Protecting, guiding, and harnessing data wisdom

Data Management Concepts

Sharon Omwega

Data Scientist

Keeping data secure

Three images showing different types of varying security measures.

Data security - protection of data from unauthorized access, corruption, or theft
Security measures include: encryption, access controls, firewalls, anti-virus software
Data privacy - protection of personal information to prevent misuse or unauthorized access
Privacy measures include: data anonymization, consent management, privacy policies

¹ Images in this lesson were created using Freepik

Data governance establishes a formal framework for decision-making, control, and accountability around data assets
Involves creating data policies, assigning stewardship responsibilities, and ensuring regulatory compliance
Frameworks like DAMA-DMBoK or EDM Council DCAM offer a structured approach
Data governance is a subset of data management

Image showing data governance elements on a 4-point origami pinwheel. They are controls, stewardship, processes and policy

Business intelligence provides historical, current, and predictive views
Utilizes components such as data warehousing, reporting, and dashboards
Data science extracts insights from both structured and unstructured data
Employs machine learning, big data analytics, computer science, and predictive modeling

Blown up, close-up of an analysis document being scrutinized by two individuals with a magnifying glass.

Data Management Concepts