Topics Covered in this Chapter
- This chapter looks at the significance of enterprise data and the foundational role it plays to make enterprise data services successful in any organization.
- Underlying principles of data asset management and why companies need to treat data as a corporate asset are explained. Major types of enterprise data and their features are also examined.
- The significance of enterprise information management are discussed along with the role it plays in improving data quality within an organization over the long term.
“Data really powers everything that we do.”
—Jeff Weiner, CEO of a leading business-oriented social networking service
Chapter 2 explained the underlying factors that can drive organizations to deploy the Data as a Service (DaaS) framework to enable their businesses. This framework helps users conduct analysis for business decision-making by leveraging enterprise data.
Successful adoption of DaaS is based on three factors: the quality of data and content, underlying architectural principles used for management, and real-world experiences of how to distribute them to consumers in an effective manner.
An emphasis on sharing enterprise data is an underlying tenet of the DaaS framework, as opposed to maintaining silos of published data. This chapter provides a detailed overview of the major categories of data that can be considered significant and shared across the enterprise including master data, reference data, ...