The energy industry has experienced a rapid increase in measured and interpreted data creating challenges to data quality management, such as device calibration, interpretation reliability, and data integration. Additionally, demand for high-quality data has intensified due to new large-scale uses in analytics, business intelligence, data science, and machine learning. However, limited resources make it hard to address these challenges effectively.

This session proposes a collaborative mechanism to prioritize data problems based on users' perspectives. The approach follows a double diamond divergence/convergence framework, with data users collaborating to identify and prioritize data types and their associated issues. The selected high-impact problems are refined using the 5h2w technique, leading to an action plan for data quality improvement.

This innovative approach combines data management with design thinking, representing a pioneering endeavor in the energy industry. The mechanism has already been successfully implemented yielding positive outcomes and earning recognition from the management team.

• Planning
• Data mapping
• Problem description
• Action planning

Speaker: Kellyne Marques Santos

Kellyne Marques Santos, MBA, is a Data Governance specialist with almost 20 years of experience within oil and data. She has a master’s degree in Computer Science from the Catholic University of Rio Grande do Sul (Brazil) in Database/BI, she studied data science in Italy (UNITO) and has a postgraduate degree in Philosophy. She has 4 years of experience in data governance and helped build the data governance and data literacy program for some business sectors of this industry; previously she played multiple data roles in the IT sector as a data architect, data modeler, ETL specialist, data analyst, business analyst, etc. and was a professor at two universities in Brazil.

Speaker: Rodrigo Moreira Araújo

Rodrigo Moreira Araújo is a Data Science advisor working at the Reservoir corporate area of Petróleo Brasileiro SA (Petrobras). He graduated as a computer engineer in 2008 and joined Petrobras soon after in 2009. In 2016, he obtained a master's degree in Petroleum Engineering and, in 2020, completed an MBA in Data Science. Over the last 15 years, has also worked as a completions designer and reservoir engineer.