From ERP to AI-ready Financial Insights in Weeks

General Ledger Analytics – Rapidly Deployable Data Product

Still relying on manual extracts, spreadsheets, and dashboards that don’t let you move between the big picture and transaction detail? Our ready-to-deploy General Ledger Analytics solution connects to your ERP, automates data extraction, and delivers intuitive dashboards for profit & loss, balance sheet, and transaction-level analysis – built on a documented semantic model your finance team and your AI tools can both work with. Live in just 6 to 8 weeks.

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Key Features

  • Plug-and-play setup with your ERP general ledger.
  • Business-oriented, context-rich semantic model with documented metadata - ready for AI agents and natural-language queries.
  • Supports both transaction-level analysis and financial statement views.
  • Drill-down by financial dimensions: period, company, cost center, account, ,  other code combination segments.
  • Interactive dashboards (e.g. P&L, balance sheet, period comparisons).
  • Self-service analytics for finance and controlling teams.
  • Scalable platform built on Microsoft Fabric (or alternatives - including Databricks, Google BigQuery, Snowflake and more).

Interactive dashboard example

Data mart “preview”

PROJECT ACTIVITIES

6–8 weeks implementation

Includes support for 2 financial period closes

1

Business workshops

Chart of accounts, dimensions, period close, accruals, intercompany.

2

IT workshop

Technical architecture, setup, and pre-requisites for the project.

3

Automated data extraction from ERP

Connection setup, scheduling, and validation against source.

4

Data exploration

Profiling of your GL data to confirm structure, quality, and dimension coverage.

5

Semantic data modeling and transformation logic

Business-oriented semantic model designed for both BI and AI consumption.

6

Interactive dashboard deployment

P&L, balance sheet, and transaction-level views configured to your chart of accounts.

7

Training for business users, technical handover

Hands-on sessions for finance and controlling teams, plus a working session with IT/data team so they would be ready to operate and extend the solution.

8

Documentation and AI-ready context layer

Business glossary, semantic descriptions, and metadata that finance users and LLM-based tools can both rely on.

DELIVERABLES

Automated data ingestion and transformation

Deployed data model and architecture

Business-oriented semantic model with AI-ready context documentation

Interactive BI dashboards

Training and knowledge transfer

List of next recommended action items

technology stack

Microsoft fabric

A new, revolutionary, lake architecture-powered way to handle enterprise data needs, from A to Z, with state-of-the-art performance, tools and capabilities.

Power BI

Scandic Fusion has implemented Power BI Pro, Premium per user and Embedded for 10+ clients. We are well aware of Power BI's capabilities, limitations, and can advise on the suitable setup for different goals and architectures.

DBT

Scripting-based data transform tool that provides lineage and is made for the Cloud. Vendor-agnostic and works equally well with Google, Microsoft or any other major platform.

Alternative data platforms

Databricks, Snowflake, Google BigQuery, Azure Synapse, Azure SQL, Oracle

Alternative BI tools

Tableau, Qlik, Oracle Analytics Server (OAS)

Alternative bundled technology stack

Oracle autonomous data warehouse cloud + Oracle Analytics Cloud (OAC), SAP Business Data Cloud (BDC) + SAP Analytics Cloud (SAC)

Supported ERP Systems

Oracle ERP Cloud, Oracle EBS, SAP S/4HANA, SAP ECC R/3, Microsoft Dynamics (AX, D365 Finance & Operations), Business Central, Navision, and local ERPs in Latvia, Norway, Finland — or any ERP with general ledger access.

Deployment Assumptions

  • Single ERP source system with unified GL
  • Automatic full data extraction is supported by the ERP
  • Customer provides (or procures) the required cloud capacity and BI licenses
  • Scope covers GL transactions, balances, and financial dimensions
  • Chart of accounts supports P&L and balance sheet presentation via account hierarchy

Optional Add-Ons

  • Support for multiple ERPs or GLs
  • AI/LLM-ready API layer (REST and MCP) - exposes the semantic model so any authorized LLM, Copilot, or agent framework can connect and query your GL data
  • Forecasted and budgeted figures for benchmarking
  • Additional ERP modules, e.g. purchasing, payables, inventory, manufacturing, projects, receivables, fixed assets, and more
  • Modular and extendible to include other systems e.g. CRM, EPM, and more
  • Incremental data loads
  • Row-level security and access control
  • Advanced calculations or derived metrics
  • Financial statement configurator
  • Master data management layer
  • Custom financial hierarchies and master data mapping
  • Intercompany reconciliation and elimination logic
  • Direct or indirect cash flow statement

PROVEN EXPERIENCE

clients

Deployed at 20+ enterprise clients across the Nordics and Baltics.

[               Scandic Fusion has been very collaborative in their approach to our partnership, that has helped us deliver our new Data warehouse and ERP reporting dashboards. They have been instrumental in establishing the foundations of a modern analytics platform that we will continue to scale with new use cases. Their proactive engagement style has helped us define new processes and incorporating insights into our workflows, which will continue to drive better business decisions and outcomes.  ]

Yngve Jacobsen

Manager - Business Control at BW LPG

GET IN TOUCH

What's next?

Contact us to schedule a discovery call and explore how your financial data can start working for you, not the other way around.

Kārlis Vītols

CEO, Data Analytics Architect

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