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A data warehouse is an environment that combines an integrated decision support database with software to perform extraction transformation loading processes from a variety of operational and external sources. These technologies are combined to support historical, analytical, and business intelligence (BI) requirements.
A business intelligence (BI) process collects, stores, and analyzes the data produced by a company’s activities. BI encompasses data mining, process analysis, performance benchmarking, and descriptive analytics. BI produces reports, analysis, and other supports analytical best practices.
Every data warehouse, business intelligence, and analytics initiative needs a checklist of additional, non-development-centric activities. Every project manager has a checklist of the major activities
Dashboards, scorecards, and other business intelligence and analytics solutions can provide interactive capabilities for users if the business needs dictate Like many business intelligence /
Every organization should identify how to represent the costs and benefits of data warehousing, data marts, business intelligence, and analytical initiatives “Assets are probable future
Every complex program, portfolio, and initiative can benefit from the development of a program roadmap. A roadmap shows the major events, their links, and the
Business Intelligence and analytics solutions often fail if they are not supported by adequate user involvement and adoption. Addressing the causes of user adoption issues
There are challenges that can be encountered in any organization when analyzing data for decision-making. Applying the optimal solution to each analytical challenge can improve
Best practices for staffing any data warehouse / business intelligence /analytics initiative should be followed to ensure success and sustainability. Every major program or initiative
Team management is a crucial factor in the development and implementation of all successful data warehouse and analytics programs. Just as it is important to
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
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,
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,
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
