What situation(s) led to this Data Science Self Assessment? What will be the consequences to the business (financial, reputation etc) if Data Science does not go ahead or fails to deliver the objectives? What are the business objectives to be achieved with Data Science? Which customers cant participate in our Data Science domain because they lack skills, wealth, or convenient access to existing solutions? How do we Lead with Data Science in Mind? Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role... In EVERY company, organization and department. Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' For more than twenty years, The Art of Service's Self-Assessments empower people who can do just that - whether their title is marketer, entrepreneur, manager, salesperson, consultant, business process manager, executive assistant, IT Manager, CxO etc... - they are the people who rule the future. They are people who watch the process as it happens, and ask the right questions to make the process work better. This book is for managers, advisors, consultants, specialists, professionals and anyone interested in Data Science assessment. All the tools you need to an in-depth Data Science Self-Assessment. Featuring 639 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data Science improvements can be made. In using the questions you will be better able to: - diagnose Data Science projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Data Science and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data Science Scorecard, you will develop a clear picture of which Data Science areas need attention. Included with your purchase of the book is the Data Science Self-Assessment downloadable resource, which contains all questions and Self-Assessment areas of this book in a ready to use Excel dashboard, including the self-assessment, graphic insights, and project planning automation - all with examples to get you started with the assessment right away. Access instructions can be found in the book. You are free to use the Self-Assessment contents in your presentations and materials for customers without asking us - we are here to help.