A modern data platform enables operational efficiency by integrating data from disparate source systems into a centralized pipeline, streamlining the processes for data storage, management, retrieval, and analysis. It includes an integration hub for data alignment, a data lake to preserve historical records, a data warehouse for data governance, data marts with shared APIs to facilitate curation, search, and specialized services, and AI-enhanced curation between the data zones. 

This data integration enhances constituent engagement through increased personalization, optimizes resources across people and technology, and boosts productivity by enabling a focus on value-add activities. Additionally, we establish robust systems, processes, and protocols to ensure data security and compliance. 

Our approach to infrastructure design is strategic and holistic. Through data profiling, we identify the best conceptual data model that utilizes the full scope of available data, mapping interactions between data attributes and profiling individual data elements.