In today’s dynamic business world, information is critical and fast information is imperative, shifting much of data analysis from IT to line-of-business responsibility. The age of self-service analytics is here, and the capacity to create and deliver information is growing exponentially. Self-service has great potential, but it also brings challenges of consistency, cohesion, and collaboration.
The once relatively simple world of data warehousing has changed radically in recent years. The trend to self-service BI and analytics substantially increases the number of data stakeholders and brings many challenges for data management and data governance. The big data phenomenon further increases the complexities of data management. In a self-service world we must think about data in an entirely different way – data as a service that is accessed, processed, analyzed, and reported people throughout the enterprise. Self-service data consumers need new data preparation skills to be fully self-sufficient. Traditional data governance methods must be complemented with support for the autonomy and agility of the self-service world. New skills for data cataloging, data curation, and delivering data as a service are essential to realize the opportunities of the self-service age.
The Self-Service Success Skills workshop will cover data preparation, data governance, data curation and cataloging, and how to become a data-as-a-service organization with three days of in-depth, interactive training.
Your Team Will Learn
- Common challenges of data preparation for analytics
- Data preparation techniques to improve both speed and quality of analysis
- Apparent conflicts between governance and self service, and how to resolve them
- Processes, practices, and technologies that enable effective data governance in self-service organizations
- Concepts, skills, and responsibilities of data curation, and how curation works with data governance
- The purpose, content, uses and skills of data cataloging
- The concepts, principles, and practices of data as a service
- How to become a data-as-a-service organization
- BI and Analytics leaders – especially those struggling with the paradoxes of data management in self-service organizations
- Data architects, data integrators, and data governance professionals
- Anyone interested in data as a service and self-service analytics
- Everyone who needs to evolve governance practices to work in the self-service world