Application data migration. Fix the data before you trust the system
Migrating to a new application or cloud platform does not fix poor data. It exposes it.
Part 5 of the infoboss Unlocked series focuses on application data quality assessment and migration. Whether moving to a new CRM, ERP, or core business system, organisations frequently underestimate the condition of their existing data.
The underlying problem
Before migration, many organisations lack visibility into the accuracy, completeness, and consistency of application data. Duplicate records, missing values, and conflicting definitions are common.
Research shows that up to 60 percent of migration failures or overruns are caused by data quality issues discovered too late. Post-migration remediation is costly and disruptive, often eroding confidence in the new system from day one.
The business impact
- Higher migration and storage costs caused by moving poor-quality data.
- Reduced user confidence in reports and analytics.
- Increased compliance exposure where inaccurate data underpins decisions.
When users do not trust the data, they do not trust the system.
How infoboss helps
Infoboss automatically discovers and profiles application data across legacy systems, assessing completeness, duplication, and consistency before migration begins.
Data quality dashboards allow teams to prioritise cleansing activity, reduce migration volume, and validate readiness before cutover. Sensitive and regulated data is identified to ensure correct handling during transition.
Infoboss integrates with migration tools and workflows, providing an auditable, data-driven foundation for successful application change.
Proven outcomes
An example in the housing sector, infoboss was used to improve source data quality before migrating to new compliance and housing management systems. Data was transformed and validated ahead of cutover, enabling a successful, on-time migration with confidence in the resulting data.
See related article: https://infoboss.co.uk/legacy-information-poses-a-serious-risk/
Key takeaway: A new system only delivers value if the data going into it is fit for purpose.