COURSE DESCRIPTION
Data is the lifeblood of every business. All decisions in business, whether it is strategic or operational must rely on sound data. Business stakeholder are in the first line of defense at evey process level and are impacted by data quality on a daily basis. Therefore, having affective skills in core concepts of data management can directly impact their day to day job effectiveness and satisfaction.
Majd Izadian is a Data, Information, and Knowledge management professional with over 25 years of industry experience in Healthcare, Supply Chain, High Tech, Real Estate, Finance, and Oil & Gas. He has held executive positions in Fortune 5, Fortune 67, and Fortune 500 companies with both domestic and international clienteles such as UnitedHealth Group, Kaiser Permanente, Ingram Micro, Huawei, Cisco, Corvel, Hong Kong Police, and many others. He has a patent in data management technologies and has innovated numerous novel frameworks and methodologies. Majd has taught at the University of California in Irvine as an Adjunct Professor in Data Science courses. Majd is currently the Chief Data Officer and managing partner at Xendat Data & Analytics.
LEARNING OUTCOMES
- Over 37 lectures and 55.5 hours of content!
- LIVE PROJECT End to End Software Testing Training Included.
- Learn Software Testing and Automation basics from a professional trainer from your own desk.
- Information packed practical training starting from basics to advanced testing techniques.
- Best suitable for beginners to advanced level users and who learn faster when demonstrated.
- Course content designed by considering current software testing technology and the job market.
- Practical assignments at the end of every session.
- Practical learning experience with live project work and examples.
- Lectures 58
- Quizzes 0
- Duration 54 hours
- Skill level All levels
- Language English
- Students 28
- Assessments Yes
-
Introduction To Data
-
Data Classifications
- DATA CLASSIFICATIONS
- WHAT IS MASTER DATA?
- WHY MASTER DATAMANAGEMENT
- USING A CANONICAL MODEL IN MDM
- MDM DRIVES CONSOLIDATION AND SPEED
- MDM BEST PRACTICES
- MANAGING MASTER DATA ACROSS MULTI PROCESSES
- REPORTING DATA
- FACTS VS. TRUTH IN DATA
- SINGLE VERSION OF TRUTH
- BUSINESS INTELLIGENCE
- BUSINESS INTELLIGENCE REPORTING
- BIG DATA
- BIG DATA SEGMENTATION
- FOUR QUALIFYING ASPECTS OF BIG DATA
-
Managing Data- Part 1
- DATA AFFINITY
- DATA LIFECYCLE
- DATA INTEGRATION VS. MIGRATION
- INFORMAL DATA INTEGRATION
- FORMAL DATA INTEGRATION
- DATA LINEAGE
- DATA QUALITY
- DATA QUALITY DIMENSIONS
- DATA DISSEMINATION IMPACT ON DATA QUALITY
- REACTIVE DATA QUALITY
- PROACTIVE DATA QUALITY
- XENDAT DQ METHODOLOGY
- DQ REQUIREMENTS: COMPLETENESS EXAMPLE
- DQ REQUIREMENTS: VALIDITY EXAMPLE
-
Managing Data - Part 2
- DATA GOVERNANCE AND STEWARDSHIP
- DATA STEWARDSHIP VS. OWNERSHIP
- POLICIES IN DATA GOVERNANCE
- DATA POLICIES
- DATA GOVERNANCE PRINCIPALS
- DATA GOVERNANCE MODELS
- DATA GOVERNANCE DIMENSIONS
- FEDERATED DATA GOVERNANCE ORGANIZATION
- OBJECTIVES OF THE EDMO
- EDMO RESPONSIBILITIES
- DMO RESPONSIBILITIES
- EDMO RESPONSIBILITIES SCOPE
- DATA GOVERNANCE FUNCTIONAL MATRIX
- DATA GOVERNANCE PROCESS LEVELS
- DATA GOVERNANCE FUNCTIONS
