Topics Covered in this Chapter
- This chapter is essential reading for anyone interested in managing DaaS projects, as it discusses a realistic approach on how an organization can go about defining, establishing, and maintaining a DaaS initiative for its specific needs.
- It explains the steps to build a DaaS performance scorecard for monitoring the level of DaaS service performance. Monitoring DaaS service performance against service-level agreements (SLAs) ensures that the DaaS program continues to provide long-term business value to its stakeholders.
- The book concludes by providing best practices with respect to data as a service (DaaS) project management and delivery. The benefits of employing AGILE methodology for new data services development as an alternative to the traditional software development life cycle is discussed.
- Adopting these best practices and guidelines will ensure that the DaaS program continues to be useful and relevant to stakeholders over the long term.
Data has always been considered by organizations as a necessary accessory to the core operations of running a business. In spite of this, for many years it was not considered an asset that could be monetized, in and of itself. However, a complete paradigm shift was witnessed with the advent of several on-demand IT services (e.g., Software as a Service). The latest popular wave of on-demand ...