Big Data is used in every situation, but the path from vision to value is neither quick nor cheap. The journey is fraught with danger and other difficulties. In addition to these risks, the reality is that the story is about the use of Big Data for decision-making insights rather than big data itself. The use of Big Data necessitates both high-tech and high-touch elements.
Technologies, technical software, technical professionals, and other technical/scientific elements are examples of high-tech elements. Human decision-making, human responses to Artificial Intelligence [AI] possibilities, human responses to automation possibilities, human responses to machine learning possibilities, and human responses to business and social changes to the organization and society are examples of high-touch aspects. In other words, BIG DATA changes everything and is not just a catchy phrase.
This training course demonstrates by example how to think about governance, management, and Big Data use. Delegates should be interested in the realities of Big Data and understand its transformative potential, but they do not need to be experts in specific tools.
This BIG DATA Governance training course provides an overview and synthesis of how Big Data should be governed, managed, and used to make decisions.
This 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.
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 the definition
This training course employs an example-based approach with various cases and materials that encourage delegates to discuss their experiences and expectations.
This training course focuses on recognizing the results of the term Big Data and applying Big Data to decision-making.
Delegates will spend some time in discussions and some time exploring the hands-on aspects of selected tools.
For demonstration purposes, some technological tools will be used in this training.
The hands-on aspects necessitate a basic understanding of EXCEL. Advanced knowledge of EXCEL, Power Pivot, Power Map, and Power BI is also beneficial. Other tools, such as Tableau, will be demonstrated as well.
Organizations that can 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.
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
Accommodate penetrations into many business processes
More importance on the human aspects of Big Data
Enhanced comprehension of the asset labeled Big Data
New ideas regarding the governance, management, and use of Big Data
Explanations of tools that stimulate ideas for use
Awareness of how and when to seek better data or best data
Understanding 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
This training course has been created for professionals whose jobs require decision-making using any kind of data. This training course involves extensive thinking about and examining results to explain complex and ambiguous problems where Big Data may provide penetrations for developed decision-making.
This training course on BIG DATA is intended for participants who have an interest in investigating the high and high touch environment required to move from vision to value with 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
Exploration of Possible Causes
Finance Cases
Marketing Cases
Supply Chain Cases
Human Resource Cases
Tax Cases
Fraud and Forensic Cases
Social Media Cases
BlockChain 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 the 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?
