Textbook in PDF format

Your comprehensive guide to mastering The Data Component of your EOS Model—taking you from uncertain to unstoppable. Have you ever felt lost in knowing how your business is actually doing? Were you surprised by events that you didn't see coming? Did you spend sleepless nights wondering whether or not your company was going to make it? Then Data is for you. This data-driven handbook is the third installment of the Traction Library's EOS Mastery Series that provides all the tools you need to build an environment of transparency and get better results through clarity and accountability. Data will make you expert at Using data in business Creating meaningful Scorecards Implementing Measurables for every member of your team And identifying ways to drive more cash into your company. As one of the six components of the EOS Model, The Data Component helps you refine, simplify, and achieve your vision of understanding the numbers behind how your business is operating. The Data Component is designed to help you objectively see where you are going—both as a leader and as a company. It takes assumptions, subjective opinions, emotions, and ego out of the equation. You'll gain confidence in knowing that you are running the business and it's not running you. Data will give you more control and assurance in getting more of what you really want out of your team, your EOS model, and your business. Introduction: What Is Data-Driven Decision-Making and Why Does It Matter? Data Strategy: How to Align Data Initiatives with Business Goals and Objectives Data Products Data Culture: How to Foster a Data-Driven Mindset (Data Literacy) and Behavior Data Sources: How to Find, Collect, and Manage Data for Business Value Data Visualization and Presentation: How to Present and Communicate Data Effectively for Decision-Making Data Analysis: Understand How Descriptive, Predictive, and Prescriptive Analytics Can Support the Organizational Decision Processes Data Infrastructure: How to Build and Manage a Data Ethics: How to Ensure the Data Practices Perspectives on Decision-Making Using Generative AI