Data Architecture & Systems Integration
ERP-to-EPM integration, real-time data pipelines, and EPM-ready data architecture that resolve the fragmented data problem at its structural root.
Building the Foundation for Intelligent Decision Making.
The effectiveness of any planning and performance management initiative depends on the quality, accessibility, and reliability of underlying data.
UVID designs modern finance data architectures that connect critical business systems, eliminate data silos, and enable real-time visibility across the enterprise.
Data Lineage Visibility
Every data point traced from source system to board output, eliminating the “where did this number come from?” conversation permanently
90%
Reduction in Manual Reconciliation
We design and implement integration layers that connect your core transactional systems; SAP, Oracle, NetSuite, Salesforce, and others to your EPM environment with the data quality, transformation logic, and governance controls that make the connection trustworthy rather than merely functional. Integration is not an IT project for UVID; it is a finance strategy project that happens to require technical execution.
We design the dimensional models, hierarchies, and master data governance frameworks that allow your EPM platform to perform at its theoretical best. Chart of accounts harmonization, cost center standardization, intercompany elimination maps, and currency translation logic are architected before the first workflow is built because retrofitting data architecture is exponentially more costly than designing it correctly from the outset.
Overnight batch processing is a relic of infrastructure constraints that no longer exist. We design event-driven, near-real-time data pipelines that ensure the EPM environment reflects operational reality continuously enabling intraday financial monitoring, dynamic KPI updating, and planning model recalculation without manual data refresh interventions.
Master Data Governance
ETL/ELT Pipeline Engineering
FAQs
Data Architecture forms the foundation of every modern finance transformation initiative. Without a scalable and governed data framework, organizations struggle with fragmented reporting, inconsistent metrics, and limited visibility into business performance. A well-designed finance data architecture enables seamless integration across ERP, CRM, operational systems, and Enterprise Performance Management (EPM) platforms, creating a trusted source of data for planning, forecasting, consolidation, and strategic decision-making.
Systems integration connects ERP, CRM, HR, operational, and EPM platforms into a unified ecosystem that eliminates data silos and manual data movement. By automating data flows and synchronizing business information across systems, organizations can improve reporting accuracy, accelerate planning cycles, enhance forecast reliability, and provide leadership teams with real-time performance visibility.
Integrating ERP, CRM, and EPM systems creates a connected planning environment where financial and operational data work together. This enables organizations to align sales forecasts with financial plans, improve revenue visibility, automate reporting processes, and strengthen decision-making across the enterprise. The result is faster access to insights, improved business agility, and more accurate performance forecasting.
An EPM ready Data Architecture is specifically designed to support enterprise planning, forecasting, consolidation, reporting, and analytics requirements. It establishes standardized data models, governance frameworks, integration layers, and business hierarchies that ensure consistent information across the organization. This foundation enables faster implementation of Enterprise Performance Management solutions and improves long-term scalability.
Real-time data pipelines continuously synchronize information across enterprise systems, eliminating delays associated with manual uploads and overnight batch processing. By providing immediate access to financial and operational data, organizations can respond faster to changing business conditions, improve forecast accuracy, monitor performance proactively, and make more informed strategic decisions.