Data Culture Flashcards
3 key components to consider when creating a data culture?
Making data-driven decisions
Prioritizing data literacy
Encouraging continuous experimentation and development
What is data culture?
Collective behavior and mindset within an organization toward using data
Data culture benefits
Enhanced decision-making
Improved operations
Achieved business goals
Effects of having data culture:
Efficiency booster
ROI of data
Challenges in building data culture:
People Challenge
Process Challenge
People challenges involved what?
the human aspects of an organization, such as behavior, attitudes, skills, and knowledge.
Process challenges involved what?
focus on organizations’ systems, procedures, and workflows to manage their operations.
Examples of People challenges:
Data Silos
Data Literacy
Data Ethics
Examples of Process Challenges:
Data Quality
Data Privacy
Data Security
What is data silos?
Occur when information is isolated within teams or departments
Solution for data silos?
Centralized data team/data management system
What is the problem of data literacy?
Reluctant to gain new skills and adapt to changing data trend
Solution to data literacy?
customized training programs
What is data ethics?
Responsible fair and transparent data usage
Data needs to be:
Accurate
Reliable
Up-to-date
Data privacy and security
Extended data usage may lead to overlook of data privacy and data security
What are maturity models?
Assess and plan organization improvement efforts
Typically have multiple levels or stages
Simple 5 level maturity model:
Awareness
Adoption
Standardization
Optimization
Innovation
Knows the importance of data but lacks a plan for using data
Awareness
Attempts for data-informed decisions but have limitations
Adoption
Break through siloes across departments, unifying vision
Standardization
Improve efficiency, coordinating between groups
Optimization
Data culture in place, can use data to drive innovation
Innovation
Data leadership is not necessarily top-level executives
true
