A Comprehensive Data Governance Framework for Multi-Source Data Systems in the Utility

Authors: Urvangkumar Kothari

DOI: https://doi.org/10.5281/zenodo.14980764

Short DOI: https://doi.org/g868rr

Country: USA

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Abstract: This paper presents a full data governance framework to manage multi-source data systems in the utility industry. The framework incorporates advanced methods to solve data heterogeneity, security vulnerabilities and regulatory compliance. It introduces three key innovations: (1) a cross-domain data unification model using ISO/TC 211 geospatial standards and master data management principles to harmonize multiple utility data sources; (2) a privacy-preserving architecture combining Byzantine-tolerant aggregation and differential privacy mechanisms to get 95% data utility while re-identification risk be- low 0.3% and (3) adaptive governance structures inspired by telecommunications industry to automate compliance workflows and improve operational efficiency. The framework has a 4-layer architecture: distributed data acquisition, automated quality assurance, secure storage and real-time analytics integration. Case studies show significant benefits: 22% reduction in water pipeline maintenance costs through geospatial-event correlation and 30% improvement in outage response times using CEP-based anomaly detection. The framework is scalable with 12 TB/hour processing capacity and $0.003/GB using erasure coding. Aligning with smart city architecture and UN Sustainable Development Goals, this framework modernizes utility operations and enables sustainable urban development. It is the key to utilities to unlock their data assets through interoperability, privacy-preserving mechanisms and scalable analytics.

Keywords: Data Governance, Utility Systems, Smart Grids, Multi-Source Data, Interoperability, Privacy, Scalability, Analytics, Regulatory Compliance, Smart Cities, Sustainable Development Goals

Paper Id: 232216

Published On: 2019-11-03

Published In: Volume 7, Issue 6, November-December 2019

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