A data warehouse is a database used primarily for analysis and reporting. For business analysts and other users, it provides a central repository of accurate business data from which timely analytical information can be extracted to inform day-to-day business decisions.
The data warehouse is the foundation of the business intelligence system. Over time, the combined evolution of traditional systems and new technologies has led to many changes. In this blog, I’ll address the most common questions and answers about the data warehouse that you’ll need to explore in 2025.
#1. What Motivates A Business To Implement A Modern Data Warehouse?
Today, we all know there is such a variety of data that can be used to facilitate better business decisions. In turn, there is invaluable knowledge in this. Businesses want to profit from it. The corporate world is becoming more and more complex as a result of digitization, so more and more decision-making tools are needed.
#2. Are There New Techniques That Can Be Used For Data Warehouse?
Many modern techniques support data warehousing. For example, Data Vault in connection with a relational database is becoming increasingly important if changes have to be made frequently in the database. Especially since the necessary computer capacities are no longer a problem today.
The Data Lake comes into play when new types of data, such as sensor data or qualitative information, are to be processed. Then it is a matter of recognizing patterns or trends. These need to be related to known data, which again requires a Data Warehouse.
Customization of data is a classic Data Warehouse task and the basis for all predictive processes. ERP systems are not designed for this. Thus, the interaction of data warehouse and data lake becomes a basis for predictive maintenance or predictions about customer behavior or customer churn, for example.
#3. What Role Does A Modern Data Warehouse Play In Digitization?
When more and more processes are digitized, the amount of information to be used increases exponentially. This could be sensor and machine data, extensive image/audio files, or user information from the web.
Business departments are recognizing the new possibilities for analysis. AI-driven systems also bring new requirements. They would need to learn their cognitive capabilities. This also requires comparison with the past, with certain systematic patterns or profiles derived from stored information.
#4. How Efficient Does A Data Warehouse Have To Be Today?
For many businesses today, a highly available data warehouse is crucial. After all, they want to be able to quickly use the ongoing analysis in their day-to-day activities to make decisions.
The strategy that companies ultimately choose always depends on their needs, and, in most cases, on their budget. The task, the user, and the area of application determine whether it will be real-time processing.
#5. How To Get The Best Out Of Data Warehousing?
It is better to run the Data Warehouse on its infrastructure. Then, other systems, such as the ERP, are not burdened either.
There are two criteria for the best performance:
First, good preparation of the database.
Second, hardware that is optimally configured for the Data Warehouses. Both play an essential role.
#6. How Do I Know If My Organization Needs A Data Warehouse?
Your organization may be in need of a data warehouse if it meets the following three common characteristics.
a. A competitive industry that competes in a competitive market.
c. Your organization has a huge amount of data.
b. Also, it is difficult to aggregate the highly dispersed data into one place.
If your organization fits this profile, it could benefit from implementing a data warehouse.
#7. Do User Expectations From Data Warehouses Have Changed?
In general, you can already say that users are more demanding today. Today, no one wants to wait long for reports. And there are many more areas of application that benefit from good evaluations. Users are also becoming more imaginative.
Thus, the number of requested evaluations is increasing, mostly with the desire for availability in real-time.
#8. Is It Even Worthwhile For Businesses To Modernize An Existing Data Warehouse?
As we can already see that larger unstructured data volumes, more users and queries, and changed research modes are pushing older data warehouses to their limits.
But it’s always worth taking stock and defining the new requirements for a modern data warehouse. In most cases, it’s not about a radical new start. It’s more about complementing existing solutions and architectures. There are many new tools to extend a data warehouse, even for small companies.
#9. Does A Lot of Data Mean A Lot Of Knowledge?
The largest amounts of data don’t help at first. They have to be made available and usable, and only then can you achieve targeted results. In the past, evaluations from the data warehouse were mostly reserved for management, but today, there are many more users from the business departments.
Not only in control, but also increasingly in sales or making, or even in production. There is no area that can no longer benefit from it.
#10. How Can A Data Warehouse Consultant Help Businesses?
A data warehouse consultant can bring their many years of experience and expertise to businesses that are new to deploying the system or want to improve the performance of an existing system. They can not only help you adopt a new system but also help you with testing and implementation.
A data warehouse consulting company will accompany the project or even take over the project management. For many businesses, data warehouse services have been playing a supporting role for many years.
Finally, data warehouse consulting provides a link between the requirements of the business users and the IT.
Contact our data warehouse consulting service to bring the best out of your customers’ data.
