Application scenarios for a data warehouse: Getting the best out of Big Data

Application scenarios Data Warehouse

Today, almost every company produces vast amounts of data from a wide variety of IT systems. Whether accounting, production, sales or marketing – the amount of data produced is constantly increasing. For companies to gain insights from this data, it must be collected, homogenized, structured and held centrally. A data architecture that is now considered a standard in the field of business intelligence is ideal for this purpose: A data warehouse (DWH) is a centralized database that combines structured data from various sources and optimizes it for analytical purposes. It is often used for business intelligence, reporting and data analysis. A data warehouse follows a fixed schema that is defined and designed in advance. At the same time, it offers clear structures and enables fast queries and aggregations. We have discussed which functions and advantages and disadvantages a data warehouse offers in this comparison . Today we want to look at the question in which areas a data warehouse is used?


  1. Business Intelligence and Reporting:

As mentioned at the beginning, a data warehouse forms the foundation for business intelligence (BI) and reporting activities in particular. It enables organizations to collect, cleanse and integrate data from disparate sources. This way, meaningful reports and dashboards can be created afterwards. The DWH supports decision-making at all levels of the organization, from management to operational staff, by providing easy-to-understand information to help optimize business processes.


  1. Trend and pattern recognition:

What usually is difficult to accomplish in individual IT systems becomes possible by aggregating the data in a DWH: By centrally storing and integrating large amounts of data from different systems, trends, patterns and correlations can be identified. This is particularly beneficial for sales, marketing or product development. For example, seasonal patterns or popular products or categories can be identified and their inventory planning and marketing strategies adjusted accordingly. By automatically segmenting customers, marketing offers can be made that are tailored to their needs. In the area of production planning, a DWH helps to identify patterns regarding demand and thus the product life cycle. Just as important is the recognition of moods and trends in online and social media marketing.


  1. Budgeting and financial analysis:

Finances are the foundation of a company. Especially in the area of controlling, a data warehouse can be a great support. Within a company, cost centers and expenses are incurred in all areas. Getting an overall view of this data is often a very tedious task. The DWH can capture, consolidate, and analyze financial data, enabling the creation of detailed budget plans, monitoring of expenses, analysis of cost structures, or identification of potential savings. Financial analysts can thus make informed decisions and improve the financial well-being of the company.


  1. Risk management and compliance:

In industries such as financial services or healthcare, risk management plays a key part. A data warehouse can help create risk profiles, identify potential risks, and meet compliance requirements. By consolidating and analyzing data sources, organizations can meet legal and regulatory requirements, detect fraud, and ensure that business processes meet mandatory standards.


  1. Enterprise-wide data management:

A data warehouse provides the foundation for enterprise-wide data management by integrating data from different business units and sources. This in turn facilitates data access and consistency across different departments. In this context, data warehouses can serve as a single source of truth by providing a consolidated and trusted database.


A data warehouse provides a rock-solid foundation for data analysis and decision making. The application scenarios mentioned here are just a few examples of the versatility of a data warehouse. Regardless of the industry, a well-developed and effectively used data warehouse can help you make your processes efficient, improve your competitiveness, and gain strategic advantages. The initial implementation of a DWH is, however, associated with financial and personnel costs. But it’s an investment that will pay off in the long run and help you make data-driven decisions.