The impact of information on an organization is changing. In addition to the traditional “efficiency gains” from data strategies, companies are now confronted with high-risk situations (e.g. Sarbanes-Oxley) as well as the need to truly change their business through using information.
At one time, data strategies implied figuring out what kind of mix of information delivery, data quality and repository “stuff” to buy and assemble. Now the data strategy must not only be able to manage and deliver information; it must be a sustainable, business-aligned process that not only manages information assets, but also manages corporate risk.
During this one-day tutorial, attendees will learn how to create a sustainable data strategy. The emphasis will be on business alignment and value, risk mitigation, and designing and deploying a cost-effective, useful data strategy program. We will cover structured and un structured content. Several case studies will be reviewed to provide insight. This class will also cover the underlying frameworks (meta data, business intelligence, etc.) but is not a class in selecting tools or technology.
Session Outline:- Data Strategy vision and alignment
- Designing the architecture
- Defining the most effective delivery framework
- Developing a sustainable road map for implementation
- Business cases for information value management