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Muhammad Rawish Siddiqui

Muhammad Rawish Siddiqui
Muhammad Rawish Siddiqui

Master’s degree in computer science with Specialization in Software Engineering and Earned PGD in Management Information System, in addition to 45+ Online Professional Certifications.

Accumulated 20+ years’ Information Technology, Data Governance, Data Management, and Compliance related consecutive hands-on experience, possess diversified business and technical background across the Aviation, Healthcare, Investment, Education, and Construction sectors.

Engaged in Applied Research with a focus on Big Data Governance, Privacy, Security, and Compliance, resulting in the publication of numerous articles and research manuscripts in prestigious international journals, including the Journal of Sensor Networks and Data Communications, the Journal of Electrical Electronics Engineering, and the Innovative Journal of Applied Science. These works contribute practical insights and solutions to address industry challenges effectively.

Experience includes leading data governance and management initiatives, ensuring compliance with NDMO, GDPR and KSA PDPL, and implementing/improving data security, privacy, & protection.

Served in leadership capacities such as Manager – Data Management, Adjunct Faculty Member, Sr. Team Lead – Database Specialist, Sr. Team Lead Consultant, Sr. Applications DBA, Sr. Resident Consultant, and Manager Systems.

Possesses extensive expertise spanning a diverse range of platforms, tools, technologies, hardware, software, and operating systems, effectively leveraging this knowledge to address complex challenges in Data governance, security, privacy and compliance.

45+ Online Professional Certifications, which includes:
• CDMP – Certified Data Management Professional
• CDPO – Certified Data Protection Officer
• GDPR – General Data Protection Regulation Practitioner
• EDRP – EC-Council Disaster Recovery Professional
• AWS Certified Cloud Practitioner
• Oracle Enterprise Data Management Professional
• Oracle Database Cloud Certified Professional
• ITIL – Information Technology Infrastructure Library (ITSM – IT)

For further detail

  • Professional Journey – At a Glance
  • LinkedIn
  • ORCID – Publication Detail
  • ResearchGate
mdmteam.org/author/rawish/
February 28, 2022
  • By Muhammad Rawish Siddiqui
  • 0

Data Quality Rules

Data Quality Rules – Foundation of Operational Management Data Quality Rules provide the foundation for operational management of Data Quality. Rules can be integrated into application services or Data services …

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February 28, 2022
  • By Muhammad Rawish Siddiqui
  • 0

Data Quality – Improvement (Part 1)

Data Quality Improvements – Assessing the Current State In order to improvements the Data Quality, DQ Analysts must have the clear picture about Current State of Data Quality as well …

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February 27, 2022
  • By Muhammad Rawish Siddiqui
  • 0

Data Quality Assessment

Data Quality Assessment – A Practical Approach to Improvement DQ Analysts will need to sort out and prioritize findings. The goal of an initial Data Quality Assessment is to learn …

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February 26, 2022
  • By Muhammad Rawish Siddiqui
  • 0

RDM – Reference Data Management

What is RDM – Reference Data Management Reference Data is any data used to characterize or classify other data, or to relate data to information.Reference Data Management entails control and …

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February 25, 2022
  • By Muhammad Rawish Siddiqui
  • 0

Data Management – What is Master Data?

What is Master Data Management-MDM Different types of Data play different roles within an organization. They also have different management requirements. Malcolm Chisholm has proposed a six-layer Taxonomy of Data …

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February 25, 2022
  • By Muhammad Rawish Siddiqui
  • 0

Reference and Master Data Management – Guiding Principles

Shared and Owned Enterprise Data in Master Data Mangement Principles Stewardship and Data Quality Governance Change Control and System of Record in Master Data Mangement Principles

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February 24, 2022
  • By Muhammad Rawish Siddiqui
  • 0

Data Quality – Parsing and Transformation

How Data Quality Work in Parsing and Transformation Data Quality Parsing Data Parsing is the process of analyzing data using pre-determined rules to define its content or value. Data parsing …

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February 24, 2022
  • By Muhammad Rawish Siddiqui
  • 0

Data Quality – Cleansing and Enrichment

Data Cleansing Data Cleansing / Scrubbing Data Cleansing or Scrubbing transforms data to make it conform to data standards and domain rules. Cleansing includes detecting and correcting data errors to …

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February 24, 2022
  • By Muhammad Rawish Siddiqui
  • 0

Data Quality – Data Profiling

What Is Data Profiling in Data Quality? Data Profiling is a form of data analysis used to inspect data and assess quality. Data profiling uses statistical techniques to discover the …

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February 23, 2022
  • By Muhammad Rawish Siddiqui
  • 0

Data Quality – Causes of Data Quality Issues – Part-03

Data Quality Issues Part-03 Issues Caused by System Design Failure to Enforce Uniqueness Constraints Multiple copies of data instances within a table or file expected to contain unique instances. If …

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Recent Comments

  • Hafsa on Nucleus
  • Hafsa on EMULSION
  • Labeeq Siddiqui on How to Measure the Value of Data – NDMO (DVR-01)

Recent Posts

  • KSA PDPL – Article 8 (Processor Selection and Monitoring)
  • KSA PDPL – Article 5 (Consent Management and Withdrawal Mechanism)
  • KSA PDPL – Article 6 (Exemptions from Consent for Data Processing)
  • KSA NDMO – Personal Data Protection – PDP Training – PDP.2.1 P1
  • Data Strategy vs. Data Platform Strategy

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