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Data Warehousing and Business Intelligence

Your organization is a data generating machine. This world is a data generating machine. Data is generated and stored every time someone uses an ATM machine, checks out at a grocery store, creates a purchase order, delivers the order, and so on.

But what good is all that data if your organization cannot organize them, analyze them, and exploit them to make better business decisions? This is where Business Intelligence comes in. BI systems provide an interactive process of analyzing and exploring structured data to discern trends and patterns, in order to help predict the future impact of current decisions. These systems place a key role in strategic planning process of the corporation.

A business intelligence data warehouse architecture has three main layers shown below.

The Business Intelligence Architecture

Data Integeration: This layer deals with extracting data from a wide variety of in-integrated source application systems into a single integrated and well-structured data warehouse. Because of the number and variety of source systems from which an organization typically needs to extract data, this layer is a very daunting challenge in any successful BI implementation. Learn More.

Business Intelligence Platform: This layer serves as the technology foundation to support comprehensive enterprise reporting and analysis solutions. This layer hosts the analytical engine that allows a user to build reports and metrics, and perform advanced statistical analyses of the underlying data. Learn More.

BI Deployment and User Access: The deployment layer provides a highly interactive, functionality-rich interface that an end user can access for ad-hoc reporting and analysis. It will also provide a way to push the reports and analyses out to users via email and other wireless tools. Learn More.