Use case
Data reliability before migration to a new tool
Ensure data reliability when migrating to a new tool: CRM, ERP, etc.


The need
Ensure data quality to secure migration to a new environment
For our customer,improving data quality and controlling data reliabilityover time was an essential prerequisite for the success of future projects, foremost among which was migration to a new platform.
The proposed solution
An agile, collaborative solution to automate upstream data reliability
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 surnames and first 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
Secure migration, reliable data and improved collaboration
Reduced data migrationtime 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 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 efficient data refinement.
Collaborate
Collaborate across teams to ensure complete data quality.
Shareable
Go beyond data transformation scripts for a readable, shareable project.
View
Move from the "black box" of scripting to an intuitive, documented visualization of all your data transformations.
Powerful
Use powerful dashboards to simplify analysis and drive continuous improvement.
Quality
Achieve superior data quality faster and at lower cost, while demonstrating the tangible value of investing in data excellence.
Intuition
Get a complete, intuitive visual representation of the data journey, from raw data to finalized data products.
Organized
Align your organization with data quality initiatives.
Aligned
Easily align your business with ever-changing regulatory requirements.
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