Data Warehouse & Business Intelligence – Create value with your data
Get control of your data, optimize the decision-making process and create growth with a tailored solution within Data Warehouse and Business Intelligence.
From raw data to strategic insight
Data is the key to the future, but how is your data collected and utilized?
With a centralized solution, you gain in-depth insight into your business. The data is transformed from “raw data” into usable data that you can use to optimize your business. When all data is collected in one place, you can extract aggregated information and have it presented in clear graphs and charts.
We help you transform raw data into meaningful analyses that support your strategic decisions.
What is a Data Warehouse?
A data warehouse is a central platform where data from many different sources, such as CRM systems, ERP solutions, social media and external data sources, is collected and processed. The solution allows you to consolidate information in one place, so you can easily get an overview of your business.
This centralization distinguishes a Data Warehouse from traditional databases, which primarily handle daily transactions. Instead, a Data Warehouse is designed to support complex analysis and reporting over time.
In a Data Warehouse, data is extracted via an ETL (Extract, Transform, Load) process, where raw data is transformed into a uniform and usable format. The result is a solid foundation where you can track historical trends, identify patterns and get a holistic view of your business. With a well-functioning Data Warehouse, your data becomes a strategic asset that supports both tactical and strategic decisions, and makes it possible to respond quickly to changes in the market.
Data Warehouse Architecture
The structure – or architecture – behind a Data Warehouse plays a crucial role in how effectively the system can integrate, process and present data. A well-designed Data Warehouse architecture ensures that the data flows correctly from the source, through the ETL process and on to the reporting and analysis tools you use.
The architecture typically includes layering, where raw data is first collected and then transformed and optimized before being made available to users in the form of dashboards and reports. By having a flexible and scalable architecture, you can easily adapt the solution as your data needs grow.
Why should you aggregate your data sources?
Diversity of data sources
As a company, you typically have data coming from several systems, such as CRM, ERP, social media, e-commerce systems and your supply chain, each of which may be structured differently.
Increased data quality and consistency
Central processing of data reduces errors and inconsistencies, so you can trust the analyses that form the basis of your decisions.
Creation of comparable data
When data comes from different sources, it is often disparate. By bringing it together in one Data Warehouse, you can standardize and harmonize the information so that it is comparable and ready for in-depth analysis.
One platform for valid data basis
By centralizing all your data, you gain a robust foundation from which you can draw updated and consistent data, which is essential for both tactical and strategic decisions.
Importance of the ETL process
The data is retrieved from the individual sources, transformed via an ETL (Extract, Transform, Load) process and loaded into the Data Warehouse. This process ensures that the data is accurate and consistent.
Scalability and future-proofing
A centralized platform can be easily adapted and expanded as your data volumes and business needs grow.
Reduced complexity
By collecting data from different systems, you avoid redundancy and duplication of work, which simplifies both the maintenance and operation of your data environment.
What is Business Intelligence?
Business Intelligence (BI) encompasses the methods, tools and processes that enable you to analyze and visualize your data. This gives you both the visual and analytical tools that make it easy to understand and communicate complex information.
A good Business Intelligence solution typically consists of dashboards, reporting tools, and data visualization software that together form an integrated solution for monitoring and analyzing your business data. This enables you to identify trends, evaluate performance, and make decisions based on facts rather than gut feelings.
By leveraging Business Intelligence, you can see how different parts of your business influence each other and which areas have potential for optimization. In this way, BI becomes a central driver that supports your strategic initiatives and helps you stay one step ahead of the competition.
Opportunities with Data Warehouse & BI
An effective Data Warehouse & BI solution is based on unifying your data sources and ensuring that information flows freely between systems. Data is retrieved from different sources and undergoes an ETL (Extract, Transform, Load) process, where the data is transformed into a format that is ready for analysis.
An integrated solution with Data Warehouse and BI opens up a number of business opportunities where you can:
- Gain a complete overview of your processes and identify bottlenecks
- Improve your decision-making with updated and consistent data
- Develop targeted strategies that support growth and innovation
Get started with Data Warehouse & BI today
Create a digital transformation with a Warehouse and BI solution that creates a strong foundation for important decisions, strategies, and workflows.
Contact itpilot today - we are ready to advise and create the solution that makes sense for you.
Call us if you would like further information on developing your Data Warehouse and BI solution
+45 87 25 07 87
What can you use a Data Warehouse and Business Intelligence for?
An integrated Data Warehouse and Business Intelligence system opens up a wide range of application possibilities that cover all departments in your company. By collecting data in one place, you get a comprehensive overview that enables you to make better decisions and optimize processes. Here are some of the most important application areas:
Improve financial reporting with real-time data, strengthen budget monitoring, and identify cost savings through detailed analytics.
Gain deep insights into customer behavior, target campaigns, and optimize sales strategies with data that reveals market trends and customer preferences.
Identify bottlenecks, optimize inventory management, and improve logistics by integrating data from across the supply chain.
Improve customer experience by analyzing customer satisfaction, monitoring service quality, and responding quickly to feedback.
Monitor employee performance, identify training needs, and optimize resource management by analyzing data on staff activity and well-being.
Leverage data to identify trends, improve product quality and manage innovation processes so you can constantly adapt and develop your products.
Gather data across departments to gain a holistic view that supports long-term strategic initiatives and ensures that all decisions are made on a solid data foundation.