Many organizations have previously modified their data warehousing using legacy data warehouse integration systems. However, an essential step in the data warehouse integration must be simplified.
As the management and integration of data warehouses becomes increasingly complex, the right solution must be found to speed up the process. By rethinking data warehouse integration, you can streamline operations, reduce repetitive changes, speed data replication, increase scalability, and reduce costs.
What is Data Warehouse Integration?
A data warehouse is a single repository of extracted, transformed, and loaded (ETL) data from operating systems such as web services, databases, and applications. Data from multiple data warehouses or data warehouses and other data sources are combined into a single data model through data warehouse integration. It combines data from different departments, business units, or geographic areas, enabling interoperability analysis and reporting, facilitating data management and consistency, improving data quality and consistency, and reducing storage costs and redundancy.
How Does Data Warehouse Integration Work?
Employees enter data into the organization’s tracking system during their everyday work. When new data is entered into the system through the data warehouse integration, it is processed, merged with the data already in the data warehouse, and finally merged according to a predefined set of rules. This data can then be accessed and used by other applications, giving all employees the most up-to-date and accurate information about the company when interacting with customers. On the other hand, the data warehouse can directly process all data entered by an employee during customer interaction and use it in different enterprise applications.
5 Key Benefits Of Data Warehouse Integration
Data warehouse integration offers several benefits in data management and is an easy way to put an organization at the heart of its e-commerce. These benefits include:
#1. Improved Business Intelligence
Gather more relevant data about your e-commerce business from a variety of sources. As new data is constantly compared with historical data, you can use multiple data sources to improve your e-commerce business intelligence.
Once your data warehouse is set up and data integration processes are optimized, your data will be harmonized and ready for analysis. You and other decision-makers can make better-informed decisions with up-to-date business intelligence and high-quality data.
No longer will you be able to make critical business decisions based on inaccurate or outdated information? By improving your BI system, you can use it for other activities such as segmentation, sales, inventory management, and targeted marketing.
#2. The Right Data Anytime, Anywhere
Historical data is not only clean, it’s up-to-date. This consistency enables managers and analysts to work more efficiently and provides increasingly accurate information on various issues, including business processes and sales techniques.
Accurate historical data can gauge business needs and identify periods when the online store has performed well and fallen short of expectations. You can better predict future events and identify mistakes before they damage your business.
Current data is transformed into historical data, and you can gain insights that can unburden your entire business ecosystem. Once all data is available in the warehouse, it no longer depends on SSIS packages and physical servers.
#3. Excellent ROI
Storing extensive data can be expensive, but the long-term benefits outweigh the initial investment. When you start moving your data to a data warehouse, you may be concerned about the cost, but you’ll soon realize how a deeper understanding of your data sets can help your business grow.
#4. Saving Time
Another benefit of data warehouse integration is that it can streamline the data flow in your decision-making process. By gathering important information in one place, you can make decisions faster that could be critical to the success or failure of your business. Relying less on IT tools to get the needed data will reduce the time it takes to make crucial decisions.
#5. Overall Efficiency Gains
Large data stores and the speed with which queries can be executed are key benefits of data warehouse integration, as they expedite the collection and analysis of relevant data. The operating system can only generate and process data, while data warehouses can focus on data collection and analysis.
The simplified templates offered by the data warehouse make it easy to create customized reports based on company data. SQL functions also optimize database speed.
Data warehouse integration allows you to do more with less.
Summary
A sizeable relational database is called a data warehouse. However, everything depends on the processes that ensure seamless data integration. The main steps in this process are data import, data integration, and data transfer to BI and analytics tools.
Existbi simplifies data warehouse integration by reducing fragmentation and silos in the data environment. Existbi’s robust and easy-to-use interface ensures that data is relevant, consistent, and accessible, enabling you to make informed decisions and gain a competitive advantage in today’s data-driven marketplace.
