Mastering Complex Data Landscapes With One Source of Truth

Unifying data across three ERP systems to enable accurate reporting, cost efficiency, and business P&L insights.

Background:

A global high-tech enterprise, rapidly expanding through both organic growth and acquisitions, faced growing complexity in its operations. With three different ERP systems in place, the organization struggled with inconsistent data, fragmented workflows, and reporting challenges. These inconsistencies impacted asset management, cost allocation, and overall financial transparency, posing a direct risk to operational efficiency and profitability.

The Challenge:

The organization encountered widespread issues due to data fragmentation across ERP systems:

• 🧩 Inconsistent Procurement & Reconciliation: Disjointed workflows led to delays and errors in financial processing.

• 🔍 Unreliable Reporting: Variations in data quality made it difficult to generate accurate business P&Ls.

• 📉 Inefficient Asset Management: Missing or inconsistent asset records created challenges in tracking and allocation.

• ⚠️ Unstructured Logs & Orders: Activity logs and order files lacked clean, uniform formats and primary keys.

Solution: Establishing a Single Version of Truth with Routine

Routine partnered with the client’s data team to unify and standardize operations through an AI-driven solution:

🧹 Data Cleaning

• Cleansed and harmonized tables across all ERP systems.

• Eliminated invalid records and enforced structural consistency.

📏 Standardization

• Developed and deployed data input policies.

• Unified vendor, order, and asset information using attribute-based rules.

🗃️ Data Mart Implementation

• Built a centralized data mart that integrated clean data from all three ERP platforms.

• Served as the single source of truth for reporting and analytics across the business.

🔄 Cross-Team Adoption

• The solution was embraced by IT, Finance, and Audit teams—ensuring cross-functional alignment and visibility.

Specific Fixes Enabled by Routine

• Orders: Introduced composite keys by analyzing attribute combinations when line items lacked identifiers.

• Vendors: Cleaned PO formats and flattened serial-number records for multi-asset entries.

• Activity Log: Converted unreadable text timestamps into standard datetime fields; filtered noise in activity level fields using keyword logic.

Results:

✅ Accurate Asset Management – Reliable tracking and cost alignment improved operations and budgeting.

📊 Better Business P&Ls – Standardized data enhanced the accuracy of profitability analysis.

🤝 Stronger Collaboration – Shared visibility improved cohesion across IT, Finance, and Audit.

⚙️ Operational Efficiency – Streamlined data flows led to faster decisions and reduced rework.

Conclusion:

Mergers and ERP diversification often lead to data chaos—but with Routine.ai, this high-tech enterprise turned complexity into clarity. Through powerful cleansing, harmonization, and centralized architecture, the client achieved data alignment that supports real-time insight, efficiency, and growth.

📈 Want to unify your enterprise data and drive better decisions?

📅 Schedule a Demo with us and discover your single version of truth.