Data Quality and Standards

This chapter explains the role of data standards for the success of any DaaS program and provides an overview of how to ensure that the quality of data published by enterprise data services is suitable and fit for public consumption. It provides details on how use of data discovery and profiling tools can be useful for organizations in assessing the quality of data received from incoming data sources. The benefits of introducing new data quality standards and significant productivity benefits and cost savings need to be communicated across the organization regularly. Data profiling tools help to conduct a physical assessment at the outset of publishing a data service. Most organizations use data profiling tools to assess how good the quality of data is in legacy systems storing pieces of current enterprise data. The chapter presents the benefits of using a metrics-driven approach to improve the quality of a data service.