An Interactive 5-Day Training Course

Big Data Governance: Bad Data or Better Data or Best Data

From Vision to Value for Decision - Making Insights

08 - 12 Dec 2025

Dubai

| $5950

30 Mar - 03 Apr 2026

London

| $5950

22 - 26 Jun 2026

Dubai

| $5950

12 - 16 Oct 2026

Amsterdam

| $5950

07 - 11 Dec 2026

Dubai

| $5950

Introduction

Big Data as a term is everywhere in every situation but the journey from vision to value is neither short nor cheap. The journey is fraught with risk and other challenges. Combined with these risks is the reality that the story is not about big data but rather the use of Big Data for decision-making insights. The use of Big Data requires high tech and high touch elements

The high tech aspects include technologies, technical software, technical professionals, and other technical / scientific elements. The high touch aspects include human decision making, human responses to the Artificial Intelligence [AI] possibilities, human responses to the automation possibilities, human responses to the machine learning possibilities, and human responses to the business and social changes to the organization and to society. In other words, big data changes everything is not just a catchy phrase.

This GLOMACS Big Data Governance training course shows by example how to consider the governance, management, and use of Big Data. The delegates should be interested in the realities of Big Data and recognize the transformational aspects but need not to be experts in specific tools.

This Big Data Governance training course provides an overview and synthesis of how Big Data must be governed, managed, and used in decision making.

Key Learning Outcomes

This Big Data Governance training course aims to provide those involved in decision-making at all levels with the perspective needed to consider the resource allocation process for Big Data governance, management and uses. The specific objectives are as follows:

To alert delegates to the transformational aspects of the term Big Data is not about data but rather about decision-making
To show delegates several demonstrations of current tools and use cases
To provide delegates with perspectives on the risks and challenges of Big Data
To give delegates the ability to recognize that some data are Bad Data, some data are Better Data, and some data are Best Data
To give delegates perspectives on the Big Data implementation process
To provide a clear understanding of why Big Data cannot be avoided regardless of definition

Training Methodology

This Big Data Governance training course uses an example based approach of different cases and materials requiring discussion among the delegates on their experiences and expectations.

This training course is focused on the recognition of the issues surrounding the term Big Data and applications of Big Data to decision-making.

Delegates will spend part of their time in discussions and part of their time in exploring the hands-on aspect of selected tools.

This Big Data Governance training course will use some technological tools for demonstration purposes. The hands-on aspects require a rudimentary knowledge of EXCEL. advanced knowledge in EXCEL, Power Pivot, Power Map, and Power BI is helpful. Other tools will be demonstrated as well including Tableau.

Big Data Governance: Bad Data or Better Data or Best Data

Who Should Attend?

Organisations that are able to understand the journey of Big Data are better able to make resource allocation decisions for Big Data projects and to make better use of Big Data in decision-making.

Organisations improve overall decision-making as a result of sending their employees on this training course, organisations can expect to benefit from:

An understanding that the issue is bigger than Big Data
Recognize that Bad Data may be present
Understand the need for Better Data
Consider the benefits / costs of moving from Bad to Better to Best Data
Imagine the Data needed to improve decision making
Acknowledge that the Big Data term needs the term Analytics attached
Discover possibilities in tools and thinking for Big Data
Provide insights in many business processes
More emphasis on the human aspects of Big Data
Improved comprehension of the asset labeled Big Data

Learning Journey Breakdown

Introduction to Big Data: Volume, Veracity, Velocity, Variety, and Value
Introduction to Bad Data, Better Data, and Best Data
Bad Data Examples, Implications, and Corrective Actions
Better Data Examples
Best Data Examples
Demonstration of Power BI Compared to other Software
Why Visualization is Paramount?
Lessons Learned on Big Data, Bad Data, and Best Data

Exploration of Possible Cases
Finance Cases
Marketing Cases
Supply Chain Cases
Human Resource Cases
Tax Cases
Fraud and Forensic Cases
Social Media Cases
Block Chain Cases
Auditing Cases
Brainstorming of other Cases

Who owns the data?
Board Roles
Compliance Officer Roles
CEO, CFO, CIO, and other C-suite Roles
Government Roles including GDPR
Best Practices in Data Governance
Review of the Use Cases Compared to the Governance Issues
Demonstrations as Needed

Why the analytics mindset is the key to Big Data?
Why cleaning the data is mandatory?
Why understanding the question is first thing?
Why creativity matters in a Big Data world?
Critical Success Factors for Big Data Success
Key Performance Indicators for Big Data Success
Examining the Cases and Governance for Lessons Learned
Demonstrations as Needed

Big Data is more than Data
How to avoid big data promises as a scam – make it real!
Lessons Learned for Big Data in Your Organization
Lessons Learned for Big Data in Your Unit
Lessons Learned for Big Data in Your Career
What is next?
- Machine learning? Artificial Intelligence? And?

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