To allow for data to be leveraged as a true organizational asset, Asureti incorporates the data program components of people, process, and technology.
Asureti performed a current state review to assess processes, people, and technology within the organization as compared to desired program structure. From this assessment, initial program components were designed. Program build focused on:
Asureti’s Data Governance program roadmap provides guidance and recommendations related to operational, organizational, technical, and timing considerations enabling alignment with the organization’s defined objectives.
Asureti supported a global financial services entity in its transformative data governance journey by performing a data-related risk exposure assessment. The outcome was intended to help the organization identify key risk points and achieve its data strategy objectives. This assessment included following key data governance principles:
Assessment results provided a roadmap for recommended data governance program enhancements, and incorporated key data management principles into cloud migration efforts.
Asureti designed and implemented a comprehensive data governance program for an insurance industry technology provider. Core build components included:
Program design enabled development of privacy compliance operations, enhanced data protection structures, and enabled transparency of risk reporting related to the organization’s data assets.
Project efforts included design and implementation of data management standards, operational processes, and supporting technologies for a global legal services firm. This increased revenue through invoicing for client data storage. It also decreased costs due to improved retention rates and deletion processes. Efforts included documentation of data life cycles and identification of duplicative/extraneous data sets for deletion (or new invoicing).
Reduction of extraneous data improved data processing structures and aligned data management operations with regulatory and data protection standards. Data management structures also enhanced reporting and operational management insights for an upgraded end-client service delivery.