An Intelligent Data Status Manager in Heterogeneous Enterprise Landscapes for Ensuring Data Consistency & Resiliency

Data exchange is a common aspect in a large industry solution. It flows from various systems and connects implementations for complicated business scenarios. Enterprise Cloud applications are often time, legal, and operationally critical to always function 99.9999% of the time in a stable state. To maintain this stability, we also need to maintain the sanctity and consistency of data, as large enterprise applications are often data-driven. The paper introduces a new component called the “Intelligent Status Manager” which is an intelligent component residing and interacting with the enterprise application on each of the landscapes. The Intelligent Status Manager keeps a track of incoming data and assigns statuses to each of this information at every step, and when it becomes inconsistent, will correct it. The correction involves an algorithm that uses the metadata, keys, etc., to check what was the last successful data, which would be the best last point of reviving for the process to continue. This paper looks at a technique that helps in making such corrections automatic and achieves higher efficiency in data resilience and consistency.