Data Warehousing

The bulk of your organization’s raw data likely lives in multiple operational systems, logs, and unstructured data sources. A data warehouse (DW) is a centralized location that brings all of that data together and optimizes it for reporting and analysis. Data warehousing is a very mature, well-defined, and structured application of BI.

Extract, transform, and load (ETL) processes are created that copy, clean, and load data from source systems into the data warehouse. A data warehouse implementation often focuses on business processes that generate data. That data is then turned into Key Performance Indicators (KPIs) and other valuable metrics. Once in the DW this data can be easily consumed by many other applications and tools all with consistent results.

The benefits of Data Warehouses are:

Easier and more efficient query writing

Reduced resource contention for operational systems

Ability to easily query across data from multiple source systems

Ability to easily query point-in-time snapshots of historical data

Rigid data quality processes that ensure consistent, trustworthy data

The trade off of a Data Warehouse is that the benefits of performance, convenience, and consistency come at the cost of up-front effort of design and implementation. DWs are evolving databases. Since they are built around business processes, and BI’s goal is to improve them, DWs change with improving business processes thus require a continual investment.

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With our “hands-on” approach, we offer customized solutions for both public and private corporations of all shapes and sizes. Our vast expertise in international structured development and project management helps us assist you develop your business strategy and organization, and more.

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