Big Data Governance bad Data or Better Data or Best Data
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he most valuable commodity I know of is information, Gordon Gekko, Wall Street.
As Big Data becomes the most valuable asset in the 21st century and, as the media presents it becomes more valuable than oil, professionals involved in the big data realm have the obligation to avoid the pitfalls of oil price variability and sudden hikes and crushes, therefore they need to be able to identify the bad data and separate it from the best data, at the same time applying big data analysis techniques.
This Oxford training seminar will present synthesis of principles how Big Data must be governed, managed, and used in decision making.
Specifically, you will learn to:
- Understand the possibility of bad data existence
- Consider the benefits / costs of moving from Bad to Better to Best Data
- Apply technical skills to preform big data analysis
- Discover possibilities in tools and thinking for Big Data
- Provide insights in many business processes
- Sustain the value of Big Data trough appropriate governance, management and usage
- Learn the five V of Big Data: Volume, Veracity, Velocity, Variety, and Value
- Identify Bad Data Examples, Implications, and Corrective Actions
- Insights of Microsoft Power BI
- The examples of successful uses of Big Data
- The examples of failures of Big Data use and how to avoid them
- The principles of Big Data Governance
- The influence of analytics mind-set on the success of Big Data applications
- Learn from the experiences of others
Who should attend
- Professionals whose jobs involve decision making using any and all kinds of data
- Data Scientists
- Data Analysts
- Compliance Managers
- Operation Managers