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Information bombards us from every angle, making the ability to discern fact from fiction crucial. With 75% of adults falling for fake news, data literacy emerges as our compass in the digital landscape. Learn how critical thinking can combat clickbait culture and empower informed decision-making.
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Data literacy can be defined in various ways, but it's not merely about data science or predictive analytics. It involves understanding how to transition from raw data to valuable insights within your specific role.
If you're involved in preparing the data, you need a certain set of skills and mindset for its transformation. If you are consuming the data, perhaps interpreting a report someone else has created, comprehension at a high level is required. For instance, if given a statistical report with 95% probability, there's always risk associated as it isn't 100%.
It's essential to remember that although technical skills are important in understanding data, decision-making also requires human and soft skills such as challenging biases and considering diverse perspectives.
I have created two assessments that are referenced in the book Data Literacy in Practice which I co-authored with Angelika Klidas to test knowledge of data literacy. You can take the assessments online here.
Kevin is an author, speaker, and thought leader on topics including data literacy, data-informed decisions, business strategy, and essential skills for today. https://www.linkedin.com/in/kevinhanegan/
Effective communication matters more than ever. Whether you're presenting key insights to executives or trying to convey complex analyses to colleagues, your ability to craft compelling data narratives can make or break your message.
Data has become a cornerstone of decision-making across sectors, and understanding its implications is crucial. However, data alone provides an incomplete picture.
A key question facing data-driven organizations is whether to equip business units to perform their own analytics via self-service data access or rely solely on centralized data teams and tools. What is the right operating model to balance control with agility?
Critical thinking is key for informed decisions. Like puzzle pieces, we must examine the information presented, consider what's missing, and avoid jumping to conclusions. Gather diverse data to get the full picture. Use questioning techniques to identify limitations and alternative explanations.
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