Use case
Data reliability before migration to a new tool
Ensure data reliability when migrating to a new tool: CRM, ERP, etc.
The need
Improving data quality and monitoring data reliability over time was an essential prerequisite for the success of our customer's future projects, first and foremost the migration to a new platform.
Proposed solution
Automated Quality Audit report detecting anomalies at cell, column or row level: missing or ill-formed data, outliers, duplicates.
Automated data quality operations: rectification, homogenization, enrichment by fuzzy joins on first and last names, deduplication.
Implementation of validation rules requested by the customer (Tale of Data business rules engine).
Creation of alert dashboards, to anticipate and prevent any decline in data quality over time.
Benefits
Reduced data migration time to the customer's new database.
Increased efficiency of business/IT collaboration on data reliability.
Significant increase in reporting consistency following improved data quality.
Reduced risks on a difficult project: the migration of all their data to their new platform.
Product Benefits
Integrate
Seamless integration of AI and No-Code technology for effective data refinement.
Collaboration
Shareable
Visualize
Powerful
Quality
Achieve superior data quality faster and at a lower cost, while demonstrating the tangible value of investing in data excellence.