Big Data Governance: Bad Data or Better Data or Best Data - Virtual Learning
Course 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.
Course Objectives
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
Target Audience
This Gulf Rowad Big Data Governance training course has been designed for professionals whose jobs involve decision making using any and all kinds of data. This training course involves extensive thinking about and examining issues to solve complex and ambiguous problems where Big Data may provide insights for improved decision-making.
This Data Management & Analytics training course on Big Data is intended for delegates who have an interest in exploring the high and high touch environment needed to move from vision to value with BIG DATA.
Target Competencies
Organisational Impact
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
Personal Impact
Participants will each gain extensive awareness, and understanding that has direct relevance to a wide range of business issues, specifically delegates will acquire:
- New ideas regarding the governance, management, and use of Big Data
- Demonstrations of tools that stimulate ideas for use
- An understanding of how and when to seek better data or best data
- Knowledge of current governance practices
- The ability to recognize and appreciate the uses of Big Data
- Sufficient strategic knowledge to identify when Big Data resources are needed
Course Outline
Big Data
- 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
Big Data Use Cases
- 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
Big Data Governance
- 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
Big Data Successes and Failures
- 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 Takeaways
- 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?
2026 Schedule & Fees
| Date | City | Language | Price | Action |
|---|---|---|---|---|
| 28 Jun - 02 Jul, 2026 | Online | English | USD 2,000 | Book |
| 28 Jun - 02 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | English | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | English | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | English | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | English | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | English | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | English | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | English | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | English | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | English | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | English | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | English | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | English | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | English | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | English | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | English | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | English | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | English | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | English | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
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