Real Results, Real Impact

Challenge: Fragmented customer records across dozens of country-specific CRMs with inconsistent data standards

Result: Major reduction in duplicate records and a single, trusted global Customer 360

Challenge: Overlapping records for customers and suppliers, outdated nightly/batch processes, and poor match accuracy. Data governance was slow, error-prone, and unable to support real-time operations.

Result: Legacy batch processes eliminated in favor of automated governance. Real-time, accurate intelligence powering operational processes. A 3-month pilot validated approach and expanded into a broad enterprise rollout.

Challenge: Internal sales tools could not reliably map incoming leads to the correct accounts or to third-party reference data. Matching accuracy was low and internal teams spent large amounts of time on manual maintenance.

Result: Dramatic improvement in lead-to-account matching accuracy. ~80% reduction in manual rework, freeing teams to focus on higher-value tasks. Fully deployed and delivering measurable value in under 60 days.

Challenge: Several data provider integrations managed independently by business units. Each integration had different refresh cycles and taxonomies, creating fragmentation, data silos, and unreliable analytics.

Result: A unified, trusted source of customer and prospect intelligence. Higher match accuracy and stronger cross-team decision-making. Simplified reporting and cleaner downstream data flows.

Challenge: Supplier records were inconsistent and manually reconciled across divisions, slowing procurement, compliance checks and spend analysis. This fragmented supplier data limited visibility and increased risk and cost.

Result: Clear, consistent supplier visibility across the enterprise. Significant reductions in manual processing and operational cost. Accelerated adoption of a single supplier master across business units.

Challenge: Needed a scalable solution to create persistent Entity IDs from complex graph data and to serve mastered entities to their clients in real time. Required high accuracy at scale and the ability to productize data services.

Result: 98%+ match accuracy achieved at massive scale. Enabled a white-labeled fulfillment platform for client delivery. Created a foundation for new high-value data monetization products and revenue streams.

Challenge: Enterprises required verified supplier and vendor data, real-time monitoring of risk signals, and accurate entity mastering during mergers and acquisitions. Manual stewardship and slow reconciliation created delays, compliance gaps, and integration headaches during M&A.

Result: Improved compliance posture and reduced supplier risk exposure. Up to 80% reduction in manual labor for data teams working on compliance and M&A tasks. Stronger fraud, AML, credit and operational intelligence pipelines.