engagement follows a structured four-phase delivery model with defined go/no-go gates at each milestone. Fixed price. Fixed timeline.

01
Requirements & Data Assessment Weeks 1–2

Structured requirements sessions with business stakeholders per function. Data availability assessment in Oracle Fusion. KPI definition and priority ranking. Dashboard wireframes approved at Week 2 go/no-go gate.

02
Semantic Model & Dashboard Build Weeks 3–8

Oracle Analytics semantic model built and governed. Dashboards developed per function — Finance, HR, Supply Chain, Operations. AI augmentation features configured. Business stakeholder review at Week 6.

03
User Acceptance & Self-Serve Configuration Weeks 9–10

Business user UAT with structured test scripts. Self-serve training programme delivered. Data access controls configured per role and organisation. Executive reporting automation activated.

04
Go-Live & Team Certification Weeks 11–12

Production go-live with all business user groups. Analytics team certified on semantic model management and dashboard development. Symhas moves to quarterly advisory. Platform SLAs active.

Financial Services · Oracle Analytics Cloud $25B AUM Asset Manager.
From 8-Day Reporting Cycle to Automated Daily Intelligence.

A global asset management firm was spending 8 days each month on management reporting — pulling data from 47 systems, reconciling it manually, and assembling board packs in Excel. By the time the board received the pack, it was already stale.

Symhas implemented Oracle Analytics Cloud connected to their unified data platform — delivering automated daily P&L, fund performance, and risk reporting to the investment committee, with a board pack generated automatically on reporting day.

↓81% Reporting preparation time
8d→1.5d Financial close cycle
Daily Automated P&L refresh
12wk Requirements to production
Discuss Your Programme
What was delivered

Oracle Analytics Cloud — Financial Services BI Production Deployment

Oracle Analytics Cloud semantic model across Fund, Counterparty, Instrument, and GL hierarchies
Daily automated P&L and NAV dashboard — refreshed from Oracle Fusion Finance data at midnight
Board pack automation — investment committee report generated and distributed at 07:00 on reporting day
AI-generated variance commentary — material movement narratives written automatically
Regulatory reporting dashboards — FCA and SEC reporting views with drill-through to Oracle transactions
Self-serve analytics for portfolio managers — exploration within governed access controls

"The board now asks questions the data already answers. That shift — from distributing a report to having a conversation — changed the quality of our investment committee meetings."

— CEO, Global Asset Management Firm
Technology Stack
Platform-Agnostic.
Best Tool for the Job.

We are not tied to any vendor. We select and implement the right technology for your environment, your data, and your team.

Oracle Oracle Analytics Cloud Semantic model, dashboards, AI augmentation
Oracle Oracle Fusion Analytics Pre-built ERP analytics accelerators
Oracle Oracle BI Publisher Pixel-perfect and scheduled reporting
Oracle Oracle PBCS / FCCS Financial consolidation and planning reporting
BI Platform Microsoft Power BI Microsoft ecosystem BI and Azure integration
BI Platform Looker / Tableau Modern BI for non-Oracle cloud environments
Data Layer dbt + Snowflake / BigQuery Governed semantic layer for modern BI tools
Distribution Slack / Teams / Email Automated report distribution and alerting
Why Symhas
AI Expertise Built from
Production Deployments.
Oracle-Native, Not Oracle-Adjacent We implement Oracle Analytics Cloud from inside Oracle Fusion — understanding the data model, the security architecture, and the subject areas that come pre-built. Implementation is weeks, not months, because we know where the data lives.
Self-Serve That Sticks Self-serve analytics fails when the semantic layer uses IT language instead of business language. Symhas builds the semantic model in the language of each business function — Finance KPIs, not GL account codes. HR headcount metrics, not PERSON_ID joins.
Automated Executive Reporting Board packs assembled manually every month is a solved problem. Symhas automates the assembly and distribution — narrative commentary generated by AI, data validated against Oracle Fusion, pack delivered before anyone arrives at the office.
AI Augmentation Activated Oracle Analytics Cloud includes AI features — explain, predict, cluster, and auto-insights — that most implementations never activate. Symhas configures and trains business users on Oracle's AI augmentation features as part of every deployment.
Governed but Not Gated BI governance that restricts access just creates a data request backlog. Symhas designs access controls that let business users explore freely within appropriate boundaries — governed by role and organisation, not gated by IT approval.
Your Analysts Own It By Week 12, your analytics team can build and modify dashboards, extend the semantic model, and onboard new user groups. Symhas certifies and steps back. No dependency on us to keep the lights on.
Next Step
Tell Us What Your Business Needs to See.
We'll Show You How to Make It Automatic.
A 30-minute Oracle Analytics assessment with a Symhas BI consultant. We will review your current reporting landscape, identify the highest-value dashboards and automation opportunities, and tell you exactly what a Symhas engagement would deliver in 12 weeks. No pitch deck. No sales process. An honest conversation about your data and AI programme.