Organizational change can make or break success. The New England Patriots' shift from centralized leadership to collaboration shows how misaligned structures and unclear roles can derail progress. Discover the key takeaways for businesses navigating transformation and driving effective change.
Your brain is sabotaging your New Year's resolutions with false promises of willpower and motivation. The truth? 92% of resolutions fail—not because you're weak, but because you're flying blind. Want to succeed in 2025? Ditch the hype, trust the data, and learn the science of lasting change.
Only 15% of companies get meaningful value from their data investments. Yet those that do are seeing 3x higher returns than their peers. The difference isn't better tools or bigger budgets—it's a fundamental shift in thinking that most organizations are missing.
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/
Only 15% of companies get meaningful value from their data investments. Yet those that do are seeing 3x higher returns than their peers. The difference isn't better tools or bigger budgets—it's a fundamental shift in thinking that most organizations are missing.
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We've been thinking about data literacy backwards. The challenge isn't teaching people to read data—it's teaching data to speak human. Discover why the most valuable analyst won't be the one who can crunch the numbers, but the one who can make the numbers dance.
Here's the thing about Cognitive Partnership. It's not about having better tools. It's about becoming a different kind of thinker. Cognitive Partnership redefines intelligence by recognizing that human cognition and AI capabilities complement and amplify one another.
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