2. Author
• Astute corporate resource with 11+ years of corporate experience with emphasis on database management, programming,
software development, testing, web technologies and product improvement for corporations. Combines expert software
and database management expertise with strong qualifications in Software, Data Engineering & Information Management.
Concurrently, manage all the database functions for the current company. Industry experience in Information Technology.
Strong understanding of the complex challenges in Software Development and problem troubleshooting. An expert on
identifying and solving problems, gaining new business contacts, reducing costs, coordinating staff and evaluating
performance. Professional traits include; problem-solving, decision-making, time management, multitasking, analytical
thinking, effective communication, and computer competencies.
Enterprise Data Management by Syed Jahanzaib Bin Hassan
3. Qualification and Certification
• Bachelor of Science in Computer Science
• Master of Science in Data Engineering and IM *
• Oracle Certified Professional OCA on 9i
• Oracle Certified Professional OCP on 9i
• Oracle Certified Professional OCP on 10g
• Oracle Certified Professional OCP on 11g
• Oracle Certified Professional OCP on 12c
• Oracle Certified Professional OCP on MySQL 5
• Oracle Certified Professional OCE on 10g managing on Linux
• Oracle Certified Professional OCP on E-Business Apps DBA
• Microsoft Certified Technology Specialist on SQL Server 2005
• Microsoft Certified Technology Specialist on SQL Server 2008
• Microsoft Certified IT Professional on SQL Server 2005
• Microsoft Certified IT Professional on SQL Server 2008
• Sun Certified Java Programmer 5.0
• IBM Certified Database(DB2) Associate 9.0
• ITIL V3 Foundation Certified
• COBIT 5 Foundation Certified
• PRINCE2 Foundation Certified
4. Agenda
• Definitions
• What is Enterprise Data Management
• What are the areas included in the EDM
• Cases
• Use Cases
• Business Cases
• Team Structure
• Planning and ExecutionTeam
• Team Requirement
• Required Skills Set for the Execution of the defined areas
• Projects and Milestones
• ROAD Map
• Technologies
Enterprise Data Management by Syed Jahanzaib Bin Hassan
5. Enterprise Data Management ?
• Enterprise Data Management (EDM) is the ability of an organization to
precisely define, easily integrate and effectively retrieve data for both internal
applications and external communication
• Enterprise Data Management is a company wide data management including
structured , semi-structured and unstructured data
Enterprise Data Management by Syed Jahanzaib Bin Hassan
6. Definitions
• Master Data Management
• Reference Data Management
• Metadata Management
• Data Governance
• Data Quality
• Data Analytics
• Data Privacy
• Data Integration
• Data Architecture
Enterprise Data Management by Syed Jahanzaib Bin Hassan
7. Fundamental Concepts
• Data Element
• Data Element is a unit of data for which the definition, identification, representation, and
permissible values are specified by means of a set of attributes.
• Criteria for Data Element to become Critical
• Business facts that deemed critical to the organization
• Support critical business processes across an organization and its components
• Data used to derive values that appear in key reports
• Unique identified of things important to the business e.g. Customer ID
• Critical Data Element
• Critical Data Element is the data element that is "critical to success" in the specific business
area or business process
Enterprise Data Management by Syed Jahanzaib Bin Hassan
8. Master Data Management
• What is Master Data Management
• Master Data refers to the data which are agreed on and shared across the enterprise
• How Master DataWorks
Enterprise Data Management by Syed Jahanzaib Bin Hassan
9. Reference Data Management
• What is Reference Data Management
• Reference Data is the subset of Master Data that refers to the data that defines the set of
permissible values to be used by other data fields
Enterprise Data Management by Syed Jahanzaib Bin Hassan
10. Metadata Management
• What is Metadata Management
• Involves managing data about other data, whereby this "other data" is generally referred
to data models and structures , not the content. It includes management information
about data structures from different models and their mutual associations
• Business terms in glossary
• Attributes in logical data model
• Tables and columns in the database as well as their associations
• Business Metadata
• Describes data element from the business uses perspective and includes information like
business glossaries with terms and definitions, synonyms, acronyms, business rules, and
ownership
• Technical Metadata
• Describes data element from the technical user perspective and includes information like logical
data models, source and target systems, table and fields structures and attributes, as well as
cross-model dependencies
Enterprise Data Management by Syed Jahanzaib Bin Hassan
14. Metadata Management Roles
• Business Roles
• Business Owner
• Data Steward
• Technical Roles
• TechnicalOwner
• Data Custodian
Enterprise Data Management by Syed Jahanzaib Bin Hassan
17. Data Governance
• What is Governance
• The action or manner of governing a state, organization “Google Dictionary”
• What is Data Governance
• Data governance is the capability that enables an organization to ensure that high data
quality exists throughout the complete lifecycle of the data.The key focus areas of data
governance include availability, usability, consistency, data integrity and data security and
includes establishing processes to ensure effective data management throughout the
enterprise “Wikipedia”
Enterprise Data Management by Syed Jahanzaib Bin Hassan
18. Data Governance
• Data Governance refers to the overall management of the availability,
usability, integrity, and security of the data employed in an organization.
