Improving Data Accessibility
Clearly, the advent of increasing data volumes, the desire to take advantage of high-performance business intelligence (BI) and analytics architectures, and the broadening community of knowledge consumers all contribute to the need for reusing and repurposing data in different business processes and applications. However, there are two core concepts anyone developing BI and analytics applications requiring data reusability will need to be aware of: accessibility and latency.
Most applications developed to support siloed or business function-related processes are built with the presumption that the data sets are persisted in some system organization. Whether that organization ...