The outcome of big data analytics projects will only be as good as the quality of the data being used. Good information governance practices help ensure the success of big data initiatives by performing triage to distinguish 'good data' from 'bad data.' This session will help you strike the balance between minimizing clutter and risk and optimizing the potential for business insight through big data analytics.
Learning Objectives:
Upon completion of this session, you will be able to:
- Analyze where your organization falls on the CGOC information governance maturity mode
- Explore steps your organization can take to discern 'good data' from 'bad data' and improve its position on the CGOC information governance maturity model
- Develop a process to anonymize your big data analytics results
- Develop strategies to maximize the value of unstructured information by putting it to work in big data analytics systems
- Apply methods to ensure that the information you leverage in your analytics project is relevant, complete, and trustworthy
