Achieving data fluency

Data Fluency

Konstantinos Kattidis

Data Analytics Lead

Why do we need a framework

  • 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

Person thinking about a framework

Data Fluency

Data fluency for individuals

Employees standing next to each other

  • 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
Data Fluency

Link business problems with data

Framework at individual level

  • Setting measurable goals
  • Identifying problems using key metrics
  • Translating those problems into analytical questions
Data Fluency

Work with data

Framework at individual level

  • Data cleaning
  • Performing data exploration techniques
    • Data visualization
  • Describing data
    • Basic statistical concepts and measures
Data Fluency

Communicate with data

Framework at individual level

  • Using data storytelling effectively
  • Presenting data-driven insights
  • Interpreting complex data analysis results into actionable insights and decisions
Data Fluency

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

Data expert with a board of advanced data skills

Data Fluency

Organizational environment for data fluency

Person thinking about tools

  • Achieving data fluency is not only about individual data skills
  • It is important to create an environment in which data fluency can flourish
Data Fluency

The data fluent culture

Framework at organizational level

  • The data fluent culture represents a work environment where data is embraced, valued, and integrated into decision-making processes
Data Fluency

The data ecosystem

Framework at organizational level

  • 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
Data Fluency

The complete data fluency framework

The complete data fluency framework

Data Fluency

Let's practice!

Data Fluency

Preparing Video For Download...