Chapter 11Ensuring Data Literacy
In this chapter, we will examine the following:
- What data literacy means
- The importance of data literacy
- How people develop and retain data literacy skills
- How organizations are implementing data literacy programs
- Measuring literacy and literacy progress
Data literacy is critical for organizations that want to succeed with data, analytics, and AI. I’ve mentioned it in previous chapters, and it is part of the AI Readiness Model described in Chapter 3. It is such an important topic that it requires its own chapter. Notice in this chapter that I’m going to talk about data literacy, but this data literacy will also form the foundation for AI literacy, and it is an important part of becoming ready for AI.
What Data Literacy Means
As part of the move to democratization and utilizing AI-infused tools and generative AI to gain insights into data, businesses need to improve their overall data literacy. Data literacy involves the awareness and recognition of the value of data, how well people understand and interact with data and analytics, and their ability to communicate data-driven insights to impact behavior and achieve business goals. It includes understanding the business and data elements, framing analytics, applying critical interpretation, and developing communication skills.
Data literacy is not only for IT and business analysts; it is an important skill for individuals across the organization, although the literacy level may vary based ...
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