Value-Driven Data Warehousing: Applying Agile Strategies to Increase Information Quality and Use

摘要

In a world of Big Data, advanced analytics, in-memory data warehousing, and real-time business intelligence, the concept of a central enterprise data warehouse seems something from the past. The number of sources, the level of detail, and the volumes of data to which organizations are exposed present enormous challenges to filtering out the relevant information and finding actionable insights. An integrated enterprise data warehouse will provide an anchor point for this diversity of new data and can function as the backbone of reliable customer, operational, and financial information for both steering the company and fulfilling regulatory and compliance reporting requirements. This article recommends a number of techniques and best practices that retain the benefits of a central data warehouse while reducing the expense and lack of responsiveness to business needs and change. This data-focused approach offers a way to define user stories in a complex data warehouse architecture, addressing both application and information value to users and delivering a data warehouse that provides high-quality information and is resilient to change.