Data Infrastructure Modernization resulted in 600 person hours per week of manual effort saved, enabling business to focus on decision making.

The problem

The current system lacks the capability to migrate unstructured LOS data, resulting in difficulties integrating LMS and LOS data, which hampers end-to-end visibility for business decision-making. To address this challenge and enable the organization to leverage data for automation, real-time analytics, and potential AI/ML applications, a robust long-term data strategy is needed. This strategy should consider scalability to accommodate data growth, while also providing a framework for integrating structured and unstructured data into a centralized Data Lake or Data Warehouse which acts as a single source of truth. By implementing the right architecture, the organization can achieve comprehensive data integration, enabling efficient data utilization and empowering advanced analytics and AI/ML capabilities.

Methodology

Data from various sources is ingested into the cloud environment and consolidated into a centralized Data Warehouse, enabling improved analytics and visualization. This process eliminates data redundancies and siloes, ensuring a cohesive and comprehensive view of the organization's operations. The data is tracked across multiple processes, including Partner Onboarding, Partner Journey, Lead to Disbursement, and Portfolio Assessment. By centralizing the data and leveraging it effectively, the organization gains valuable insights that drive informed decision-making and enhance overall operational efficiency.

Our impact

The modernized platform successfully integrates LOS and LMS data, providing the business with end-to-end visibility into partner, prospect, and customer journeys. This integration facilitates faster decision-making and automation processes while significantly reducing the dependency of business teams on IT for data access and report creation, consequently eliminating the scope of manual errors. As a result, the organization saves approximately 600 person hours per week in manual effort, enabling the business to redirect its focus towards critical decision-making tasks rather than report creation. The streamlined platform empowers the organization to leverage data effectively, enhance operational efficiency, and drive strategic growth.