Introduction to Data Management - IDM - In House Training

Course

In San Francisco (USA)

Price on request

Description

  • Type

    Course

  • Location

    San francisco (USA)

  • Start date

    Different dates available

Introduction to Data Management - In-house training by PetroSkillsThis course can be conducted on site at your location exclusively for your staff. This course provides an overview of data management in E&P and focuses on the subsurface domain. The need to deliver good data management is increasingly being seen as providing competitive advantage to companies across the E&P industry, since wise business decisions depend on sound data and information. In effect, data management is an enabler of efficient business processes, which in turn creates business value. Participants will leave this course with a thorough understanding of the data management issues and challenges affecting companies. Upon completion of this course, participants will have the knowledge and tools necessary to participate in developing a structured data management framework, which will deal with these issues in a practical and effective manner, and ensure that business efficiency is improved and value realised. This course will provide an understanding of the underlying data management principles and concepts, and using an interactive classroom format, participants will have the opportunity to learn from presentations, exercises and interactive discussions. Course instructors are experienced data management practitioners, who have delivered data management services and data improvement projects to many E&P companiesFind out more

Facilities

Location

Start date

San Francisco (USA)
See map
333 Bush Street, Suite 2400, 94104

Start date

Different dates availableEnrolment now open

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Subjects

  • IT Management
  • Management
  • Data Management

Course programme

Training Course Content

This in-house training programme can be customised to meet your specific requirements. It typically covers:

  • Overview of Data Management: Definition, History of data management, Trends, Data lifecycle, Importance and value of data management, Information orientation, Benefits of good data management, Business case aspects & barriers
  • Data Types: Definitions, Data types, Data models in E&P
  • Common Data Management Issues: Typical data issues (possible pitfalls), Causes of data issues, Data management best practices business impact
  • Data Management Framework: Data governance, Data architecture, Data security, Reference & master data management, Data quality management
  • Building and Sustaining the Data Management Framework: What to do, What not to do, Building consensus & engaging with the business

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Additional information