Data Science Management (DSM)

Data Science Management (DSM) is a structured approach for managing data science projects in the Oil & Gas and Geothermal industries. The process focuses on preparing data, validating data quality, developing predictive models, and delivering business value through repeatable and automated workflows.

DSM is based on Agile principles and the Scaled Agile Framework (SAFe), enabling teams to work in short iterations while continuously improving data quality, analytics, and prediction results.

A typical DSM team is small and focused, bringing together the expertise required to successfully deliver a project. Team members may include data managers, database specialists, software developers, geoscientists, engineers, testers, mathematicians, and project stakeholders.

DSM Process

The DSM process is iterative and typically follows these phases:

• Startup
• Input Data
• Models
• Results
• Deployment

Each iteration typically lasts two weeks, allowing teams to rapidly validate ideas, improve data quality, and deliver measurable results.

Consulting Services

PETRODATAONLINE provides consulting services to help organizations establish and optimize Data Science Management workflows, including:

• DSM process implementation
• PPDM database architecture
• Data quality and validation workflows
• DataOps pipeline design
• Predictive analytics solutions
• Cloud and serverless deployments

Serverless Solutions

We can help organizations migrate applications and workflows to modern serverless architectures.

Benefits of serverless solutions include:

• Full abstraction of server infrastructure
• Automatic scalability
• Pay-for-use cost model
• Reduced operational overhead
• Faster deployment and innovation cycles

Contact us to learn more about our consulting services and how we can help configure a serverless DSM environment in your organization.