Generative AI to optimize data quality: Tale of Data's innovative approach
After the IAG shockwave, it's time for pragmatism for Jean-Christophe Bouramoué, creator of the Ta data quality platform.
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Data reliability before migration to a new tool
Ensure data reliability when migrating to a new tool: CRM, ERP, etc.
The need
Improved data quality and long-term control of data reliability the reliability of this data was an essential prerequisite for the success of our customer's future projects, foremost among which was 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.
Automation of data quality operations: rectification, homogenization, enrichment by fuzzy joins on surnames and first names, deduplication.
Implementation of the 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.
Earnings
Reduced data migration time to the customer's new database.
Increased efficiency of business/IT collaboration on data reliability.
Significant increase in reporting consistency thanks to improved data quality.
Reduced risk on a project in difficulty: the migration of all their data to their new platform.
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