What is data culture?
Introduction to Data Culture
Joanne Xiong
Content Developer, DataCamp
Improve your fitness plan
Goal: improve fitness plan
Data provided by personal fitness tracker:
Number of steps you take
Calories you burn
Amount of time you spend exercising
Problem: no concrete plan to achieve the goal
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Improve your fitness plan cont.
Analyze your available data
Understand the messages conveyed
Communicate with others
From
HAVING
data to
USING
data
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Data culture in a nutshell
COLLECTIVE
behavior and mindset within an organization toward using data
Applies to
ALL
industries and
ALL
stakeholders
Regardless of technical acumen (e.g. HRs)
Business sizes are irrelevant
Key components of data culture (1)
Making data-driven decisions
Evaluate strategy
Identify opportunities
Measure success
Evidence over intuition or opinion
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Key components of data culture (2)
Prioritizing data literacy
Be able to read, interpret, and analyze data
Requires long-term commitment
Organizational-wide effort!
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Key components of data culture (3)
Encouraging continuous experimentation and development
Test innovative ideas
Learn from failures
Quickly adapt to changes
Helps evaluate innovative ideas' effectiveness
Helps identify improvement areas
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Data culture benefits
Benefits:
Enhanced decision-making
Improved operations
Achieved business goals
Let's practice!
Introduction to Data Culture
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