Data Management Training Courses Overview.

Training Overview

"To develop sustainable solutions for AI & Digital Transformation, you need trustworthy data. Data Management has never been more important."

DATANACITY offers a range of Private Training and Bespoke Programmes, as well as Public Courses focused on various aspects of Data Management.

All our courses can be run in-house exclusively for your team (a team discount is available), or we can design customised data training solutions specifically for your organisation or team, tailored to your exact sector requirements.

Alternatively attend one of our public courses and enrich your training experience, by learning and sharing with delegates from other organisations.

Our training is aligned to the industry-standard Data Management Association's (DAMA) Data Management Body of Knowledge (DMBoK) and prepares delegates for the DAMA Certified Data Management Professional (CDMP) exams.

Foundational Data Training

Intended Participants:
All employees

Time White Graphic

4 Hours

Digital Literacy

Data Literacy

Delegates will leave with an understanding of:

The terms and concepts of data
The fundamental elements of data management
How to communicate effectively about data
How to contribute meaningfully to data initiatives.

Intended Participants:
Anyone working with AI

Time White Graphic

4 Hours

AI Literacy

Delegates will leave with an understanding of:

The terms and concepts of AI
The fundamental of AI
The risks when using AI
How to work effectively with AI technology.

Intended Participants:
All employees

Time White Graphic

4 Hours

Data Awareness

Digital Awareness

Delegates will:

Acquire a good understanding of their role in the Digital World
Learn how to use technology safely and securely
Appreciate the risks, challenges and opportunities of the Digital Landscape.

Intended Participants:
Anyone working with Data

Time White Graphic

4 Hours

Data Quality Awareness Icon

Data Quality Awareness

Delegates will understand:

Why Data Quality is important
The effects of good and bad data quality
The importance of their role in improving the data.

Intended Participants:
Anyone required to analyse data or produce reports

Time White Graphic

3 Days

Data Analytics

Data Analytics

Delegates will learn know how to:

Gather and collate data
Understand it and ensure its quality
Analyse and interpret it
Turn data into, scorecards, dashboards and reports.

Intended Participants:
All employees

Time White Graphic

1 Day

Data Management Essentials Icon

Data Management Essentials

Delegates will leave with an understanding of:

The terms and concepts of Data Management (DM)
What is required to establish robust DM
What to consider when defining a data strategy

Data Management Roles

Intended Participants:
Data Owners, Data Stewards.

Time White Graphic

1 Day

The Role of the Data Owner Icon

The Role of the Data Owner

Participants will leave with an understanding of:

The roles and responsibilities of Data Owners and Data Stewards
What is required to manage Data Management Practices
What you need to know about the Data Management Disciplines
How to manage DM resources and assets effectively.

Intended Participants:
Aspiring Data Stewards

Time White Graphic

4 Days

Data Steward Icon

The Role of the Data Steward

Participants will leave with an understanding of:

The responsibilities of a Data Steward
How to implement the processes & procedures required to ensure the quality, control, usage, and protection of data
How to inspire others to work with them in caring for the data.

CDMP Certification - Exam Prep

Intended Participants:
Data Management Professionals

Time White Graphic

4 Days

Data Management Fundamentals Icon

Data Management Fundamentals

This course provides a bird’s eye view of DAMA DMBoK that:

Makes the material easier to understand and apply
Will give you a good understanding of all the Knowledge Areas
Ensures you can easily navigate DMBoK v2
Prepares you to write the CDMP Fundamentals Exam.

Intended Participants:
Anyone needing to set up Data Governance

Time White Graphic

3 Days

Data Governance

How to Implement Practical Data Governance

Delegates will participate in practical exercises to understand:

What to include in a Data Governance Strategy
Proven best practices for implementing Data Governance
The tools required to implement Data Governance
How to ensure Data Governance is sustainable.

Intended Participants:
Data Management Practitioners

Time White Graphic

3 Days

Implementing Metadata

Metadata underpins all your Data. This course provides:

An introduction to Data Management, within the context of Metadata
The Implementation of Metadata in all aspects of Data Management
Applying Metadata – how to go about it
Practical exercises for some real-life experience.

Intended Participants:
Data Quality Practitioners

Time White Graphic

3 Days

Data Quality Management

How to Implement Practical Data Quality Management

Delegates will participate in practical exercises to:

Understand the issues affecting Data Quality
Recognise and quantify the symptoms
Develop an action plan to address those issues with a controlled and repeatable process
Maximise the use of tools to improve & monitor Data.

Intended Participants:
Data Management Practitioners

Time White Graphic

3 Days

Implementing Reference and Mastar Data Icon

Implementing Reference & Master Data

This course will teach you how to:

Identify and manage the risks of implementing an MDM solution
Define the Architecture, Data Modeling, Data Storage, and Integration aspects of implementing MDM
Identify and implement the processes to resolve Data Quality Issues
Define and implement a process with the appropriate Audit Controls.

Intended Participants:
Data Management Practitioners

Time White Graphic

3 Days

Solving the Data Integration and Migration Icon

Solving the Data Integration / Migration Challenge

This course covers:

The risks and what often goes wrong with these types of initiatives
Where to start and which approach to apply
How to prepare and practical steps to be successful
How to involve stakeholders effectively.

Intended Participants:
Data Management Practitioners

Time White Graphic

3 Days

Data Warehousing and BI Icon

Solving the Data Warehouse / Business Intelligence Challenge

This course covers:

What to consider when designing & building a DW
How to design & build ETL to support Business Requirements
How to develop appropriate supporting processes.

Course Types

Private In-House Training:

Any of our training can be run in-house for only your team
Geared to improve the data knowledge and skills of teams
To ensure consistent competencies for groups performing a particular function or role
With flexible delivery, as they can be scheduled when convenient for you
Single courses or packages.

Bespoke Programmes:

High quality, uniquely crafted, personalise training programs developed specifically for your organisation
Designed to address your precise requirements
Tailored to align with the culture & terminology of your business environment
To address the needs of different roles across the organisation
Including pre and post-training activities, such as assessments, coaching and mentoring, and ongoing support for delegates; where appropriate
Scheduled and delivered when, where and how convenient for the delegates.

Public Courses:

Scheduled courses open to all
Select the course that interests you - register, and attend
Experience your training with delegates from other organisations and benefit from hearing what is common and what is different in the challenges faced
Single courses or learning path packages.

Affiliations

Contact

Social Media

Admin

Datanacity.com Icon

© Copyright 2024 - 2026 DATANACITY (Pty) Ltd