Data Literacy Culture and Adoption for Competitive Advantage

  • This book is to give you an understanding of data literacy and its practicality, in order to improve business decision-making and obtain a competitive advantage. A huge collection of data has widened and reached to every business unit and industry sector. Therefore, it is an opportunity for them to deduce the answer from data.  Such concepts are typical and contain the spirit of business analytics. To get success in today’s competitive environment – analytical thinking is the only option left to the businesses to compete and solve problems.
  • Thinking and decision-making by data-analytically consist of a theoretical framework. Understanding the process and structure of data-analytical thinking is crucial to make more effective decisions and stay away from omissions and errors. The evidence for effective decision-making backed by data analytics is much more convincing. The usage of technology improves our chances of better decisions and lead to business performance.
  • Data Literacy Culture in an organization is the only way to survive in the current competitive market. Nowadays various aspect of data literacy i.e. Reading data, Working with data, Analyzing data, Argue with data is an essential skill for a workforce.
  • Data Literacy Adoption is the empowerment of enterprises and individuals is indispensable for effective consumption of data.

Table of Contents

Chapter 1: Introduction  

  • Data Literacy  
  • Data literacy in human resource  
  • Company-wide data accessibility  
  • Data-backed decision-making  
  • Data sharing platform  
  • Critical approach  
  • Competitive advantage from data literacy  
  • Data-driven predictions: A case-study  

Chapter 2: Data Analytics  

  • Data-Analytic Thinking  
  • Analytic-thinking in practice  

Chapter 3: Data Literacy Culture  

  • Reading data  
  • Working with data  
  • Analyzing data  
  • Argue with data  
  • Cultural Agility  
  • Technology & human complexity  
  • Entrepreneurship  
  • Cross-border dealings  
  • Skill development methodologies
  • Learning spirit in a culture  
  • Data Fluency  
  • Analytical skills  
  • Statistical methodologies  
  • Business intelligence and visualizations  
  • Learning  
  • Mentoring  
  • Human Literacy  
  • Professional growth  
  • Human skills  
  • Collaborative efforts  
  • Diversity  
  • Data personas  
  • Top level leadership  
  • Team Leaders  
  • Data scientist
  • Data Champs  
  • Data optimist  
  • Data Skeptic  
  • Implement a data-driven culture

Chapter 4: Data Literacy Adoption  

Six-step approach  

  1. Planning and Vision 
  2. Communication 
  3. Workforce Assessment 
  4. Cultural learning 
  5. Prescriptive Learning 
  6. Measurement