It provides a structured approach for achieving data fluency
It covers the holistic concept of data fluency that involves:
Individual capabilities
Organizational data culture and ecosystem
Data fluency for individuals
Data fluency emphasizes the development of data skills among all employees
Business users: business executives, sales representatives, marketing and operations managers
Data experts: data analysts and data scientists
So that they can use data to make informed decisions
Link business problems with data
Setting measurable goals
Identifying problems using key metrics
Translating those problems into analytical questions
Work with data
Data cleaning
Performing data exploration techniques
Data visualization
Describing data
Basic statistical concepts and measures
Communicate with data
Using data storytelling effectively
Presenting data-driven insights
Interpreting complex data analysis results into actionable insights and decisions
The role of data experts
Data experts such as data analysts, scientists, and engineers play an essential role
They can handle more complex data tasks
Their presence:
Accelerates data-driven projects
Provides mentorship
Ensures industry best practices and standards
Organizational environment for data fluency
Achieving data fluency is not only about individual data skills
It is important to create an environment in which data fluency can flourish
The data fluent culture
The data fluent culture represents a work environment where data is embraced, valued, and integrated into decision-making processes
The data ecosystem
Infrastructure to provide data access and ensures data quality, security, and compliance
Tools to collect, store, analyze, and visualize data effectively
Processes encompass the workflows, protocols, methodologies, and organizational structures to facilitate data-related activities, collaboration, and communication