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Methodology & Activities
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Designing and implementing monitoring for Data Quality requires the involvement and collaboration of the following stakeholders:
    * **Data Owners**, who are accountable for the level of quality of Data under their scope
    * Technical teams such as **R&D Teams** or **Data Quality Teams** within R&D teams who are responsible for implementing Dashboards and alerting mechanisms  
    * **BDOs**, **Data Owners**, **Data Stewards** and **Data Quality analysts**, who are in charge of sharing the Data Quality reports with **ADO** and other stakeholders

The following diagram presents a high level view of the process:

.. image:: ../_static/img/dqf-monitoring-sequence-diagram.png
   :width: 90%
   :alt: Monitoring sequence diagram
   :align: center

.. raw:: html

    <p style="text-align: center;font-style: italic;font-size:12px">Process for Data Quality Monitoring</p>
    <br/>   

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The detailed steps with expected inputs and outputs are outlined in the following table:

.. image:: ../_static/img/dqf-monitoring-methodology.png
   :width: 90%
   :alt: Monitoring methodology
   :align: center


.. raw:: html

    <p style="text-align: center;font-style: italic;font-size:12px">Data Quality Monitoring activities</p>
    <br/>   

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.. raw:: html

    <p style="font-weight: bolder;color: #3A8BFF;">(*)Monitoring template</p>
    <p>Please refer to the <a href="../dqf-resource_center/6-monitoring/dqf-resource_center-monitoring.html">Data Quality Framework documentation center</a>.

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