Affiliated with:
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.
A pilot or prototype for business intelligence or analytics provides an opportunity to demonstrate success, value, and proficiency. The success of a pilot project is
Many data integration and analytics efforts use source-to-target mapping to identify data and related metadata. Developing a Source-to-Subject mapping can be an alternate approach High
Every business intelligence and analytics initiative needs access to the source data. This can be a complex task, but there are ways to make that
Every organization needs a plan for business oversight of all data warehouse / business intelligence / analytics efforts. There are certain areas that should be
ETL is changing to ELT. This is important since data preparation remains one of the toughest obstacles that a data-aware organization must overcome. Consider these
Scalable business intelligence and analytics environments, including data warehouses, support increasing numbers of users, data access, and advanced analysis methods “Scalability” is defined as the
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
