£1295 + vat (if UK resident) / Vat not charged if outside UK

Information Management Fundamentals is a comprehensive course that provides knowledge, methods, and techniques required to analyse, mature and implement information management solutions. The course is designed with the aim of providing a solid grounding in various Data Management disciplines.

This course is designed for professionals interested in gaining a comprehensive understanding of different Information Management disciplines. 

This course provides a solid foundation in Data Management principles across various disciplines, preparing you for the CDMP Data Management Fundamentals exam. It offers practical application insights using real-world examples and provides a broad understanding of the core Information Management concepts. It covers key topics including Data Governance, Data Quality Management, Master and Reference Data Management, Business Intelligence, Data Warehousing, Data Modelling, and many more.

It’s ideal for Business Intelligence & Data Warehouse Developers & Architects, Data Modellers, Developers, Data Architects, Data Analysts, Enterprise Architects, Solution Architects, Application Architects, Information Architects, Business Analysts, Database Administrators, Project / Programme Managers, IT Consultants, Data Governance Managers, Data Quality Managers, and Information Quality Practitioners. This course also caters to those seeking professional recognition and certification, specifically the DAMA Certified Data Management Professional (CDMP).

There is no exam with this course, but once the course is complete, students will have the opportunity to take the CDMP examination. This must be booked independently. Details of the CDMP examinations, levels, and costs can be found at https://cdmp.info/.

Event Details
Course Instructor
DAMA Certified Data Management Professional
Darrly Everett is a DAMA Certified Data Management Professional (Master) and data leader/architect with 19+ years of experience across numerous industries. Building on a solid foundation in data focused software design/development he has built a career on impactful, changed managed and enterprise scoped deliverables. Over his 19+ year career Mr. Everett has gained senior level experience with: c-suite engagements in data management and analytics best practice; implementation and support of Master Data Management initiatives and systems, knowledge of strategic implementation of data management; theory and methods for data/software application development and system design; troubleshooting techniques and practices; working knowledge of TSQL, DAX, .NET framework, ASP.Net, VB.Net, C#, PHP, XML, and OO Design Methodology; working knowledge of the Software Development Lifecycle in planning and implementing the architecture, design, and development of web/client application solutions; working knowledge of Internet/Intranet architecture; advanced knowledge and experience with relational database design and modelling; knowledge of current development and data technologies; ability to communicate effectively, verbally and in writing; skill in the analysis and design of on-line systems; skill to determine and translate business needs to technical resources and work effectively with staff; skill to lead design and development efforts and to produce detailed design specifications; working knowledge related to configuration and Test, Quality Assurance, and Production environments; ability to organize and conduct related design and code reviews, User Acceptance testing, and end-user training.
Who is this Course for?

This course is designed for professionals interested in gaining a comprehensive understanding of different Information Management disciplines. It's ideal for Business Intelligence & Data Warehouse Developers & Architects, Data Modellers, Developers, Data Architects, Data Analysts, Enterprise Architects, Solution Architects, Application Architects, Information Architects, Business Analysts, Database Administrators, Project / Programme Managers, IT Consultants, Data Governance Managers, Data Quality Managers, and Information Quality Practitioners. This course also caters to those seeking professional recognition and certification, specifically the DAMA Certified Data Management Professional (CDMP).

Why take this Course?

This course provides a solid foundation in Data Management principles across various disciplines, preparing you for the CDMP Data Management Fundamentals exam. It offers practical application insights using real-world examples and provides a broad understanding of the core Information Management concepts. It covers key topics including Data Governance, Data Quality Management, Master and Reference Data Management, Business Intelligence, Data Warehousing, Data Modelling, and many more.

About this Course

Information Management Fundamentals is a comprehensive course that provides knowledge, methods, and techniques required to analyse, mature and implement information management solutions. The course is designed with the aim of providing a solid grounding in various Data Management disciplines.

Is there an Exam?

There is no exam with this course, but once the course is complete, students will have the opportunity to take the CDMP examination. This must be booked independently. Details of the CDMP examinations, levels, and costs can be found at https://cdmp.info/.

Will I gain Certification/Accreditation?

There is no exam with this course, but once the course is complete, students will have the opportunity to take the CDMP examination. This must be booked independently. Details of the CDMP examinations, levels, and costs can be found at https://cdmp.info/.

Full Course Outline

Introduction to Data Management, DMBoK & CDMP certification
Data Governance: Understand its importance, principles, roles & responsibilities, operating models, and more.
Data Quality Management: Learn about data quality facets, dimensions, and measures, and explore a workable Data Quality Framework.
Master Reference Data Management: Learn about MDM architectures, their suitability, implementation approaches, and the essential relationship between Master Data Management, Data Quality, and Data Governance.
Data Warehousing BI Management: Understand the concept, purpose, and architectures of Data Warehouses and Business Intelligence.
Data Modelling: Discover different types of Data Models and their interrelations, and their use in Data Governance and Data Quality Management.
Metadata Management: Learn about different types of Metadata, its sources, and its connection with Business Glossaries.
Data Integration Interoperability: Understand the styles, applicability, and implications of Data Integration Interoperability.
Data Architecture Data Lifecycle Management: Learn about proactive planning for data management across its entire lifecycle.
Data Risk Management, Security, Privacy & Regulatory Compliance: Explore threat categories, defense mechanisms, and implications of security & privacy breaches.
Data Operations Management: Understand the core roles, considerations, and good practices for data operations.
Records Content Management: Learn about the importance and lifecycle of records management.
By the end of the course, delegates will have a well-rounded understanding of Information Management disciplines and will be well-prepared to apply this knowledge in their professional roles.

Event Details