Defining the optimal organizational structure for a data warehouse, business intelligence, analytics program is a critical success factor that starts with the proper foundation. There are many ways to build IT and business organizations that support data warehousing / business
Data provides more reliable insight into organizational outcomes than intuition alone can. That’s why most managers build dashboards to monitor their sales pipeline, revenue generated, and churn rates: to get real-time updates on their team’s overall progress. While those are
Knowing the origins of logical and physical data modeling concepts and techniques can help data architects and data analysts understand the field of data management and the relationship between data modeling and other data disciplines In the early days of
A variety of methods can deliver information across an enterprise, including ad hoc and on-demand reports, dashboards, and analytics capabilities. Most data warehouse environments offer users a variety of information sources. Architectures can contain data staging areas, operational data stores,
Many organizations want to adopt data management capabilities to current business functions, but do not know how to do that. One proven approach combines techniques from finance and data management. There are many discussions within various business departments about the
Not all business intelligence / analytics efforts must be large, multi-phased initiatives. Small, focused, quickly completed projects can provide lasting value to any organization. Small, focused analytical efforts can be of great benefit to an organization. Often, they are used
Industries with broad and deep data collections, such as healthcare, require extensive business intelligence and analytical solutions to address their decision-making needs. Most healthcare providers (hospitals and insurers) are building, installing, or enhancing data capture systems. Many are focused on
