Join the Lights On Data Show with guest Jordan Morrow, Head of Data at Pluralsight, as he discusses the four levels of analytics and the importance of data literacy. They explore data's impact on business strategy, the need for a data-driven culture, and the significance of data literacy in education.
Data literacy is essential for success as data becomes more prevalent and technology advances.
All four levels of analytics (descriptive, diagnostic, predictive, and prescriptive) must be utilized to drive a holistic data strategy.
Deep dives
The Importance of Data Literacy
Data literacy is not a trend but a necessity. As data becomes more prevalent and technology advances, the ability to use data effectively is crucial for success.
The Four Levels of Analytics
Analytics can be categorized into four levels: descriptive, diagnostic, predictive, and prescriptive. Most organizations focus on the first two levels, but in order to drive a holistic data strategy, all four levels must be utilized.
The Role of Culture in Data and Analytics Success
Culture plays a crucial role in the successful adoption and implementation of data and analytics. Without a data-driven culture and an organization that values and promotes data literacy, efforts in data and analytics are likely to be ineffective.
The Need for Data Literacy in Education
Data literacy should be taught at an early stage in education to prepare students for the data-driven world. Just as reading and writing are essential skills, data literacy is becoming increasingly important for individuals in their personal and professional lives.
What are the four levels of analytics? What about data literacy? How do these tie in with the data culture and business strategy?
Join this episode of the Lights On Data Show with our guest, Jordan Morrow - the Godfather of Data Literacy, and learn about all of this. Jordan is the Head of Data, Design, and Management Skills at Pluralsight, and the author of "Be Data Literate: The Data Literacy Skills Everyone Needs To Succeed"
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