A data warehouse can be defined as a set of tools and methods used in different industries to store, analyze and access information.
Organizations use different types of technologies to store information and make it available to users, such as management software, scanners and cloud based systems.
Today, there is hardly any organization that does not use some form of data warehouse. From Google drive to cloud management software, the service is present in small, medium and large enterprises.
As we have already explained, almost every company can now benefit from data warehouse. Here are some examples. Take a look.
Ecommerce has grown significantly in recent years, mainly due to the restrictions imposed by the Covid-19 epidemic. People are increasingly used to shopping online, in which data plays an important role.
Data warehouse is very important for those responsible for e-commerce. Information provided by customers can be used to improve marketing strategies, for example by making them more targeting and personalized.
Data Warehouses are often used by retailers such as clothing stores, supermarkets, pet shops and pharmacies, among others.
In these businesses, data warehouse systems can be used to update stock levels, identify which products are selling best to avoid stock-outs, etc.
Not to mention customer data, which can be used to create personalized shopping experiences and marketing and PR strategies.
Industries in many different segments can use data warehouses for their business. They can be used to store customer data, track orders, ensure necessary production, etc.
In addition, prototypes and product designs can be stored according to advanced security protocols. This prevents them from falling into hands of competitors.
In the healthcare sector, data warehouses are also very useful to optimize processes. Among other things they can be used to capture patient data, making the work of doctors, nurses and other professionals easier.
As patient data is stored in the cloud, nurses can easily access medical records and see, for example, which medications doctors have prescribed for each user.
In addition, such measures make it easier for the administration to keep track of everything and for health insurers to charge the right costs.
5. Educational Institutions
Educational institutions such as schools, colleges and universities often use data warehouse systems.
In education, teachers can use this software to stream video lesions, e-books, podcasts and other distance learning materials.
It can be used to digitally receive students homework, track class attendance, assign grades, etc.
It’s probably not farmers who think about big data first. But data warehouse is now critical to agriculture, and will become even more so as weather forecasting and soil productivity improvements become essential to feeding a growing world population.
7. Property And Land Management
Real estate companies use big data to better analysis trends and better understand their clients and markets.
Similarly, property management companies use data collected from building systems to optimize operations, identify problem areas and improve maintenance processes.
In the insurance sector, data warehouses are essential for maintaining and analyzing existing customer records to identify customer trends and take further action on business.
The use of data warehouses in the financial sector is the same as in the banking sector. The right solution will help the financial sector analyze customer spent and develop more effective strategies to maximize profits for both parties.
In the service sector, data warehouses are used to manage customer data, financial data and resources to analyze patterns and make decisions for positive outcomes.
With powerful data warehouse solutions, transport companies can collect all their location data under one roof to anticipate market changes, analyze current passenger behavior, track demand for transport services and ultimately make effective decisions.
12. Production And Natural Resources
In the natural resources sector, data warehouse enable predictive modeling to support decision making by extracting and integrating large amounts of spatial, graphical, textual and temporal data. Applications include seismic interpretation and reservoir characterization.
Data warehouses are also used to solve continuous production problems and gain competitive advantage.
With a great data warehouse solution, bankers can manage all available resources more efficiently. They can better analyze customer data, government regulations, and market trends to make better decisions.
These are just a few examples of companies that benefit from data warehouses. Many companies can rely on this technology to streamline and optimize their operations.
We have to remember that we live in a world of “offices everywhere”, which means that work is done everywhere. This is why data warehouse software is booming and businesses are using it more and more.
How Existbi’s Data Warehouse Consulting Can Benefit Your Business?
Existbi can help you improve your brand’s presence in the digital competitive landscape. We provide your business with a dedicated data warehouse solutions that eliminates the complexity of data and delivers insights that help your business grow.
If your company struggling to manage large volumes of data, making it difficult to consolidate data, there’s no better solution then cloud data warehouse technology.
If your company falls any of the areas mentioned above, data warehouse consulting is a good investment.
With Existbi’s data warehouse training, you can bring all your data under one roof become a truly data driven business. Our Cloud, Hybrid and On-premise Data Warehouse Solutions help you collect data from multiple sources, transform it into a manageable format and upload it to your data warehouse. This will give you a clear picture of your business processes and the market in which your business operate, and help you make better decisions.