In today’s dynamic business world, getting information fast is imperative, shifting responsibility for much of data analysis from IT to lines of business. 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.
This trend toward self-service BI and analytics, as well as big data, substantially increases the number of data stakeholders and brings many challenges for data management and data governance. In a self-service world we must think about data in an entirely different way: as a service that is accessed, processed, analyzed, and reported by 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
- Computers with Excel and a text editor are needed for some portions of this content
- The exercises are done as group work so it is not necessary for each individual to have a computer but every group will need to have at least one
- The ideal group size is 4 to 5 people