In the whole O&G industry, data is taking a more and more important role in all business decision processes.
Most managers, however, are not data management experts. The purpose of this course is to highlight how critical and valuable data is, and also to emphasize on the benefits of robust data management on business.
Public :
Management level.
Level :Awareness
Prerequisite :
Management experience.
No prerequisites in data management nor IT.
Course Content
INTRODUCTION TO DATA MANAGEMENT
What is data management and why is it critical.
What are the core disciplines of data management.
Why should the business be concerned with data management.
What are the benefits of robust data management.
What are the business issues when data management is not in place.
DATA QUALITY & MASTER DATA MANAGEMENT
What are the different facets of data quality.
Why validity is often confused with quality.
What are the real implications of “single view” of a data object (e.g. well, customer) and what needs to be established to make this a reality.
What are the technical solution options… and their implications.
Statoil (Equinor) case study.
BUSINESS DATA GLOSSARY
What are data models and why they are still critical.
The big mistakes made with big data and why data modeling is required.
Why data modeling plays a critical part in data governance and bp case study.
Metadata and business glossaries. What’s the connection and why it’s an essential component in a business.
CYBER DATA RISK & SECURITY
Identification of different types of threats.
Approaches and the adoption of defenses to prevent unauthorized access, use or loss of data and particularly abuse of personal data.
Identification of risks (not just security) to data and its use.
Data management considerations for different regulations, e.g. GDPR, BCBS239.
The role of data governance in data security management.
DATA CENTRICITY & GOVERNANCE
What do we mean by data centricity?
What must be put in place to become data centric?
Components of a great data strategy.
Establishing goals and gaining buy-in for a data strategy.
How to get started with data governance in bite sized chunks.
Learning Objectives
Using concrete examples, the value of robust Data Management is made clear. Understanding which risks you are facing will then help you define efficient measures to drive down these risks to acceptable levels. We will address questions such as:
Why is data management critical for successful business,
What are the benefits of robust data management.
Ways & Means
Virtual classroom ended by a business case.
More
Coordinator :IFP Training trainers (permanent or contracted) having a good expertise and/or experience of the related topics, trained to adult teaching methods, and whose competencies are kept up-to-date.
To French entities : IFP Training is referenced to DataDock ; you may contact your OPCO about potential funding.
Please contact our disabled persons referent to check the accessibility of this training program : referent.handicap@ifptraining.com
IFPT Account
