Most migrations fail not because of technology, but because of dirty data. Duplicate records, mismatched fields, and ungoverned legacy data quietly derail timelines, inflate costs, and cripple adoption.
Polus™ MIG eliminates risks with governed automation that unifies, standardizes, validates, and enables records for enrichment before they ever move. The result is faster go-lives, lower remediation costs, and a single, trusted source of truth powering your next-generation platform.
Clean data isn’t optional when you’re migrating core systems. Yet most companies import legacy chaos into modern platforms, multiplying risk, delay, and technical debt.
Polus MIG enforces data integrity from the start, unifying every source, standardizing every field, and validating every record, so your migration becomes the clean break you’re paying for.
Dirty legacy data migrates trouble into your new system
When you migrate from an old system without properly cleaning and standardizing the data first, you’re essentially moving all the bad history into the new environment: duplicates, inconsistent naming, format mismatches, irrelevant stale records.
Datagence applies a rigorous pre-migration data profiling and cleansing process: we audit the source data, standardise formats, deduplicate, retire obsolete records, then migrate only clean, trusted data, so your new system starts clean and stays reliable.
Mis-mapped fields and flawed data translate into operational and analytics failures.
Dirty data contributes to schema drift– missing foreign keys, corrupted relationships, truncated or mismapped fields during migration, which leads to lost records, broken analytics, and compliance exposure.
Datagence uses end-to-end migration validation: we map data lineage, ensure referential integrity, automate checks for schema drift, run reconciliation between source and target, so your migration retains structure, relations, and usability.
Unreliable data erodes productivity, decision-making and trust.
Dirty data breeds inefficiency: staff spend time chasing, correcting or validating bad records; analytics become suspect; decision-making slows; operational processes break down. In recent estimates, Gartner cites the average annual cost of dirty data as $15M.
Datagence helps turn your data into a trusted asset: by migrating clean, consistent data and establishing monitoring and governance, you reduce rework, empower analytics, accelerate workflows — so operations and reporting become reliable.
Dirty data is more than just messy, it is a risk.
Poorly cleaned or unmanaged data during migration can lead to security vulnerabilities and compliance failures caused by outdated or incorrect personal records, misclassified data, or inadequate protection.
Datagence builds in data governance, classification, secure migration pipelines, and audit trails to ensure that what you migrate meets target-system standards and regulatory obligations, reducing risk from dirty data exposure.
Dirty data delays go-live and escalates cost.
When you attempt to migrate without cleaning your data, you face massive remediation mid-job: repeated fixes, errors, manual interventions, and extended timelines. The rule of thumb: the later you fix data, the costlier it is.
Datagence’s approach emphasises “clean before move” and incremental migration with validation cycles to reduce surprises, delays and/or cost overruns, enabling on-time and on-budget migrations.
Get clean, connected data that drives better decisions. Contact us to get started.
