Financial Clarity for Complex Organizations
When financial data is spread across multiple ERPs, spreadsheets and regional systems, leadership loses visibility into what actually drives performance.
We design centralized financial data architectures that turn fragmented operational data into reliable decision intelligence.
From automated consolidation to transaction-level profitability analysis, the goal is simple: give leadership a clear and trusted view of the business.
THE CHALLENGE
When Financial Reporting Stops Scaling
Most growing organizations reach a point where financial reporting stops scaling with operational complexity.
Different regions operate on different systems. Finance teams maintain dozens of spreadsheets. Reconciliations become manual and slow.
Common symptoms
- Financial close takes 7-10+ days
- Numbers differ between departments
- Profitability cannot be traced to transactions
- Forecasting relies on manual spreadsheets
- Leadership dashboards raise more questions than they answer
These are rarely reporting problems. They are data architecture problems.
THE INSIGHT
Why Most Data Projects Fail in Finance
Many organizations try to solve reporting problems by adding dashboards.
But dashboards sit on top of fragmented financial data structures. When KPI definitions differ across departments and systems remain disconnected, every new report creates another version of the truth.
Real transformation requires redesigning the financial data architecture itself: how systems integrate, how entities relate, and how performance metrics are defined.
THE OUTCOME
What a Governed Financial Data Architecture Enables
Daily Financial Visibility
Financial performance updated automatically instead of weeks after month-end close.
Transaction-Level Profitability
Drill-down from executive P&L to individual transactions, deals or invoices.
Unified KPI Logic
One consistent definition of revenue, margin and cost across all entities and regions.
Faster Decision Cycles
Leadership sees issues early and can react before problems escalate.
CASE STUDY
Global Energy Trading Company
The Situation
A multinational energy trading group operating across APAC, EMEA and North America faced severe reporting fragmentation.
- 25 legal entities
- Multiple ERP systems
- Separate CRM and trading platforms
- Dozens of Excel-based reporting files
- 10-day reporting delay after month-end close
Leadership lacked transaction-level visibility into profitability.
The Transformation
A centralized financial data architecture was designed and implemented, integrating ERP, CRM, ETRM and accounting systems into a governed Snowflake-based platform.
The project included:
- Reverse engineering undocumented system logic
- Designing a unified financial data model
- Building automated ELT pipelines
- Standardizing profitability reporting across regions
The Impact
- Reporting cycle reduced from 10 days post-close to daily refresh
- P&L statements drillable to transaction level
- Clear profitability visibility across entities and business lines
THE APPROACH
Our Approach to Financial Data Transformation
Architecture Assessment
Mapping systems, entities and reporting logic to identify structural bottlenecks.
Financial Data Model
Designing a unified data architecture that standardizes KPI definitions and entity structures.
Integration & Automation
Building scalable data pipelines connecting ERP, CRM, ETRM and accounting systems.
Executive Intelligence Layer
Delivering reporting environments that allow leadership to move from high-level financials to transaction-level detail instantly.
ABOUT
About Vladislav Secrieru
Senior Finance & Data Transformation Specialist based in Oslo.
Specializing in building financial data architectures for multinational and multi-entity operations.
Background includes consulting and financial analytics roles across finance, data and performance governance.
- Former consultant at KPMG
- Former consultant at EY
- Experience integrating 25+ legal entities into unified data platforms
- Expertise in Snowflake, SQL, Python and modern BI environments
IDEAL CLIENT
Who This Work Is Most Valuable For
This work is typically relevant for organizations with complex operational structures.
- Multiple legal entities
- Operations across several regions
- Several ERP or operational systems
- Heavy reliance on Excel reporting
- Finance teams spending weeks preparing reports
Typically mid-market and enterprise companies with significant operational complexity.
GET STARTED
Regain Control of Your Financial Data
If your organization struggles with fragmented systems, slow reporting or inconsistent numbers, there is usually a structural reason behind it.
Fixing it requires more than dashboards. It requires the right financial data architecture.
CONTACT