Know-how for successful self-service initiatives
- Practical guide to enterprise-wide adoption of self-service
- Focus on the conception and governance of self-service
- With impulses, what to consider in an ongoing self-service organization
Self-service in the BI and Analytics context means BI users themselves become active to access specific data and information products. The possibility of self-service depends on environmental factors, not individual tools. Data literacy is required in order to use the data. Self-service is thus to be understood as a strategic process that as part of the data strategy always follows the corporate strategy and requires a culture of transparency and open communication.
This book provides a comprehensive introduction to the basic concepts of self-service BI & Analytics. It describes the current common approaches with a focus on the conception and governance of self-service. In addition, solutions for specific use cases are presented. In detail, the following are treated:
- Self-service planning: What to consider before the adoption of self-service in the context of a holistic data strategy, organization, and enterprise architecture? What governance requirements need to be considered?
- Self-service implementation: The development and operation of self-service solutions are demonstrated as well as positioning against shadow IT and avoiding technical debt.
- Organizing self-service: BI communities, employee training, and establishing a self-service culture in the company play an important role here.
The book provides valuable insights and helpful suggestions for the successful introduction and realization of self-service initiatives in corporate practice.