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https://docs.google.com/forms/d/1b4usCB1iLrIkRAPdNG4Jk17WIUPxrdiiUmIZMj21eBQ/edit?usp=drivesdkImage Added

DQ Remediation Tree:  A map to identify to identify the right touchpoints for remediation in function of the remediation type and domain

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Welcome to the Data Quality Wiki Page!

This page is your central hub for all things related to Data Quality (DQ). It provides key resources to help you monitor, manage, and improve data quality across Solvay.

Here, you'll find:

DQ KPI Dashboard: A live view of key performance indicators to track and measure the effectiveness of our data quality efforts.

 TO BE UPDATED 

DQ Issues Backlog: A comprehensive list of identified data quality issues, along with their status and resolution progress, ensuring transparency and continuous improvement.

Google Drive Live Link
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file/d/
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DQ Request Form: A business request form for Data Quality initiatives.

Google Drive Live Link
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Google Drive Live Link
urlhttps://docs.google.com/spreadsheets/d/1WVJ_juZijgjf3_tlui4gfGyg_CxSmRTIPUXjBzRPL8c/edit?usp=drivesdk

DQ Rules Template: A comprehensive list of the DQ rules definitions that are monitored through the DQ KPI Dashboard and will be enriched continuously

Google Drive Live Link
urlhttps://docs.google.com/spreadsheets/d/1L4oORB9iP0Dtgu7wmYG6vVZRdvoqAlTkMukU9qpuCUQ/edit?usp=drivesdk

 Data Quality Policy:  Guidance document to understand the DQ standards, guidelines and processes to be applied within Solvay.

It outlines the activities and resources required to execute and operate the Data Quality processes. The Data Governance roles involvement and responsibilities related to the Data Quality are also described and explained in this reference document. 

Google Drive Live Link
urlhttps://docs.google.com/presentation/d/1bhDA64zhGg3L1-pHyeItdj4JMtLYGUjyJjY1H5dHFsE/edit?usp=drivesdk


Use this page to stay informed and actively contribute to maintaining high standards of data quality.




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If you have any questions regarding the Data Quality process and training materials, please contact:

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titleData Quality Process

For more detailed information about Data Quality, explore the resources available here: Training Materials

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