Includes a governing body( often called council ), a defined set of standards
and policies, and a plan to execute those standards and policies
• Data Governance is all about to ensure that same data standards and policies are
defined, and enforced across the entire organization
Enterprise Data Management by Syed Jahanzaib Bin Hassan
20. Data Governance Principles
• Data Governance is less technical than any other data management
capability. It is about the organization , standardization, policies.
• Data Governance is closely related to Data Quality and Metadata
Management
• Principles
• Sponsorship
• DataGovernanceCouncil
• Ownership
• Data Standards
• Monitoring
• Executive Support
• ChangeControl
Enterprise Data Management by Syed Jahanzaib Bin Hassan
21. Data Quality
• What is Quality
• The standard of something as measured against other things of a similar kind; the degree
of excellence of something “Google Dictionary”
• What is Data Quality
• Data Quality refers to the methodical approach,policies and processes by which an
organization manages the accuracy, validity, timeliness, completeness, uniqueness, and
consistency of its data in systems and data flows.
Enterprise Data Management by Syed Jahanzaib Bin Hassan
26. Data Analytics
• What is Analytics
• Analytics refers to the process of using data in order to perform, monitor, understand and
improve business
• What is Data Analytics
• Data analytics is the process of examining data sets in order to draw conclusions about the
information they contain, increasingly with the aid of specialized systems and software
“Techtarget”
Enterprise Data Management by Syed Jahanzaib Bin Hassan
27. Data Analytics
• Analytics haveTwo broad dimensions
• Reporting
• Analysis
Enterprise Data Management by Syed Jahanzaib Bin Hassan
28. Data Privacy
• What is Privacy
• The boundaries and content of what is considered private differ among cultures and
individuals, but share common themes.When something is private to a person, it usually
means that something is inherently special or sensitive to them “Wikipedia”
• What is Data Privacy
• Data Privacy also called Data Protection or data security refers to the process, policies and
technology to protect sensitive information from unauthorized access and use, internally
and externally
Enterprise Data Management by Syed Jahanzaib Bin Hassan
29. Data Privacy Examples
• Social Security Number or NIC
• Credit Card Number
• Date of Birth
• Email Address
• Sales Plan
• Marketing Plan
• Customer Information
• Vehicle Location Data
Enterprise Data Management by Syed Jahanzaib Bin Hassan
30. Data Governance vs Data Privacy
Enterprise Data Management by Syed Jahanzaib Bin Hassan
31. Data Privacy
• Non-Sensitive Information
• Public Information
• Routine Business Information
• Sensitive Information
• Personal and private Information
• Confidential Business Information
• Classified Information
Enterprise Data Management by Syed Jahanzaib Bin Hassan
33. Data Integration
• What is Integration
• Process of attaining close and seamless coordination between several departments,
groups, organizations, systems, etc.
• What is Data Integration
• Data Integration refers to the process and technologies for data movement from Source
Data systems to target data systems. On its way, data are usually transformed in order to
fit business requirement.
Enterprise Data Management by Syed Jahanzaib Bin Hassan
35. Data Architecture
• What is Architecture
• Architecture is both the process and the product of planning, designing, and constructing
buildings or any other structures “Wikipedia”
• What is Data Architecture
• Data Architecture refers to the models, policies, rules, or standards that govern which
data is collected, and how it is stored, arranged, and put to use in a database system,
and/or in an organization
Enterprise Data Management by Syed Jahanzaib Bin Hassan
