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Digital Transformation of Data Management Systems

Generating a huge amount of data, the petroleum industry relies on high-performance data management systems to enhance operations, from increasing productivity and cutting CAPEX, to limiting environmental impact and enhancing worker safety.

The integration of AI-powered data management solutions with the industry’s digital transformation strategy could help companies reduce OPEX and unplanned downtime. Yet the industry still hasn’t fully embraced the use of technology with core business practices.

Key fact: The oil and gas sector’s digital maturity is only 4.68/10

Modern data management systems use real-time data analysis and machine learning (ML) capabilities to provide predictive analytics on operations.

Using sensors and AI technology, they provide powerful insights that aren’t only critical to predictive maintenance agendas, but also to overall operational efficiency.

Key fact: Digital technologies can cut unplanned downtime by up to 36% and upstream operating costs by 3-5%

Adopting digital data management solutions is also crucial to data security. Using cloud computing and scalable data lakes, multiple data sets are stored in a central repository, giving cybersecurity teams better visibility of system weaknesses, and allowing them to be proactive, rather than reactive, in the case of a security breach.


  • Improves data quality

  • Safeguards against cyberattacks

  • Enhances operational efficiency

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