Starting with an overview of quality software, this text identifies potential threats associated with software developments, explains how to establish an effective risk management programme and details six critical steps involved: asset valuation, security threat identification, security and control testing, safeguard assessment, economic value analyses and reiterative procedures. It also discusses various software metrics approaches used to measure software quality.

This informative book goes beyond the technical aspects of data management to provide detailed analyses of quality problems and their impacts, potential solutions and how they are combined to form an overall data quality program, senior management's role, methods used to make improvements, and the life-cycle of data quality. It concludes with case studies, summaries of main points, roles and responsibilities for each individual, and a helpful listing of "dos and don'ts."