Top 5 Benefits of a Data Warehouse

A data warehouse is a heterogeneous collection of data organized in a unified schema. All the information about the company’s activities is stored in one place. Many people are taking advantage of the data warehouse to analyse and harness the power of data efficiently.

Before we dig deeper about the benefits of a data warehouse, let’s get into the basics of a data warehouse.

What is a data warehouse?


A Data warehouse, also known as Enterprise Data Warehouse is the core component of business intelligence and can be used for data analysis and reporting. It helps organizations to use data strategically and make informed decisions.

It is an environment that provides users with current and historic information to support operations.

In short, the data warehouse syncs data from different sources and analyse it to generate better ROI.

Benefits of Data Warehouse

Having all the data gathered in one place is one of the biggest benefits of a data warehouse. It is a great solution for centralizing your business data. From boosting the efficiency to improving the quality of information – you can make the data work in a better way.

Improved access

For many organizations, the information systems comprises of multiple subsystems that are not only physically separate but built on separate platforms. A robust BI platform can provide an effective data management solution by consolidating enterprise data into a single data repository.

In the absence of a data warehouse, you would need to combine data using different tools to make better and informed business decisions.
If your data is located at a centralized location, it would be easier to analyse the data. For many businesses,

Speed and performance

Business Intelligence (BI) requires high quality and standardized data in real-time for data mining. A data warehouse solves the ongoing problem of pulling data out of transaction systems and converting it into actionable information. Businesses will realize numerous improvements upon successful implementation of the data warehouse.

A data warehouse takes off large system load from the operational environment and distribute the system load across the entire organization’s infrastructure.

Quality and consistency

A typical data warehouse helps organizations to convert data from multiple sources and transforms it into a common format. This approach removes the inconsistency in data from a unique source system. Additionally, individual departments and units of the organization will start to utilize the same data repository for generating individual reports. Consistent reports from various departments of the organization help in understanding the trends and identifying the mistakes.

In short, a data warehouse helps in integrating a high amount of data – eventually reducing stress on the systems.

Time-efficiency

Data warehouse enables the decision-makers in the organization to quickly access crucial information from different sources. Using centralized data, one can make efficient decisions quickly without wasting time in collecting data from multiple sources. As the data is stored in a centralized repository, business executives no longer need support from IT teams to bring up data and execute operations.

High ROI

Implementation of a data warehouse will help businesses generate high revenue and decrease expenses. Data is a strategic asset for your organization that can be trusted only when it is consistent and high in quality. With the increasing demand for AI technologies to automatically generate recommendations from data – data accuracy is vital.

Whether it is on-premises or cloud data warehouse – the right architecture will enable a high return on investment by uncovering meaningful insights.

Conclusion

A data warehouse is a viable option for businesses that want their data to be stored in separate categories. More than 56% of organizations deploy data warehouse technology and get benefits such as – vendor lock-in capabilities, workload management etc.

Get in touch with us to inspect, clean and model your company data to make valuable business-oriented conclusions.