A comprehensive data governance framework, the pragmatic guideline for big data analytic in smart utility

During the past years, all power utility play much attention in Smart Grid (SG) vision and started to do their roadmap for being smart power utility in a very short future. Therefore, many technology have been investigated whether to apply in their SG roadmap, generation, transmission, distribution and operation/control system.

One principle technology that shall make SG vision realistic in term of holistic management is the information management technology. Big Data analytic is the example of information management technology that has been introduced to improve the performance of power utility by analyzing and predicting the huge of Data in their operation system such as meter, sensor in substation or control center. Conceptually, basic principle of Big Data Analytic is the system that capable to store, process, analyze and visualize the high volume and velocity of data. Moreover Big Data analytic principle is able to support an analyzing of non structure data such as picture, text file and html file format. Therefore the topic of applying Big Data analytic in SG roadmap is much talking in many symposium currently. Most of the Big Data analytic papers usually shown the key feature and benefit when they apply in their Big Data in power utility operation system. Unfortunately, there have no any publication or study presents about Data Governance which is a very important success factor for Data analytic. This article addresses the problem of the Data Governance and proposes a comprehensive Data Governance framework which is a pragmatic guideline for successful information management in Big Data environment of smart utility. We address the challenge of Data management and summarize the impact of Data management in term of Data quality, consistency and accuracy. To be animplementation guideline, the process of Data Governance, key activity as well as role/responsibility of Data Governance participant are also presented.