Full Title: How to Build Data Literacy in Your Company
Document Note: Lack of data literacy skills among top 3 barriers in building strong data initiatives
Data literacy definition involves reading data, working with data, analyzing data and being able to argue with data. Paper
Challenging because requires high level in skills that haven’t usually been taught together: data analysis + effective data communication
Not everyone needs to become a data scientist, it is important to assess the level of skills needed by each role.
Why you need data literacy:
Data literates make better decisions
Decisions have to be taken faster than ever
Data literacy roadmap:
Define data literacy goals
Assess current skills levels
Design learning paths
Principles:
Focus on data, not on technology
Agree on the level of proficiency fo different job types
Avoid jargon
Define success metrics
In order to become data driven: we also need data maturity, data-driven leadership and data-drive decision making
Data literacy — the ability of a company’s employees to understand and work with data to the appropriate degree — can be a stepping stone or a stumbling block when it comes to building a data-driven company. (View Highlight)
