W4i – System-independent integration and automation

W4i is easy to maintain and is designed for expansion.

The system is continuously updated and always uses the latest available versions and standards.
W4i is the engine of our integrations, and it can exchange data with customers, suppliers, or other internal or external data systems.
W4i’s benefits include:
• Digitalization and automation of manual processes
• Full integration with a variety of systems, regardless of IT system, platform, or standards
• EDI streamlines trade
• Easy customization to new systems, formats, and message types
• Efficiency leads to reduced costs
• Removes manual and tedious tasks and eliminates human errors
• Secure and efficient message flow is ensured through time management, advanced logging, backup, and alerts
• W4i logs all data exchanges and alerts you of any discrepancies

Various integration options

Discover the perfect integration type to seamlessly connect your diverse systems.
• API
• Webhooks
• File-based

Know More

ETL

ETL stands for Extract, Transform, and Load. It is a data integration process that combines data from multiple data sources into a single, consistent data store that is loaded into a data warehouse or other target system.

Extract

1. Extract: The first step is to extract the data from the source systems. This can be done using a variety of methods, such as using JDBC connectors, APIs, or file transfers.

Transform

2. Transform: Once the data has been extracted, it needs to be transformed into a format that is compatible with the target system. This may involve cleaning the data, correcting errors, and converting it to a different format.

Load

3. Load: The final step is to load the transformed data into the target system. This can be done using a variety of methods, such as using SQL inserts, APIs, or batch file processing.

ETL is an important process for many organizations because it allows them to centralize their data and make it more accessible for analysis and reporting. ETL can also help to improve the quality and consistency of data by cleaning and transforming it before it is loaded into the target system.
Here are some examples of how ETL can be used:

  • A company might use ETL to extract data from its customer relationship management (CRM) system, its sales system, and its marketing system. The data would then be transformed into a consistent format and loaded into a data warehouse. The data warehouse could then be used to analyze customer behavior, track sales performance, and measure the effectiveness of marketing campaigns.
  • A healthcare organization might use ETL to extract data from its electronic health record (EHR) system, its billing system, and its claims system. The data would then be transformed into a consistent format and loaded into a data warehouse. The data warehouse could then be used to analyze patient outcomes, track financial performance, and identify areas for improvement.

ETL is a powerful tool that can help organizations to improve their data management and decision-making.