Benefits of a data Warehouse

Identify historical trends

Data warehouses deliver enhanced business intelligence

Your managers can make fast decisions based on credible facts supported by organisational data. They can query actual data at will to resolve their personal questions. Data warehouses and BI tools can be used to investigate marketing segmentation, inventory management, financial management, and sales decisions.

Data warehouses save time

Decision makers can quickly access centralised, collated data from multiple sources to rapidly make informed decisions. And because the IT department is not required, businesses make additional savings on staff time – and free up their IT team to make more valuable contributions than running endless queries.

Data warehouses improve data quality and consistency

During a data warehouse implementation, disparate data from numerous source systems and data files is converted into a common format. And because finally, all departments are using the same data for their reports, information will be consistent right across the business. Staff will now have confidence in the accuracy of the data they are basing their decisions on.

Data warehouses provide 20/20 hindsight

A data warehouse can store huge amounts of historical data, enabling advanced business intelligence analysis of different time periods and trends, which allow future predictions. A transactional database is not normally able to store this amount of data, and a transactional system cannot usually generate trend reports.

Data warehouses eliminate information silos

Common and consistent information brings coherence to the way an enterprise is managed. Users can quickly access accurate, real-time information, and collaborate effectively using shared information across departments and divisions.

System-wide changes can be made instantly from one location and it’s easy to implement a higher level of security around usage and information flow.

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Q&A

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What are benefits of data warehouse?

One of the biggest benefits is that you can archive your data to a data warehouse. This can keep your main "production" database smaller which can provide some performance benefits. Also you can use the data warehouse to run complex queries and data-mining without adverse effects on the performance of your "production" application.