We design and integrate standard, scalable processes to normalize, link, and master enterprise records.
Setup high-throughput batch and streaming connections to ingest raw, unstructured, and messy customer or transaction records directly into a unified cloud Data Lake.
Normalize record attributes, standardize formats, and resolve global addresses using bespoke and custom parsers (incorporating NLP-based splitting) to significantly improve resolution accuracy.
Link records across disjointed systems to power KYC, AML, MDM, and Fraud detection. We ingest and resolve third-party provider registries (like D&B and S&P) with your internal customer data, enriching golden records with critical external context.
Establish the central golden record registry, define attribute survivorship rules, and set up bi-directional synchronization to distribute master records.
See how our Entity Resolution framework ingests, standardizes, resolves keys, and builds Golden Records in real-time.
Leveraging years of experience serving large financial institutions in Canada, the US, and Europe, we combine a dedicated core product with bespoke consulting solutions.
We have recently launched our dedicated, enterprise-grade Entity Resolution and Master Data Management product. Engineered for high compliance, it can be deployed directly onto your on-premise compute or standard cloud infrastructures (AWS, GCP, Databricks, Snowflake). Your sensitive data stays within your firewall and never leaves your secure premise.
We provide custom, high-security data consulting services to major financial institutions across Canada, the US, and Europe. Our specialists audit legacy pipelines, layout target data lake models, and design systems complying with strict regulatory rules.
From lakehouse setups (Delta Lake, Snowflake) to streaming deployments (Kafka, Flink), we construct custom pipelines and offer ongoing SLAs, data quality monitoring, and troubleshooting support for operational peace of mind.
Explore our enterprise reference architecture and implementation framework. This document reviews cleaning protocols, blocking methods, Jaro-Winkler scoring mechanics, and multi-source survivorship models.
Need tailored data management software or guidance on your pipeline design? Connect with a KMH consultant. We will assess your stack and outline a high-performance resolution strategy.
info@kmhdata.com
Burlington, Canada