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UID:36326ba5602945961522adb760c70aa6@egytraining.org
SUMMARY:Certified Data Professional Management CDMP
DESCRIPTION:Introduction\n  Data management represents a core institutional
  discipline governing how information assets are structured\, governed\, pr
 otected\, and utilized within modern organizations. It defines the foundati
 ons of data quality\, integration\, security\, and lifecycle control across
  operational and strategic environments.\n  This training program presents 
 formal frameworks\, governance models\, architectural structures\, and mana
 gement methodologies used to regulate enterprise data ecosystems. It provid
 es an organizational perspective on how systematic data management supports
  decision integrity\, regulatory alignment\, and long term digital sustaina
 bility.\n  Program Objectives\n  \n    Analyze enterprise data management f
 rameworks and organizational data architectures.\n    Classify data domains
 \, lifecycle stages\, and ownership structures within institutional environ
 ments.\n    Evaluate governance\, quality\, and metadata management models.
 \n    Assess data security\, privacy\, and regulatory compliance structures
 .\n    Examine performance measurement and maturity assessment systems for 
 data management functions.\n  \n  Target Audience\n  \n    Data managers an
 d information governance officers.\n    Business intelligence and analytics
  professionals.\n    IT and digital transformation specialists.\n    Risk\,
  compliance\, and data protection officers.\n    Enterprise architects and 
 system integration professionals.\n  \n  Program Outline\n    Unit 1: Found
 ations of Enterprise Data Management\n    \n      Institutional role of dat
 a as a strategic organizational asset.\n      Data domain classification mo
 dels and ownership structures.\n      Enterprise data architecture layers a
 nd interaction logic.\n      Data lifecycle governance stages.\n      Organ
 izational responsibilities within data management functions.\n    \n    Uni
 t 2: Data Governance and Policy Frameworks\n    \n      Governance operatin
 g models for enterprise data environments.\n      Data stewardship structur
 es and accountability matrices.\n      Policy formulation frameworks for da
 ta usage and control.\n      Decision authority distribution in data govern
 ance systems.\n      Alignment between governance models and organizational
  strategy.\n    \n    Unit 3: Data Quality and Metadata Management Structur
 es\n    \n      Data quality dimensions and institutional measurement frame
 works.\n      Data profiling and validation architecture models.\n      Met
 adata classification systems and repositories.\n      Master data and refer
 ence data governance structures.\n      Integration steps between data qual
 ity controls and business processes.\n    \n    Unit 4: Data Security\, Pri
 vacy\, and Regulatory Alignment\n    \n      Information security architect
 ure for data environments.\n      Privacy classification models and persona
 l data governance.\n      Regulatory compliance structures affecting data m
 anagement.\n      Risk exposure mapping structures related to data misuse a
 nd breaches.\n      Institutional audit and monitoring systems for data con
 trols.\n    \n    Unit 5: Data Management Performance and Maturity Models\n
     \n      Data management capability maturity frameworks.\n      Performa
 nce indicators for data governance effectiveness.\n      Organizational ben
 chmarking models for data operations.\n      Investment evaluation structur
 es for data infrastructure initiatives.\n      Continuous improvement archi
 tectures for enterprise data ecosystems.
LOCATION:Cairo
DTSTAMP:20260914T004223Z
DTSTART:20260920T034500Z
DTEND:20261003T210500Z
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