Field Guide to Compelling Analytics (Chapman and Hall/crc Focus Case Studies in Analytics and or)

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Field Guide to Compelling Analytics (Chapman and Hall/crc Focus Case Studies in Analytics and or)

DeGrange, Walter/ Darrow, Lucia

ウェブストア価格 ¥14,472（本体¥13,157）
Chapman & Hall/CRC（2022/08発売）
外貨定価 US$ 68.99
ポイント 131pt

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製本 Hardcover:ハードカバー版／ページ数 110 p.
言語 ENG
商品コード 9781032065250
DDC分類 515

Full Description

Field Guide to Compelling Analytics is written for Analytics Professionals (APs) who want to increase their probability of success in implementing analytical solutions. In the past, soft skills such as presentation and persuasive writing techniques have been the extent of teaching junior APs how to effectively communicate the value of analytical products. However, there are other aspects to success such as trust and experience that may play a more important role in convincing fellow APs, clients, advisors, and leadership groups that their analytic solutions will work.

This book introduces the formula 'Analytics + Trust + Communication + Experience > Convince Them' to illustrate an AP's ability to convince a stakeholder. The 'Convince Me' stakeholders might be an analytics team member, team lead, decision-maker, or senior leader that are either internal or external to the AP's organization. Whoever they are, this formula represents a concise, digestible, and above all practical means to increase the likelihood that you will be able to persuade them of the value of your analytical product.

Features

Includes insight questions to support class discussion
Written in broadly non-mathematical terms, designed to be accessible to any level of student or practicing AP to read, understand, and implement the concepts
Each section introduces the ideas through real-life case studies

1. Introduction. 1.1. Defining an Analytics Professional. 1.2. Design of the Book. 1.3. Purpose of the Book. 1.4. Kidney Paired Donation Case Study. 2. Defining Analytics. 2.1. Real World Impact of Analytics. 2.2. Types of Analytics. 2.3. The Analytics Process. 2.4. Selecting an Analytical Approach. 2.5. Model Building. 2.6. Deploying a Model. 2.7. Post Deployment: Model Maintenance and Data Management. 2.8. Wrapping up Analytics. 2.9. Analytics Example: Kidney Exchange Model. 3. Trust. 3.1. What is Trust and Why it is Important. 3.2. How to Build Swift Trust. 3.3. Conventional Trust. 3.4. Trust in the Math Model. 3.5. Ethical Issues. 3.6. Real World Impact - Predictive Policing. 4. Communication. 4.1. The Goal of Communication. 4.2. Laying the Groundwork for Successful Communication. 4.3. Setting the Context. 4.4. Managing Expectation. 4.5. Make the Audience Care. 4.6. Atomizing Knowledge. 4.7. Levels of Understanding. 4.8. Gathering Information on Processes and Data. 4.9. Communicating with a Technical Audience. 4.10. Guiding the Conversation. 4.11. Using Data Visualization Effectively. 4.12. Minimizing Misleading Communication. 4.13. Spreading your Message. 4.14. Communications Example: Kidney Exchange Model. 5. Experience. 5.1. Organizational Experience. 5.2. Types of Experience. 5.3. Specialists Versus Generalists. 5.4. Learning Through Failure. 5.5. Starting Off: Creating Ways to Gain Experience. 5.6. Analytics Self Care. 6. Convince Them. 6.1. The Compelling Analytics Message. 6.2. Dimensions of Model Success. 6.3. Creating and Sustaining the Change. 6.4. How the Elements Interact. 6.5. Data and Denim. 7. Conclusion. 7.1. Why the Human Element Matters. 7.2. The Human Advantage over Automation. 7.3. Summing it Up. 7.4. Putting into Practice.