We have expertise in application and data integration using API, web services and industry standard ETL tools. We have developed standard data connectors and processes to source data from a wide range of industry POS and PMS applications. In addition, we complete on-premises applications using database connections and on-premises and web-based applications using macros.

We have expertise in near real-time, batch data integration services using API, web services and industry standard ETL (extract-transform-load) tools. We pull data from multiple POS/PMS sources and then transform and integrate the data, making it more meaningful for cross functional analysis with higher data quality. This process also transforms and integrates the load into a simplified, highly compressed relational data structure for further reporting and analytics by maintaining a high level of data security throughout the processing and storage.

Data Audit & Balancing:

Data integration architecture also includes implementation of audit and balance processes to ensure the integrity and accuracy of a data transfer. It also includes an easy to use graphical interface to present statistics on the processes.

Data Validation:

Accurate decision making relies heavily on the quality of the information available. We have created a data validation framework to monitor data quality using hundreds of data quality rules, coded as a part of the data integration processes. The framework includes validation of the data on an ongoing basis, presentation of validation result using a graphical interface, and implementation of alerts and notifications when critical data quality issues are discovered.